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Veritasium
The World's Most Important Machine
The World's Most Important Machine
Veritasium
·
55:00 · 31 thg 12, 2025
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0:00
This is a microchip.
0:01
When you zoom in, you find a nanoscopic computing city.
0:04
Skyscrapers hundreds of layers tall with hundreds of kilometers
0:08
of wires connecting everything.
0:10
And at the very bottom is this. Billions of them.
0:17
They are the ones and zeros of our
0:20
The chip works by whizzing electrons from transistor to transistor.
0:23
And the smaller you can make those transistors,
0:25
the less the signals have to travel, so the faster they can
0:29
>> Plus, you can fit more transistors
0:31
into the same area, resulting in a much more powerful chip.
0:35
>> So, for over 50 years, transistors
0:37
got smaller and smaller.
0:39
And the number you could fit on a chip doubled every 2 years.
0:42
This became known as Moore's Law, named for Intel's co-founder
0:46
Gordon Moore after he noticed the pattern back in 1965.
0:49
And it's been one of the main drivers
0:51
of the tech industry.
0:52
But around 2015, progress came to a screeching halt.
0:56
And we might have never gotten past it if it wasn't for a single
0:59
company that makes these machines,
1:02
the machines that saved Moore's Law. >> Holy.
1:05
This is a video about the most complicated
1:08
commercial product humanity's ever built. >> That's insane.
1:12
>> It costs a whopping $400
1:14
million, and it is so bizarre
1:16
that I want to introduce it to you with a thought experiment.
1:21
Imagine you are shrunk down to the size of an ant.
1:25
And you're given a laser that's strong enough to melt through metal like
1:29
Next, a tiny droplet of molten tin, roughly the size of a white blood
1:33
cell, is shot out in front of you around 250 km/h.
1:37
And your task is to hit this nut once,
1:40
not twice, but three times in a row in 20 microseconds
1:44
with your little Well, that is exactly
1:47
what this machine does.
1:48
It hits one tiny tin droplet
1:50
three times in a row,
1:51
heating each one up to over 220,000
1:55
That's roughly 40 times hotter
1:57
than the surface of the sun.
1:59
And it doesn't just hit one droplet,
2:01
it hits 50,000 droplets every single second.
2:05
>> How often do you miss a laser shot?
2:07
>> We don't miss them. >> What?
2:09
You do 150,000 laser shots a second
2:12
and you don't miss
2:15
>> The same machine also contains mirrors that might just be the smoothest
2:19
objects in the universe.
2:21
If you scale one up to the size of the Earth, then the largest
2:24
bump would be no bigger
2:25
than a playing card.
2:26
On top of that, it is able to overlay one layer of a chip
2:29
perfectly on top of another and never be off by more than five atoms.
2:34
And this is all happening while parts of the machine whip around at accelerations
2:38
of over 20 For 30 years, almost everyone thought that actually building this machine was impossible.
2:45
And yet, it exists.
2:47
There is only one company
2:49
in the world that can make it.
2:51
So, what is this company
2:52
and what is this impossible
2:54
machine they've >> This video is sponsored by Brilliant.
2:57
More about them at the end of the show.
3:00
Now, just as a quick aside, the makers of this machine didn't actually sponsor this video.
3:05
We just thought that the science and engineering here were so cool that we
3:08
had to make a video about it.
3:10
So, let's jump straight in.
3:12
>> To make a microchip,
3:13
you start by taking silicon dioxide,
3:15
usually from sand, and purifying
3:17
it into ultra-pure, nearly 100% silicon chunks.
3:22
Which is then melted down in a special
3:25
Next, you lower a small seed crystal into the vat.
3:28
Silicon atoms attach to the crystal, extending its structure.
3:32
Then you slowly raise the seed crystal while rotating
3:35
it, and this results in a large single crystal silicon ingot.
3:39
>> This is where the seed crystal would be.
3:41
>> And then you pull it out. >> Can I touch it? >> Yeah, you can.
3:44
>> It seems like you would not be able to hold this from here.
3:48
>> It even feels fragile don't if you kind >> It'll snap thing?
3:51
>> Uh, yeah, I'm I'm scared of the break it. Yes.
3:54
>> Uh, he's using more force.
3:56
>> The ingot is then cut into wafers with diamond wire saws,
3:59
up to 5,000 of them,
4:01
after which each wafer is carefully
4:05
Next, it's coated with a light-sensitive material called photoresist.
4:08
There are different kinds, but in a positive
4:10
photoresist, the areas exposed
4:12
to light become weaker and more soluble.
4:15
So, if you shine light through a patterned mask, you can selectively
4:18
weaken parts of that coating.
4:20
>> Then, you rinse the wafer with a basic solution to wash away the exposed
4:23
photoresist, leaving the design imprinted.
4:27
So, now you can actually turn this pattern into physical structures.
4:31
This is often done by etching into the uncovered
4:33
silicon by using either chemicals or plasma.
4:36
And then, you deposit a metal like copper to fill in those etched lines.
4:41
As a last step, you wash away the remaining photoresist,
4:44
and now you've made a single
4:46
layer of the chip.
4:48
We've simplified this cycle down to the main steps:
4:50
coat, expose, etch, and deposit.
4:53
It repeats for every single chip layer, and depending on the chip, there could
4:56
be anywhere from 10 to 100 layers.
4:59
The bottom layer is the transistors.
5:01
This is the most complicated
5:02
layer, requiring hundreds of steps
5:04
that all need to be perfect.
5:06
The higher layers are a little easier.
5:09
These are the metal wires that carry signals and power.
5:12
By the end, the completed
5:13
wafer can have hundreds of chips, which are then cut into separate pieces,
5:17
packaged, and put into products.
5:20
>> But, by far the hardest
5:21
and most crucial step in the process
5:23
is where you shine light through the mask and onto the wafer. This is photolithography.
5:28
And that's because this step determines
5:30
how small you can make the features.
5:33
>> At first, it seems simple.
5:35
Light passes through the openings,
5:36
and it gets blocked
5:37
by all the rest.
5:39
But, as you try to print smaller and smaller features,
5:42
the gaps in the mask start to approach the wavelength
5:45
of the light, and that causes problems.
5:48
And, we can actually show it because I happen to have a
5:51
This is a mask.
5:51
This is a reticle.
5:53
A reticle or a mask carries the design of one chip layer.
5:56
This reticle is filled with microscopic
5:58
lines and gaps around 670 nm across.
6:02
And, if I take like a laser pointer,
6:03
so this is a red laser. Yeah.
6:05
If I shine it through it, then you see this here.
6:10
The laser has a wavelength of around 650 nm.
6:13
When light hits the reticle,
6:15
its wavefronts bend as they pass through each gap.
6:18
So, each gap sends out waves that spread out and overlap.
6:21
Now, let's just look at the light from these two gaps.
6:24
When the peaks of one wave line up with the troughs
6:27
of the other, we say that the two waves are out of phase and
6:30
they cancel each other out.
6:32
So, you get dark spots.
