Replacing the function of failed biological tissue - and -
53
Replacing the function of failed biological tissue - and - A technology push in the direction of bio-medicine at the molecular scale J.N. Randall , Jim Von Ehr, Josh Ballard, James Owen, Udi Fuchs, Rahul Saini, and Sergiy Pryadkin Zyvex Labs Richardson, Texas [email protected]
Replacing the function of failed biological tissue - and -
Replacing the function of failed biological tissue - and - A technology push in the direction of bio-medicine at the molecular scale J.N . Randall , Jim Von Ehr, Josh Ballard, James Owen, Udi Fuchs, Rahul Saini, and Sergiy Pryadkin Zyvex Labs Richardson, Texas j [email protected]. - PowerPoint PPT Presentation
Citation preview
Slide 1- and -
A technology push in the direction of bio-medicine at the molecular
scale
J.N. Randall, Jim Von Ehr, Josh Ballard, James Owen, Udi Fuchs,
Rahul Saini, and Sergiy Pryadkin
Zyvex Labs
Richardson, Texas
Zyvex Technologies – Columbus Ohio
Carbon Nanotube / Polymer Composites
ZyCraft – a Global Company
Independent Unmanned Surface Vehicles
Zyvex Labs – Richardson Texas
2
Most of you have probably never heard of Zyvex and even those of
you who have known Zyvex for years, the situation is fluid and
often confusing. Let me summarize.
Jim Von Ehr founded Zyvex Corp in 1997 with the express intent of
developing atom by atom manufacturing, even if he did not know how
he would do it.
On April fools day 2007 we split to become Zyvex Instruments, Zyvex
Performance Materials (now Zyvex Technologies), and Zyvex Labs.
Zyvex Technologies is the worlds leading producer of CNT enhanced
composites that they are now using to build large structures such
as boats which is why Jim Von Ehr is not here. He has founded
Zycraft and is working hard to see that our boats are used
profitably. Zyvex Instruments was acquired in 2010 by DCG systems
and has a dominance in the Niche Market of nanoprobing ICs. Their
business is booming and they forced Zyvex Labs to move across the
parking lot to a new Building. I am here to talk about Zyvex Labs
efforts to develop atomically precise manufacturing.
History of Commercializing Nanotech
Zyvex Technologies has developed the world’s leading CNT enhanced
composites:
Zyvex Instruments has developed the world’s leading nanoprobing
technology:
Zyvex Labs is developing Atomically Precise Manufacturing:
3nm
3nm
3nm
4
5
4-8 hour surgery
Limited spatial resolution at retina surface
Surface electrode excites nerve bundles
Nano Retina advantages
Normal optics of the eye are used (no camera)
Power is delivered by IR laser through the pupil.
Tiny package is implanted in 30 minutes, with local anesthetic, on
an outpatient basis.
External image received by Bio Retina thru the eye’s optics.
Bio Retina converts the image to neuron stimulation.
Bio Retina stimulates the retinal neurons connected to the
brain.
Ordinary looking eyeglasses hold the laser power source.
Invisible infrared laser powers the Bio Retina wirelessly.
Bio Retina implant
Operation Principles
Integrated structure
Battery included
Eye safe
Outcomes
Resolution is a key performance parameter
Argus II resolution is 20/1260 only with black and white pixels
(6x10)
Bio Retina I targets 576 pixels possibly providing 20/260
functional vision
Bio Retina II aims for 20/20 gray scale vision enabling facial
recognition
Ambulatory
Vision -
Bio Retina
Strong IP position
16
Founders
Jim R. Von Ehr, Zyvex labs CEO
Efi Cohen-Arazi, Rainbow Medical CEO
Ra’anan Gefen
Leonid Yanovitch Lab engineer
The Company
John Randall Executive VP
1910 to 2010
How did we go from horse carriages, manually operated telephone
exchanges, and life expectancy of 50 to space tourism, gps cell
phones, and life expectancy of 80 in only 100 years?
I want to start with a historical perspective: “How did we go from
horse carriages, manually operated telephone exchanges, and life
expectancy of 50 to space tourism, GPS cell phones, and life
expectancy of 80 in only 100 years?”
The principle answer ladies and gentlemen is Manufacturing
precision.
But wait a minute John (you are thinking) can this last century of
progress really be attributable to improvement in manufacturing
precision? Can it really make such a difference? After all how much
has manufacturing precision changed in the last hundred
years?
18
Machining
Accuracy
0.1mm
0.01mm
1mm
0.1mm
0.01mm
1nm
Atomic
Distance
x
x
x
x
o
x
Manufacturing Precision improved 100,000-fold in past 100
years
I’m glad you asked! In fact manufacturing precision and accuracy
has improved by the incredible factor of 100,000 over the past 100
years. I point to a subset of the data compiled and accurately
predicted by Norio Taniguchi. The man who first used the term
nanotechnology.
I submit to you ladies and gentlemen that the progress we have made
in the past 100 years could not have been made without every bit of
this improvement in manufacturing precision.