6:33
And, when the peaks line up with the peaks, the two waves are in phase.
6:37
They add up and you get bright
6:39
>> You get interference, right?
6:41
And, you get a diffraction pattern.
6:43
>> Now, diffraction is inevitable.
6:45
So, instead of fighting it, designers
6:47
actually use it to get the patterns they want.
6:50
They kind of work backwards
6:51
from the eventual pattern they want on the wafer
6:54
and they design the slits
6:56
so that diffraction will occur in such a way that it creates the pattern that they want.
7:01
>> You see three dots.
7:02
Uh the middle dot,
7:03
that's the original one.
7:04
That's the zero order.
7:05
And then, on the left and the right, you can see
7:08
the first and the minus first.
7:10
Now, in order for us to have this image
7:12
resolved on the wafer,
7:15
you need to capture the zero
7:17
and the first and the minus first order.
7:19
>> The smaller you make the features, the larger this angle alpha between the zero
7:23
and first orders becomes.
7:25
So, the larger your lens needs to be to capture the light.
7:28
The size of the lens is described
7:30
by the numerical aperture
7:32
or NA for short,
7:34
which is just the sine of this angle.
7:36
So, the larger that is, the smaller the features you can print.
7:40
But, there is a hard limit to how large your lens system can be
7:43
when this angle is 90°
7:45
and your numerical aperture is one,
7:47
well your lens would have to be infinite.
7:49
Fortunately, there is one other thing we can change.
7:53
>> This is a red laser.
7:55
>> And a red laser has a wavelength
7:57
of 650 nm, something like that I would say.
8:00
And if I take
8:01
a green laser, and this one has a wavelength
8:04
of uh 532, then you can see that the green
8:09
are closer spaced than the red dots.
8:13
>> That's because the light from the two different gaps doesn't have to travel as
8:16
far to match up in phase again.
8:19
So, the orders end up closer together.
8:21
So, with a smaller wavelength, you can print smaller patterns
8:24
using the same lens.
8:26
All of this is captured by the Rayleigh equation,
8:28
which determines the smallest feature size or critical
8:33
>> But since there's a limit
8:34
to how much you can increase
8:36
the numerical aperture, I mean to one,
8:38
over time the only way to keep making smaller and smaller features
8:42
is by using shorter and shorter wavelengths.
8:44
So, this is exactly
8:45
what happened up until the late 1990s,
8:48
when the industry settled on 193
8:50
nm deep UV light.
8:53
This was the light that was used to make all of the most advanced
8:56
chips right until around 2015.
8:58
But by that point, scientists had reached the limit to how small they could
9:02
make the features, and
9:03
Moore's law was about to run into a brick wall.
9:06
So, a radical change was needed,
9:08
a change that had been brewing for around 30 years.
9:14
All the way back in the 1980s,
9:15
Japanese scientist Hiroki Kinoshita came up with a crazy idea.
9:20
Why not use much shorter wavelengths,
9:22
like X-rays of around 10 nm?
9:24
In theory, that should allow you to print much smaller features.
9:28
But you quickly run into a problem.
9:30
X-rays at these wavelengths have enough energy to eject electrons
9:34
from their atoms, so most materials absorb them.
9:37
But, unlike medical x-rays,
9:39
which have wavelengths shorter
9:40
than 1 nanometer, these are still long enough to interact with air.
9:44
So, air absorbs them, too.
9:46
That meant that Kinoshita's
9:48
setup had to be in a vacuum.
9:50
But, even worse, he couldn't use lenses
9:52
to focus the light because the lenses would absorb it, too.
9:57
So, it seemed like this idea would never
10:01
>> But, around 1983, Kinoshita
10:03
stumbled on a paper by Jim Underwood and Troy Barbee.
10:06
Their work focused on special mirrors that could reflect
10:08
x-rays with a wavelength of 4.48 nanometers.
10:12
So, Kinoshita was intrigued.
10:14
Curved mirrors can focus light just like lenses do.
10:17
If he could figure out how to make these special mirrors for the wavelength
10:19
he was using, then this could be another way to do photolithography.
10:23
The mirrors work something like this.
10:27
When light crosses from one medium to another, say from air to glass,
10:31
it bends or refracts.
10:33
Some of it goes through and part reflects back.
10:35
How much gets reflected
10:36
depends on things like the angle,
10:38
the light's polarization, and most importantly
10:41
for us, the difference
10:42
between the refractive indices of the two media.
10:45
The larger that difference, the more light is reflected.
10:48
And Underwood and Barbee used that principle.
10:51
They made a super thin layer of tungsten,
10:53
less than 1 nanometer thick.
10:55
Thin enough that x-rays could pass through without immediately being absorbed.
10:59
When x-rays hit the layer at a specific angle,
11:02
the tungsten reflected less than 1%.
11:04
Then, they carefully tuned the layer thickness so the path length of the transmitted
11:09
x-rays was only 1/4 of its wavelength.
11:12
Then, they added another layer, this time out of carbon.
11:15
It has a higher refractive index than tungsten for wavelengths of 4.48 nanometers.
11:20
The x-rays hit the boundary and a little bit more reflects.
11:24
But, this time the phase is inverted,
11:26
or it's changed by half a wavelength.
11:28
This happens when any light moves from a lower refractive index to a higher one.
11:33
Now, by the time this new reflected wave reaches the tungsten boundary,
11:37
it has traveled another quarter of its wavelength
11:39
for a half wavelength in total.
11:41
So, the two phases line up and the waves interfere constructively.
11:45
Underwood and Barbee kept doing this trick for a total of 76
11:48
alternating layers so that in total
11:51
they could reflect back much more of the x-rays.
11:55
Now, they only managed to reflect around 6%
11:57
of the light, but it was a proof of principle
12:00
that you could reflect x-rays.
12:03
>> So, Kinoshita saw the possibilities.
12:05
He got to work and after around 2 years his team designed and built
12:09
three tungsten carbon curved multilayer
12:11
mirrors to reflect 11 nanometer light.
12:14
And with it he managed to print lines 4 microns
12:17
or 4,000 nanometers thick,
12:20
proving that at least in theory
12:22
x-ray lithography was >> A year later in 1986
12:27
he went to present his findings to the Japanese
12:29
Society of Applied Physics.
12:31
Proud and excited, he explained his setup and showed his image.
12:34
But to his horror, the audience
12:36
refused to believe it.
12:39
the audience was highly
12:42
skeptical of my talk. >> Kinoshita was devastated.
12:46
He later said, "People seemed unwilling
12:48
to believe that we had actually made an image by bending x-rays,
12:52
and they tended to regard the whole thing
12:54
as a big fish
12:57
>> Nobody believed that this was a viable way forward,
13:00
and unfortunately, the reaction
13:02
was at least somewhat
13:04
First, this light isn't naturally produced by anything on Earth.
13:08
The closest natural source is the sun.
13:12
>> We had to basically
13:13
build an artificial here on Earth.
13:17
>> Most scientists, including Kinoshita,
13:19
produced x-ray light using a particle accelerator or a synchrotron.
13:23
>> It gives an enormous amount of power.
13:25
It's as big as a soccer field.
13:26
You can fuel the whole fab.
13:28
The problem is if the light goes out, the whole fab goes
13:31
>> So, each machine needed its own power source.
13:35
But, even if you could produce the light, you'd need to make incredibly
13:38
smooth mirrors to actually focus
13:40
and print those tiny features.
13:42
You would need the smoothest
13:44
objects in the >> Okay, so I got a football
13:48
and I've got a bouncy ball and a cobblestone street.
13:50
Now, what do you think is going to happen when I drop them?
13:54
The football basically bounces straight up.
13:56
But, for the bouncy ball,
13:58
it just shoots up to the side.
13:59
And that's because the surface is relatively
14:01
flat for the football, which is much larger,
14:03
but it's super rough for the bouncy
14:06
And a similar thing happens with mirrors.
14:08
If the surface is super rough compared to the size of the wavelength,
14:12
then the light scatters randomly.
14:14
>> Now, it might look smooth, but if you zoom into a mirror, you find
14:17
something that looks like this.
14:19
You find all these crazy bumps.
14:22
And now to measure the roughness, what you do is you take the average
14:25
of these bumps, and that will give you your mean line.
14:28
Now, for a normal household
14:29
mirror, the average height is about 4,000 silicon atoms.
14:34
But, for Kinoshita's mirrors,
14:36
which not only needed to reflect X-ray light, which has a 100 times shorter
14:39
wavelength, but also needed to minimize scattering,
14:42
you know, so that all the photons make it onto the wafer,
14:44
it needed to be way more smooth.
14:47
It needed to be atomically smooth.
14:49
In fact, the average bump could only be about 2.3 silicon atoms thick.
14:54
>> If one mirror would be the size of Germany,
14:56
the biggest bump would be about a millimeter high.
14:59
>> But, Kinoshita refused to give up.
15:01
>> However, my belief did not change.
15:03
>> And soon, help would come
15:05
from an unlikely place.
15:08
>> Across the Pacific, around 70 km
15:10
east of San Francisco,
15:11
is Lawrence Livermore National Lab,
15:13
a lab that was born out of the Cold War,
15:15
heavily funded by the US government, and built for one purpose and one purpose only, nuclear weapons.
15:22
The lab was founded by the inventor
15:23
of the cyclotron, Ernest Lawrence,
15:25
and the father of the hydrogen bomb, Edward Teller.
15:28
And over its lifetime,
15:29
they designed over 10 fusion-type nuclear warheads.
15:33
So, part of their research focused on what happens
15:35
inside nuclear fusion reactions.
15:38
>> Fusion reactions release a lot of x-ray light,
15:40
light that they had never been able to capture and analyze.
15:44
But now, using those special multilayer
15:46
mirrors, there was a chance.
15:49
>> One of the scientists
15:50
tasked with making this work was Andrew Hawryluk.
15:53
And within a few years,
15:54
he and his team used multilayer
15:56
mirrors to reflect some x-ray
15:59
But then, in 1987,
16:00
Andy got a visit from a professor from Cornell.
16:03
>> He was very impressed with the technologies
16:05
that we developed, and he looked at me at the end of the day
16:08
and said, "This is all very interesting and very neat and stuff, but
16:11
and that his words, and I'll remember it till the day I die, was,
16:14
"Can you do anything useful with this stuff?"
16:17
And this was the day before
16:19
a Christmas shutdown in 1987.
16:22
And I was so inflamed
16:23
by that that comment
16:25
that I went home, and for the next 10 days, I wrote up a multi-page white paper.
16:31
>> He applied these mirrors to lithography
16:32
to print chips using x-rays.
16:34
Around 5 months later,
16:36
Andy presented his findings at a conference.
16:39
But like Inoshita, it was not the response
16:41
he was hoping for.
16:44
>> It was extremely negative.
16:46
That was the low point of my career.
16:49
I was literally laughed off the stage, and I kid you not.
16:53
Every um person who I looked up to
16:56
in the field, they were listening to my talk, and they came up to
16:59
the microphone and told me basically
17:02
why it wouldn't work,
17:04
how stupid an idea it
17:06
Later that week, I flew back, and
17:08
the following Monday, my boss asked me, "How did it go?"
17:12
And I looked at him, and I said, "I will never speak of it again."
17:18
>> But then, 3 days later, he gets a phone call from someone
17:22
named Bill Brinkman from Bell Labs.
17:24
>> So, I walked over to my boss and said,
17:26
um "Just got this phone call from a guy named Bill Brinkman.
17:29
Do you know who he is?"
17:30
And my boss's eyes popped open and said, "Yeah, and he's the executive vice president of AT&T."
17:35
And I said, "Well,
17:36
he just called me and asked me to fly out to New Jersey and give a talk."
17:41
The response from my boss said it all.
17:44
Um he basically said, "Well, you you got to go."
17:48
>> At Bell Labs, Andy found fellow believers,
17:50
and it couldn't have come at a better time.
17:53
Over the past 30 years, the US government had invested
17:55
billions of dollars into national labs to maintain
17:58
the country's technological edge during the Cold War.
18:02
But by the late 1980s,
18:03
the Cold War was slowing down,
18:05
and all these labs were sitting on research
18:07
that had commercial potential.
18:09
So, the government encouraged
18:11
the labs to partner with US companies
18:13
to turn that research into products
18:15
and to stimulate the economy.
18:17
And the government would then supply seed money.
18:20
And so, Bell Labs partnered with Andy's labs and two others to keep developing X-ray lithography.
18:27
>> And by 1993, the first international
18:29
conference for X-ray lithography
18:31
was held in Japan near Mount Fuji.
18:34
In the opening address,
18:35
Kinoshita said that as long as we do not lose the desire
18:39
that has sprung from within us, technology
18:41
will steadily advance from the micro
18:44
to the nano to the pico.
18:46
They even gave the technology a new name, extreme
18:49
ultraviolet lithography, or just EUV.
18:53
>> But then, in 1996,
18:55
the US government cut funding for the project.
18:58
This spelled disaster for the big chip companies like Intel.
19:01
The industry estimated that the 193
19:04
nanometer lithography tools would fall behind Moore's law by 2005.
19:09
But there were no other alternatives.
19:13
>> So, Intel, Motorola, AMD,
19:15
and other companies got together and invested
19:17
$250 million to keep it going,
19:19
making it the largest
19:20
investment ever by private industry
19:23
in a Department of Energy research project.
19:26
By the year 2000,
19:27
the labs had produced this, the engineering test stand.
19:30
It was the first fully functioning EUV prototype.
19:33
It produced 9.8 W of 13.4
19:36
nm EUV light, which was then reflected
19:39
by eight mirrors from the source to the mask to the wafer.
19:42
It could print 70 nm
19:44
features, and it proved
19:45
that EUV could work.