And note that much of the steady progress over the last century
impacted things beside electronics. However in the last 5 decades
the most visible and arguably the largest impact has been in
electronics which has driven information technology. I am speaking
of course about.
19
1961 Fairchild
Integrated Circuit
Moores law. The beginning of which was really about 1960 shortly
after Jack Kilby invented the integrated circuit and in 1965 Gordon
Moore noted the trend of doubling the number of devices every 18-24
months and predicted that this might go on for another 10
years!
20
In fact we know as we improved manufacturing precision which
allowed downscaling which allowed Moore’s Law to continue and turn
into the exponential technical, and economic Juggernaut that it has
become. Pictured here are a small subset of the many amazing
products that have changed our lives. Early in this process no one
expected video games, digital audio and video, or GPS cell phones.
Jack Kilby when asked what IC’s would be good for suggested that
they might be good for controlling washing machines.
21
Technology nodes in ICs
What Makes all of this possible of course is the improvement in
manufacturing precision that makes downscaling possible. I want to
make several points here.
The relative precision for making IC’s is roughly +/- 5% suggestion
that the current precision is a very few nm.
This means Precision is already approaching the atomic scale.
You might think I am heading fro a prediction of the end of Moore’s
law. I am not about to do that. Clever engineers have always foiled
such predictions.
I do have a prediction to make but it will not be the end of an
expoential trend, it will be the start of a new one.
You might also think that all we have to do is wait for the IC
industry to develop Atomically Precise Manufacturing. - But they
are not going to do it.
Why?
They will fight tooth and nail not to need AP!
The initial markets that AP will first serve will be much too small
to interest them
22
Machining
Accuracy
0.1mm
0.01mm
1mm
0.1mm
0.01mm
1nm
Atomic
Distance
x
x
x
x
o
x
Manufacturing Precision improved 100,000-fold in past 100
years
I’m glad you asked! In fact manufacturing precision and accuracy
has improved by the incredible factor of 100,000 over the past 100
years. I point to a subset of the data compiled and accurately
predicted by Norio Taniguchi. The man who first used the term
nanotechnology.
I submit to you ladies and gentlemen that the progress we have made
in the past 100 years could not have been made without every bit of
this improvement in manufacturing precision.
And note that much of the steady progress over the last century
impacted things beside electronics. However in the last 5 decades
the most visible and arguably the largest impact has been in
electronics which has driven information technology. I am speaking
of course about.
23
Everything is exactly the same size
First I need to clean up some of the language that I use. I often
say Atomic Precision Manufacturing and while we are striving for
Atomic precision currently our real goal is absolute precision.
Atomic precision would be manufacturing with a tollerance of +/-
one atomic distance in size.
Absolute precision means making things that are exactly the same
size. If we can make things where we in Richard Feynman’s words put
atoms where we want them, We can achieve absolute precision
manufacturing.
This ability is key to my prediction.
24
Atom-by-Atom Manipulation
Richard Feynman – “I am not afraid to consider the final question
as to whether, ultimately – in the great future – we can arrange
the atoms the way we want” - 1959
“STM” – Nobel Prize in Physics 1986
Don Eigler spells out IBM in atoms 1989
Since I am talking about absolute precision, I better justify that
this is possible. After Feynman drew a line in the sand about 30
years later Don Eigler put atoms where he wanted them.
25
Our Goal: Reliable Versatile Atom-by-Atom Manufacturing
And I want to be able to make any structure that is physically and
chemically possible with a reliable versatile process that puts
every atom where we want them.
26
Universities:
Bob Wallace, Yves Chabal,
KJ Cho, JF Veyan,
Joe Lyding
S. V. Sreenivasan
R.Saini, J. Owen, Udi Fuchs
S. Manning
Atomically Precise Manufacturing Consortium
27
We had a fantastic team of collaborators working on this project
including five Universities, 5 Companies, and A national Lab. As a
group we are the atomically precise manufacturing consortium. We
are committed to brining Atom by Atom manufacturing tools to
market.
Over here are our international collaborators. Included in this
group are world leading scientist and engineers in their
discipline. Right here we are reserving a spot for you to join
us.
Making AXA Manufacturing a Reality
This is one of our 2 UHV STM systems designed and built by Zyvex
Labs.
28
Developing a system from the ground up for complete freedom – not
force-fitting off-the-shelf systems
Vibration Isolation
UHV STM System
2 Lyding Scanners
Field Ion Microscope
Closed loop heating
Two Systems Fully Operational
These are strictly home built systems based on a Joe Lyding STM
scanner design. We did not buy a commercial STM because they are
designed to be imaging and analytical tools. We are making a very
different lithography manufacturing tool. We are not limited by
anyone else’s software are hardware.
29
Dimer rows switch direction with each atomic layer.
This surface has been highly studied, making studies easier to
understand.
12 nm
30
All of the work I will show you today occurs on the technologically
relevant Si(100) which I show you below in its hydrogen passivated
state. Notice the dimer rows alternating direction with each
terrace.