19:48
>> It was a milestone
19:48
to get the engineering test stand to work.
19:50
It demonstrated to people like Intel
19:52
that, you know, good engineering will get us
19:55
>> And then it seems like you've got the prototype.
19:58
Shouldn't be too hard
20:00
to then commercialize it.
20:02
>> That's what they thought.
20:05
>> But the prototype had a major flaw.
20:07
It could only print about 10 wafers per hour.
20:10
And to make EUV economically
20:11
viable, it would have to print hundreds
20:13
of wafers per hour,
20:15
24/7, 365 days a
20:18
The main reason output was so slow was because the light reflected off of
20:22
eight mirrors and the reticle,
20:23
which is also a mirror, just with the design imprinted.
20:27
Traditional masks that allow light to pass through don't work because, well, they absorb all the light.
20:33
Each mirror had a reflectivity
20:34
of around 70%, which is close to the max,
20:37
but after nine bounces,
20:39
you're only left with 4% of the light.
20:42
Which means that out of every 100 photons,
20:45
only four make it to the wafer.
20:48
So, you might think, just use way fewer mirrors.
20:51
But that only works up to a point.
20:53
When you focus light with any optical system, you always get some distortion.
20:58
For example, rays that pass through the outer edges of most lenses focus light
21:01
slightly different from those near the center.
21:03
This is called spherical aberration.
21:05
And normal cameras correct for this and other aberrations
21:08
by using multiple lenses,
21:10
and a mirror system is no different.
21:12
>> You need to have a certain
21:14
amount of mirrors before you can say I have
21:18
my aberrations under control.
21:20
In reality, the systems of today have six mirrors.
21:24
>> That helps a little,
21:25
but after reflecting off six mirrors
21:28
and the reticle, you're still only left with around 8% of your light.
21:32
So, they needed to drastically
21:33
increase the source power to at least 100 watts.
21:36
Now, to most companies,
21:38
that tenfold increase seemed impossible.
21:40
Even people who worked on the engineering test that noted that while EUV technology
21:45
itself is a done deal, there were six
21:48
zillion engineering challenges to make it a fab line reality.
21:52
And so, one by one, American companies walked away
21:56
from developing a full UV lithography machine.
21:59
That left just one company, ASML.
22:03
>> ASML, which used to stand for advanced semiconductor
22:05
materials lithography, is located
22:07
in a small, nondescript
22:09
town in the Netherlands.
22:10
It spun off from Philips back in the '80s with little more than a
22:13
shed and a barely working wafer stepper to its name.
22:16
But, Philips also gave them people.
22:18
Jos Benschop, ASML's first researcher,
22:21
and Martin van den Brink, who would eventually
22:23
become ASML's CTO and EUV's greatest champion.
22:27
>> And he's really like the Steve Jobs of lithography,
22:30
and he saw EUV coming.
22:31
>> ASML had joined the US EUV consortium
22:34
earlier, and now it became their task to find a way to commercialize EUV.
22:39
They would work together with their German partners Zeiss, where Zeiss would take care
22:43
of the mirrors and ASML
22:44
would focus on the light source.
22:47
One of the first decisions when making any lithography
22:49
system is deciding which wavelength to use.
22:52
>> In the early days, anything between 5 and 40 nanometers was was explored.
22:57
The The thing is, you need to find a source,
23:00
and you need to find optics that reflect the wavelength.
23:03
So you have to look for the combination.
23:05
>> Underwood and Barbie had already made mirrors that could reflect light of around 4 nanometers.
23:09
And since that wavelength is so small,
23:11
it seems like the obvious choice.
23:14
But the maximum reflectivity
23:15
for those mirrors was only around 20%.
23:18
So after hitting six mirrors
23:20
and the reco, you're just left with a
23:25
of the light, which is way too
23:28
Fortunately, further researchers also looked at two other pairs.
23:32
Silicon and molybdenum, which had a theoretical
23:35
maximum reflectivity of 70%
23:37
for wavelengths around 30 nanometers,
23:40
and molybdenum and beryllium
23:42
with a theoretical maximum reflectivity
23:44
of 80% for wavelengths around 11 nanometers.
23:48
So the choice seemed obvious, right?
23:50
I mean, pick the shorter wavelength
23:52
and the higher reflectivity.
23:53
But it turns out
23:55
that beryllium is extremely
23:56
toxic and it's also difficult to handle.
23:59
So scientists focused on silicon and molybdenum instead.
24:03
To make the mirrors,
24:04
Zeiss used a process called sputtering.
24:06
A target of coating material
24:08
is bombarded with either plasma
24:10
or ions, causing atoms to be ejected,
24:13
fly off, and stick to the mirror.
24:15
This is a messy process, so the layers end up having bumps and gaps.
24:20
>> There was a nice trick that actually
24:22
the team in the Netherlands perfected.
24:25
With ion beam, you just
24:27
shake it a little bit until the atoms falls in the hole where it
24:30
needs to be, and then it's all flat.
24:32
>> With the mirror design locked in, ASML
24:34
needed a source for that specific
24:37
>> So it was 13.x. >> Yeah, okay.
24:40
>> next good question is what's the x?
24:42
Now you look for the Now you look for the source.
24:45
So there are basically three ways to generate EUV.
24:48
To build an a sun on Earth.
24:51
>> The first method, which early researchers
24:53
used, was the synchrotron.
24:55
But it was quickly ruled out because each machine needed its own source.
24:59
The other two methods are based on the same principle.
25:02
When an electron recombines
25:03
with an ion, the ion drops to a lower energy level and it releases
25:08
that excess energy as a photon.
25:09
And if you choose the ion just right,
25:12
then that photon will have exactly
25:14
the wavelength you need.
25:16
Now, there are two ways you can create those ions.
25:19
The first is you take a metal, heat it up until you get a
25:21
metal vapor, and then you apply a strong electric field across it.
25:25
This causes free electrons
25:27
to knock into nearby atoms and ionize them.
25:30
If you then turn off the electric field, the electrons
25:33
recombine with the ions and produce light.
25:36
This is discharge produced plasma.
25:39
>> That's the concept we used first
25:41
because of its relative simplicity.
25:43
We quickly got to do a few watts.
25:46
We wanted to get 100 watts
25:47
and we struggled forever.
25:49
>> So, you couldn't scale it.
25:51
>> We could not scale it.
25:52
>> They needed a drastic change.
25:54
So, they switched to the second method.
25:56
This method uses a high-powered
25:57
laser to hit a target material,
26:00
creating a plasma that's more than 220,000° C hot.
26:04
The electrons have so much energy
26:06
that the nucleus can't hold onto them anymore
26:09
and up to 14
26:10
electrons escape their orbits.
26:12
After the laser shuts off, the electrons and ions recombine to produce light.
26:17
This is laser produced plasma
26:19
and it was the only method that seemed scalable.
26:23
In fact, this was the same method that the engineering test didn't use.
26:26
A 1,700 W laser
26:28
fired into a stream
26:29
of xenon gas to produce 13.4 nm light.
26:34
But xenon had a big problem.
26:36
The conversion efficiency, that is, the ratio of usable light to the amount of
26:40
power you put in, was terrible.
26:42
It was only around 0.5%.
26:45
That's because while xenon does emit light in the 13 to 14 nm range,
26:49
there's much more light released around 11 nm.
26:52
So, most of the energy went into making light that the mirrors couldn't reflect.
26:56
Plus, the laser didn't ionize all the atoms.
26:59
So, leftover neutral xenon atoms
27:01
would strongly reabsorb some of that 13.4 nanometer light.
27:06
So, ASML started looking at another material, tin.
27:10
Now, tin has a much higher emission peak around 13.5
27:13
nanometers, which results in a 5 to 10 times higher conversion efficiency than xenon.
27:18
But, just like xenon,
27:20
neutral tin atoms also absorb EUV light.
27:22
So, they came up with a crazy
27:24
idea, to shoot one tiny
27:27
tin droplet at a time.
27:28
But, to get the required power, you would have to make and hit thousands
27:32
of droplets every second.
27:34
All of which have to be the exact
27:36
same shape and size.
27:38
But, it turns out that you can't instantly make thousands of tin droplets that
27:42
are the exact same.
27:44
So, they found a workaround.
27:46
To make the droplets,
27:47
extremely pure tin is melted and pushed through a microscopic
27:51
nozzle by high-pressure nitrogen.
27:53
This nozzle vibrates at a high frequency,
27:55
breaking the stream into tiny droplets.
27:58
These droplets are irregular
27:59
in size, shape, velocity,
28:01
and distance, and the whole process is chaotic.
28:04
>> That's like our magic sauce is
28:07
how do you modulate
28:09
that tin jet so that it forms the droplets we want and that they're stable.
28:12
>> I think we found some paper
28:14
uh that described this process,
28:16
and it was sort of
28:17
eye-opening to me that it seems like all the droplets
28:20
actually come out irregular
28:22
out of the nozzle.
28:23
But, then before they reach the side where they get hit by the laser,
28:27
like the little irregular
28:28
droplets come together to form these
28:30
perfectly spaced, perfectly regular droplets that are about the same size
28:35
and shape, and all traveling at the same velocity.
28:38
That feels like magic to me, Jason.
28:40
>> Yeah, it's it's exactly that.
28:42
It's how do you take a long
28:43
stream of a tin jet
28:46
that wants to break up into all these irregular droplets
28:49
and like force onto it that it's going to collapse
28:52
into a single droplet
28:53
and then happen again and again and again.
28:56
>> You also don't have that many variables to play with.
28:58
You've got the pressure
28:59
with which you push out the tin and at the frequency of the nozzle.
29:03
Yeah, it seems like a hard problem to solve.
29:05
>> There's not a whole lot of variables to play with
29:07
and so mastering that modulation
29:11
of the jet is
29:12
is how we make the droplets.
29:15
>> But these droplets not only have to be identical,
29:17
they have to be moving incredibly fast.
29:21
>> What will happen is if
29:23
the next droplet that's coming down the line is too close,
29:26
then it'll actually get like disturbed
29:28
and mess up the next plasma event.
29:31
So, we have a requirement
29:33
which is both that we make 50,000
29:35
droplets per second, but also that they're traveling extremely fast.
29:39
>> By 2011, their laser produced plasma source reached 11
29:43
watts, which was more than double what they managed with their previous source.
29:47
But they were still limited to just five wafers per hour.
29:50
So, they needed to increase the power
29:53
and fast because they promised
29:55
they'd hit 60 wafers per hour by the end of
29:59
Unfortunately, this new method had a major flaw.
30:02
>> Now, the problem with the tin issue, you hit the droplet,
30:05
you generate EUV with a very decent conversion efficiency.
30:08
Where does the tin go?
30:10
Because like uh you know, 30 cm away, you have this
30:13
atomically flat, very beautiful,
30:16
very expensive mirror from a French inside.
30:19
And in the early days,
30:21
we would coat the thing within like this.
30:24
>> These machines need to run for a year.
30:26
You're putting liters of tin
30:29
through this plasma event.
30:31
And a single nanometer
30:33
of tin, if it was to land on that collector mirror,
30:35
you'd have to take a collector out of commission.
30:37
We need to keep it
30:38
almost perfectly clean for for a year.
30:41
>> Yeah, how do you even approach that?
30:43
>> So, our our main tool here is the hydrogen gas, actually.
30:47
>> They filled the chamber with low-pressure hydrogen.
30:50
This slows and cools the tin particles down,
30:52
and even if some tin makes it to the collector,
30:55
the hydrogen pulls it off to form a gas called stannane.
30:58
This way, the machine cleans the collectors while it's running.
31:02
But, that hydrogen gas also gets hot from all those tin explosions.
31:06
So, they need to keep flushing
31:07
new, cooler hydrogen into the system
31:10
while flushing out this stannane and hotter gas.
31:13
But, they had to get the pressure and the flow rate just right.
31:16
I mean, too little hydrogen
31:17
and the mirrors would get too dirty,
31:19
but too much hydrogen
31:20
would not only absorb too much EUV light,
31:23
but it would also cause the system to overheat.
31:25
>> But, the question is how much heat is there?
31:28
How much energy is being deposited into the gas?
31:31
And, we were stumped for quite some time.
31:33
If you look at a EV light source,
31:35
what you'll see is that it's
31:37
it's kind of like a
31:38
globe of like purplish red light.
31:41
Then, you kind of ask yourself, like, why is that happening?
31:43
So, we bought an ultrafast
31:46
What we realized is that after every plasma event, there's
31:49
a shockwave that goes propagating
31:52
out into the hydrogen gas.
31:54
And, it's extremely repeatable.
31:57
And, you you think to yourself, there must be like
31:58
an explanation for this.
32:00
And, there's this formula, the Taylor-von Neumann et al.
32:04
formula, that explains point source explosions
32:07
in an environment, and like say, a nuclear blast
32:09
out to like supernova.
32:11
So, I took this formula,
32:12
and it like exactly describes the data.
32:14
It's just fantastic that
32:16
we're seeing these like little tiny little supernovas
32:19
happening in our vessel
32:20
50,000 times a second.
32:22
>> And, is that a fair way to think about this, like creating mini supernova?
32:27
>> Yeah, it's actually pretty similar.
32:28
It's almost like very similar to a like a type 1a supernova, it turns
32:31
out, where you kind of have an object that just fully evaporates and explodes apart.
32:36
And, when all that energy goes into the hydrogen gas, it produces a a
32:40
shockwave, a blast wave that comes flying out, which is
32:43
basically the same thing you can look up in the night sky.
32:45
There are these like remnant supernovas
32:47
that you can see coming from space.
32:49
>> Using those energy calculations,
32:50
they discovered they needed to flush the hydrogen at incredibly
32:54
high speeds, around 360 km/h.
32:57
That's more than a category 5 hurricane,
32:59
even if, you know, those speeds are at low density.
33:02
But 2012 came and went, and they still didn't have enough power.
33:06
In fact, by 2013,
33:08
ASML just reached 50 W by shooting 50,000
33:11
tin droplets per second.
33:13
But this increased power came at a price, because
33:16
more power means more heat.
33:18
Heat that ends up slightly shifting
33:20
the mirrors, resulting in misaligned
33:22
light and misaligned chip
33:25
So Zeiss built a nervous system
33:27
directly into the optics.
33:28
Robot-guided sensors that constantly
33:31
measure the exact position
33:32
and angle of each mirror,
33:34
down to the nanometer
33:35
and the picoradian, which is absolutely insane.
33:39
>> So how accurate do we need to control this mirror?
33:42
Now, one of the things
33:43
you can do a thought experiment,
33:45
>> and I can place
33:47
a little laser on the side of this mirror,
33:51
then we go all the way to the moon,
33:53
and we put a dime here.
33:56
So, then this light travels all the way here,
33:59
and then with the accuracy
34:01
I can control this mirror,
34:03
>> I can decide whether I
34:05
point to this side of the dime,
34:07
or whether I point to this side of the That's crazy.
34:12
>> So you can see that the pointing
34:15
>> is that's also in in picoradians.
34:19
That is something very extreme.
34:21
>> This allowed them to control the light even when the power increased.
34:25
>> While Zeiss was doing a stellar job with the optics,
34:28
ASML was still struggling with the power source.
34:31
The problem was that the tin droplets
34:33
were too dense, meaning that most of the emitted EUV light
34:37
was still getting reabsorbed
34:38
by the neutral atoms
34:40
before it could ever reach the collector mirror.
34:42
>> The way we blasted
34:43
the droplet was so not enough light, too much debris.
34:47
>> To make matters worse, they could see that about 10 years from now they
34:51
would need a new generation
34:52
of machine, a high NA EUV machine.
34:55
Essentially, one with a larger
34:57
optic system that could print smaller features.
34:59
So, what did they do?
35:02
They decided to double down and invest in the next generation
35:06
before they even got the current one to work.
35:08
>> The most doubtful period was in the beginning.
35:11
So, I started to work on this in 2012.
35:14
By that time, EUV was not working
35:16
and there was this
35:17
crazy idiot working on the next generation
35:21
where we could not even
35:23
make the EUV light in the first place.
35:25
>> Not only are you all in on EUV,
35:27
you're doubling down even before you know if EUV is going to work.
35:31
>> But to keep funding the development,
35:33
they needed money and a lots of it.
35:35
So, they turned to the very people who needed this technology.
35:39
>> ASML reached out to its main customers,
35:42
you want this technology
35:44
for the next generation
35:45
of chips, well, you need to make us able to invest
35:49
more by investing in us.
35:52
>> Intel invested around $4.1
35:54
billion and Samsung and TSMC
35:56
invested another $1.3 billion combined.
36:00
So, they can keep the research going, but with
36:02
no product to show,
36:03
customers were running out of
36:06
>> We were crucified at every conference
36:09
that the promises we made last year we
36:11
we were unable to live up to.
36:14
>> And they said, this is what you showed 2 years ago, this is what
36:16
you showed last year, this is what you're telling me this year, so why
36:18
would I believe you?
36:20
>> They were getting desperate.
36:22
>> But this was, I think, about 2012 or or 13.
36:27
We were struggling to get the EUV power up.
36:29
And Kinoshita visited us.
36:31
I took him to dinner in a small town nearby.
36:33
And across from the restaurant was a Maria Chapel.
36:37
And now you know, science
36:39
we have come to the limits of science.
36:41
He said let's go for divine intervention.
36:43
So we went to the Chapel.
36:44
So Kinoshita, just to be safe, lit three
36:48
candles for the three suppliers
36:50
that were pursuing EUV technology at the time.
36:53
And low and behold
36:54
and I have the data to prove it.
36:56
There is a very strong correlation
36:58
between us lighting the candle power going up.
37:03
>> It's not a causal
37:04
effect, but there is a strong correlation.
37:07
>> The big idea was instead of hitting the droplet once, hit it twice.
37:11
>> One shot to hit the droplet
37:14
and it expands in like a pancake shape.
37:17
>> And then, only then have the second
37:19
shot, the more powerful
37:21
main pulse, where you evaporate
37:23
the pancake and turn it into a plasma. >> This major breakthrough.
37:27
>> By changing the target from a droplet
37:29
to a pancake, you got a larger
37:31
surface area for the laser to vaporize,
37:33
but without the cost of adding more debris or neutral atoms.
37:37
Because now the tin is vaporized all at once.
37:40
By 2014, they finally
37:42
managed to hit that coveted 100-W mark.
37:45
But improvements in multi-patterning
37:47
with 193 nm now meant that EUV
37:50
would only be useful if the source reached at least 200
37:53
W and made 125 wafers per hour.
37:56
>> The source went from 100 to 200,
37:58
but as the industry moved on, nobody waits for you.
38:01
You know, they find other solutions.
38:03
We had to catch up.
38:04
So it was a moving goal post.
38:06
>> One of the problems is how do you perfectly
38:08
time the laser so you hit each of these droplets?
38:12
>> So the the analogy is a bit like a golf
38:14
that you need to land
38:16
in the hole 200 m
38:18
Not like land on the green, not bounce and then get in the hole,
38:21
but like land in the hole every time.
38:23
That's the level of precision that we need to deliver the droplets.
38:26
Those droplets are traveling
38:27
through this like maelstrom of hydrogen flow.
38:30
The speeds are tremendously high.
38:32
It's like shooting golf balls through a tornado.
38:34
And then right when it lands at the hole, that's when it needs to
38:37
get hit by the laser.
38:38
So, in order to basically
38:39
track the droplets, for that we use laser curtains.
38:43
And we can sort of look at when does the droplet pass through a laser curtain?
38:46
Those scattered photons tell us
38:48
basically when and where is the droplet.
38:50
And then importantly tells us when to fire the laser.
38:52
So, we actually have to take into account how long will it take for
38:56
the light pulse to hit the droplet after we send the pulse.
38:59
>> Now, by 2015, they were getting closer
39:02
and closer to that coveted 200 W mark.
39:05
When all of a sudden,
39:06
the ASML board members got summoned.
39:09
>> This was one of these
39:10
decisive moments where our customers
39:13
were really thin on patience.
39:15
And Martin and all the board members were summoned
39:17
to Korea to show 200 W.
39:20
And they were really fed up with it.
39:22
You know, yeah, you either show it now or you you go away.
39:26
And when they entered the plane, the experiment was still running.
39:30
>> When they exited the plane,
39:32
they had the first result demonstrating 200 W.
39:35
This is how close we came.
39:36
>> With the source power up, there was one
39:39
final problem that had to be solved
39:41
before they could begin manufacturing their machine.
39:44
See, while the hydrogen gas did protect the collector mirror from debris, it wasn't perfect.
39:49
All the intense high-energy
39:51
photons and hydrogen ions zipping around
39:53
deteriorated a very special
39:55
top coating on the collector.
39:57
So, they still had to clean the mirrors
39:59
every 10 hours, which,
40:01
you know, is terrible for productivity.
40:03
Martin van den Brink asked for updates every day on their progress.
40:07
But then one of the engineers noticed that every time they opened up the
40:10
machine, the mirrors suddenly seemed cleaner.
40:14
>> That he kind of chimed in and said, "Oh, wait a second.
40:18
Whenever we opened up the machine,
40:20
oxygen comes in and our problem is solved.
40:22
Couldn't we think of a way to add just a little oxygen
40:26
to our system and make sure that the collector stays clean longer?"
40:31
And so they started experimenting
40:33
with the amount of oxygen
40:35
that was needed in the vacuum.
40:37
And then finally got to this point, "Okay, if we add so much oxygen,
40:40
we'll keep the collector clean for
40:43
>> With this fix, ASML's machine could run continuously
40:46
for much longer, and it finally became commercially viable.
40:50
By 2016, orders started pouring in, and now all of the most advanced
40:54
chips need ASML's machines,
40:56
making them perhaps the most important
40:59
tech company in the world.
41:01
ASML's first commercial machines
41:02
had a numerical aperture of 0.33
41:05
and could print 30 nanometer lines.
41:07
These are called the low NA machines,
41:10
and ASML still makes them.
41:11
But the machine that Young's team started working on back in 2012
41:15
was the next generation,
41:17
which had a larger
41:18
optic system so they could print even smaller features.
41:21
This is the high NA machine
41:23
with a numerical aperture of 0.55,
41:26
and we get to see their latest version up close.
41:30
How much is the machine?
41:31
>> Uh we always say
41:33
north of 350 million
41:35
>> And you can actually buy it, right?
41:37
>> You can, if you want.
41:38
>> If I had the money, I could buy it. >> Yes, you could.
41:42
>> How many people have seen this before?
41:43
>> We really limit >> the amount of people
41:46
>> to go inside the clean room.
41:47
>> ASML's machines are built in a super strict clean room.
41:50
In any cubic meter, there can be no more than 10 particles
41:53
only 0.1 microns large,
41:55
and nothing bigger than that.
41:57
A speck of pollen is around 20 microns,
41:59
and extremely fine sand is around 10 microns.
42:02
To put all of this in perspective,
42:04
hospital operating rooms, which have to be extremely
42:06
clean, only allow a maximum
42:08
of 10,000 particles per cubic meter that are 0.1 microns wide.
42:13
>> It's so unfair how much better Mark looks though.
42:17
>> It is light suit.
42:18
I feel like a little
42:21
>> Okay, so we're going to go through the air showers.
42:24
So you're going to have to do it as I do. Okay.
42:27
>> So this is brushing down all the particles
42:29
that are still on you.
42:30
>> this is like super clean air blowing us
42:34
>> This place is huge. >> It's huge. >> It's insane.
42:38
I've been in a clean room a couple times before,
42:40
but it's nothing compared to this.
42:42
>> Are there any secret areas here where almost no one has access to?
42:47
I can't tell you. >> Great answer.
42:49
>> Okay, so this is the total system. >> This is crazy.
42:55
Look how big it is.
42:57
This is the most advanced machine humanity's ever built.
43:01
It's taken many, many years,
43:03
decades of development, many billions of dollars
43:06
all to get this humongous beauty.
43:10
So this is the first high NA machine.
43:12
>> So if you saw pictures
43:14
on the internet or whatever, >> that's this machine.
43:17
So the very first lines ever printed at 8 nanometers and stuff,
43:21
that was this machine.
43:22
>> This is the smoothest object on Earth.
43:24
>> Yeah, it's all in here. Yeah.
43:26
>> Wait, so let me see if I can figure this
43:29
This is the light source.
43:31
It's where they make the extreme
43:35
>> And then the laser must come in from
43:37
>> Let's take a look at the laser.
43:39
>> In fact, we got to see just how the laser and light source work.
43:43
Think we're entering the laser system here.
43:45
Mark's just making sure I think that we can actually film here.
43:48
We're not catching anything we're not supposed to. Oh, wow. This looks dangerous.
43:53
Now, the laser system is covered by all of these brown cabinets,
43:56
but here is a model version.
43:58
A carbon dioxide laser of just a few watts enters this amplifier
44:02
where it bounces around until it's roughly five times its original power.
44:06
It then goes through a total of four different amplifiers
44:09
to bring the final laser up to 20,000
44:12
W, which is four times stronger
44:14
than lasers that cut through steel.
44:16
>> Over here, we have the the amplifiers
44:19
>> that generate this this powerful laser
44:21
>> And then it basically comes out and this is part of the beam transport
44:25
system >> where it's brought to the machine.
44:29
>> So, this pipe here has the big
44:30
laser >> And this this is a mirror?
44:34
>> Then the pulses travel to the light source module.
44:37
>> It kind of looks like a transformer
44:38
or like a I don't know, like a spaceship.
44:41
There's so many wires going everywhere. >> Don't touch this. >> Holy crap.
44:50
>> This is pretty big, huh? >> This is insane.
44:52
>> And this is just a light source.
44:53
>> This is just a light source.
44:54
Are you getting this comparison shot?
44:56
And so, you need all of this
44:58
just to make EUV
45:00
>> Just to make the light. >> That's incredible.
45:02
Can we do a little walk around?
45:03
>> You can do a little walk. >> Let's go.
45:07
>> So, basically this is the heart
45:09
of the >> Can I stand on here?
45:13
if you're below 137, you can.
45:15
>> I don't I think I am. Ooh.
45:21
And so, the tin droplets are coming in from the left.
45:25
>> Then we're shooting the laser from here? >> Okay, it explodes.
45:30
>> And then the light
45:31
>> the light goes out there.
45:34
>> One improvement from ASML's first EUV machine to their newest one is the number
45:39
of pulses that hit the droplet.
45:41
The first pre-pulse still flattens the droplet into a pancake,
45:44
but now there's also a second
45:46
pre-pulse that further reduces the density.
45:48
It basically turns it into a low-density gas. It vaporizes it.
45:53
And then the final pulse essentially
45:55
ionizes all of it.
45:57
So, for basically the same power coming from the drive laser,
46:00
they get even more EUV light.
46:02
Now, if they want even more light, then the only way to do that
46:05
is by hitting more droplets.
46:07
>> And that's exactly what they did.
46:09
Our most recent EUV light sources that we're shipping right now, which are around
46:13
the 500 W level,
46:15
we increased the rep rate up to 60,000 times per second.
46:18
And then we have a road map that's going to go to
46:20
100,000 droplets per second.
46:22
We've actually now already demonstrated
46:24
this 100,000 droplets per second in the lab, so it's not an if, but a when.
46:30
>> The three pulses that we use to make the pancake,
46:32
to blow up the pancake a little bit, and then to evaporate the pancake.
46:36
>> The first two pulses,
46:38
they would be coming in through this pipe here.
46:41
>> And then the main pulse,
46:43
with the big the laser beam would be delivered through this pipe here.
46:47
>> Both the high and low NA machines shipping out right now use three pulses,
46:51
and eventually they will hit more droplets per second.
46:55
But the light source is just one small part of the full machine.
46:58
After bouncing off the collector mirror, the EUV light moves to the illuminator.
47:02
A set of mirrors
47:03
shape and focus the light before it hits the reticle.
47:06
The reticle is the top half, and this module is built in a separate
47:09
facility and installed later.
47:11
Next, the light goes into the projection
47:13
optics box, which is a set of mirrors that shrink the light down.
47:17
The high NA machine can shrink the pattern eight times in the vertical direction
47:21
and four times in the horizontal direction.
47:23
The mirrors are also much smoother still.
47:26
If the low NA's mirrors were the size of Germany, the tallest bump would
47:29
be about a millimeter.
47:30
But if the high NA mirrors were the size of the world,
47:33
the tallest bump would be about the thickness
47:35
of a playing card.
47:36
By the combination of both of these improvements,
47:39
ASML was able to increase the numerical aperture from 0.33
47:43
to And finally, the light hits the wafer.
47:47
In order to print around 185
47:49
wafers per hour, the reticle whips back and forth at accelerations
47:53
of over 20 Gs.
47:55
That's over five times the acceleration
47:57
of a Formula 1 car.
47:58
And this is some actual footage of what that's like inside this machine.
48:02
And notice that this is not sped up.
48:06
But the crazy thing to me about this machine isn't how fast the reticle
48:09
moves, or even how small
48:11
it can print, but it's just how insanely
48:14
accurate it needs to be.
48:15
The most any two layers can be off, which is called the overlay, is >> 1 nanometer.
48:21
That's five freaking silicon atoms of precision.
48:24
That's >> So, typically what we do as system engineers
48:28
is that we make a budget.
48:30
>> So, we say, "Hey, you get,
48:31
let's say, a uh and we divide
48:35
then uh the nanometers
48:38
uh to to smaller >> The nanometers total.
48:41
It's not like you your group gets a nanometer.
48:43
>> you get No, no, you get a
48:45
a nanometer in total. Yes.
48:48
>> So, you have to
48:49
to fight for the
48:50
for your part of the nanometer.
48:52
>> It's kind of cool to realize that like every smartphone nowadays
48:55
has has a chip
48:57
that is made with the machine that that was actually put together here. Yeah.
49:00
So, that's a cool thought.
49:04
>> Take a look at this.
49:06
>> It's pretty massive, huh? >> So big.
49:08
So, do you cover it up? >> Yes.
49:11
At the customer fab, it will be
49:13
looking like a big white box.
49:17
I like it better like this. >> Yeah, me too. >> It's funny.
49:21
You need such a big machine,
49:23
so much infrastructure to make the tiniest
49:26
things >> we can make at scale.
49:29
>> It's uh inversely proportional. >> Yeah.
49:31
Smaller you want to go,
49:32
the larger everything around it becomes.
49:35
After the machines are assembled,
49:37
tested, and approved, they are disassembled
49:39
to ship all around the world.
49:41
5,000 companies supply 100,000
49:43
parts, 3,000 cables, 40,000
49:46
bolts, and 2 km of hosing.
49:48
ASML ships their highly advanced machine in 250
49:51
containers spread out over 25
49:53
trucks and seven Boeing 747s.
49:57
Despite all the doubt and setback,
49:59
EUV finally made it to manufacturing
50:01
level three decades after Kinoshita's first images.
50:04
But even when almost the entire
50:06
world didn't believe it would work,
50:08
there were some people
50:10
at ASML who knew that it was going to work all the way back in 2010.
50:14
>> Around 2001, we said, "Let's let's let's do EUV."
50:18
And then we run into many challenges.
50:21
2010, we installed the first system at a at a customer.
50:23
So, it was installed in >> There it was.
50:26
This thing I had been pursuing
50:28
for, you know, 13
50:29
years was now standing
50:31
at a customer producing wafers.
50:34
This for me was a moment
50:36
I realized, "Yes, we made the right bet."
50:39
>> Years later, Yas ran into the man who helped install that first machine.
50:43
>> He's now a professor
50:44
at a renowned institute,
50:45
and I shared the story about my relief
50:48
and how how how great he made the decision.
50:50
And uncle said, "Yeah, yeah, yeah."
50:51
He said, "When you left, when you flew out after Christmas, the thing broke down.
50:56
And it took two months to get back up again, and they almost fired
50:59
me for making the wrong decision.
51:01
That we had some ups and downs along the way.
51:04
But again, once I saw the system installed
51:07
at a customer in a customer fab,
51:09
I knew we had done the right thing. This was 2010.
51:12
The first phone that came out was 2019.
51:14
So, we still had some hurdles to resolve,
51:17
but we kept going."
51:22
>> Now, I have spent several months working on this video and thinking about it,
51:26
and it still feels absolutely impossible.
51:31
the more I think about it, the more I think,
51:33
you know, those people
51:34
40 years ago that said it was impossible,
51:36
they had a point.
51:38
It's completely unreasonable to think that you could make this artificial sun in a
51:42
lab, that you could make these mirrors that are this smooth,
51:45
and that you could get the required overlay accuracy.
51:49
>> The reasonable thing is to think that none of that is possible
51:52
and to point out all the problems
51:53
with each of them.
51:55
Which reminds me of this quote,
51:57
"The reasonable man adapts himself to the world.
52:00
The unreasonable one persists
52:02
in trying to adapt the world to himself.
52:05
Therefore, all progress depends
52:07
on the unreasonable man."
52:09
Imagine if Andy and Kinoshita
52:11
and all the others
52:12
had been reasonable, we would have none of this.
52:16
In fact, imagine what the world would be like if everyone
52:19
on it was reasonable.
52:21
It would probably be extremely boring.
52:23
Probably most of the technology,
52:24
most of the things you enjoy on a daily basis wouldn't be here.
52:28
In fact, you probably wouldn't be watching this video
52:31
because just about all the technology
52:32
we have nowadays would seem completely
52:35
unreasonable even just 200 years ago.
52:38
And so, I really think
52:40
that to a large extent we owe our lives
52:43
to those unreasonable people.
52:45
And maybe, at least to me, it's a reminder
52:47
that it's good to be a little unreasonable,
52:50
at least in some of the big parts of life.
52:57
Changing the world is difficult.
52:58
It took overcoming thousands of obstacles
53:00
and over 30 years to get EUV to work.
53:02
But big breakthroughs usually start in the same way.
53:05
That is, you learn, you explore some related ideas,
53:09
you try to apply them in some new ways, and then you build skills
53:12
to take on bigger and bigger challenges.
53:15
Bit by bit, you gain knowledge,
53:17
and that's where today's video sponsor, Brilliant, comes in.
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