Details: Crystal Silicon Surface – Pixels formed from 2
dimers
Fourier analysis allows us to identify the pixels on the Si
surface.
We can associate a design grid with the Si lattice, and use the
lattice as a global fiducial grid.
Identifying Pixels on Si Surface
Each surface atom has 1 unfilled bond:
When bare, the atom is reactive
With H there, the atom is “passive”
Two atoms form one surface dimer.
We define one pixel as two adjacent dimers
Depiction of Surface of “Si (100) 2x1”
31
Hersam and Lyding UIUC
3nm
32
32
Using, creep and drift correction and alignment to the lattice,
more accurate litho is possible.
Theory
Experiment
Atomic precision pattern placement over small area. Have currently
extended to roughly 40x40nm area.
Using creep and drift correction along with our ability to register
to the Si lattice, we can write fiducial marks and then place
geometries with atomic precision.
Currently we can do this over small scan fields, with modest
yields. A major part of this program will be improving our hardware
and software to improve the yield and extend the size and speed
with which we can perform atomically and later absolutely precise
patterning.
33
Automated Vector Compiler
In this way we can expose a wide range of patterns including ,
point six pointed stars, our company logo, a portrait of Josh
Ballard’s wife, Hello Kitty!, or even some useful patterns.
34
#1 DR saturated
#1 DR unsaturated
Optimize Step Distances
Put longest vector in master vector list
Find vector with nearest start or end point to end of previous
vector
Remove vector from search list
Perform Litho
Step in scan mode
We are also developing software similar to the pattern fracturing
tools available to conventional e-beam lithography but specialized
for H depassivation lithography so that we can quickly program tip
motions and adjust exposure conditions to make arbitrary patterns.
We even have a mode where we can input bitmap binary images and
produce them with our lithography tool. Here we show how we can
make the important Hello Kitty pattern.
35
Litho
Dose
Litho
Dose
Litho
Dose
Litho
Dose
Litho
Patterned Epitaxy
Owen et al. J. Vac. Sci. Technol. B 29 06F201
(2011) DOI: 10.1116/1.3628673
Atom-by-Atom Manufacturing
2 nm epitaxial growth, automated, overnight process with system
cycling through:
Imaging
Litho
Depo
37
And we have gotten this basic process to work on these 2 nm tall
20nm on a side boxes. While there are several aspects of this work
to address, one is that this took 60 cycles of patterning. We want
to speed up the manufacturing process so that we can have a pattern
once, or pattern few approach
New Device Regime!
Simmons has shown high-precision 2D placement of dopants in silicon
leads to remarkable devices
Insulating, semiconducting, and metallic regions created in single
crystal silicon
A new device regime with:
NO Metal Oxide Semiconductor interface
Michelle Simmons is an english woman working in Austrailia that has
done brilliant work using this same sort of lithography to put P
atoms where she wants them to make a so called single atom
transitor and has shown that this is one of the more promissing
ways to make quantum computers.
38
H
H
H
H
H
H
H
H
H
H
H
H
H
H
AFM of Patterns after ALD
And here is a survey AFM image of our surface after ALD. You can
clearly see all six patterns. Some extra features you will see are
some Si-C islands which are an artifact of our initial sample prep
in UHV as well as some background deposition. I won’t say anything
else about the Si-C, but I will address the background
contamination.
40
a
b
c
d
e
Lines written with FE mode litho can easily be controlled down to
10 nm, but edges matter
HDL -49.5 -48.928125 -48.35625 -47.784375 -47.2125 -46.640625
-46.06875 -45.496875 -44.925 -44.353125 -43.78125 -43.209375
-42.6375 -42.065625 -41.49375 -40.921875 -40.35 -39.778125
-39.20625 -38.634375 -38.0625 -37.490625 -36.91875 -36.346875
-35.775 -35.203125 -34.63125 -34.059375 -33.4875 -32.915625
-32.34375 -31.771875 -31.2 -30.628125 -30.05625 -29.484375 -28.9125
-28.340625 -27.76875 -27.19687500000001 -26.625 -26.053125
-25.48124999999997 -24.90937499999999 -24.3375 -23.765625 -23.19375
-22.621875 -22.05 -21.47812499999998 -20.90624999999998 -20.334375
-19.76249999999989 -19.190625 -18.61874999999998 -18.046875 -17.475
-16.903125 -16.33124999999999 -15.759375 -15.1875 -14.615625
-14.04375 -13.471875 -12.9 -12.328125 -11.75625 -11.184375 -10.6125
-10.040625 -9.46875 -8.896875000000001 -8.325000000000002
-7.753124999999991 -7.18125 -6.609375 -6.037500000000001
-5.465624999999996 -4.893750000000004 -4.321874999999987 -3.7 5
-3.178124999999995 -2.606250000000003 -2.034374999999997
-1.462500000000006 -0.890625 -0.318749999999994 0.253124999999997
0.825000000000003 1.396874999999994 1.96875 2.540625
3.112499999999997 3.684375000000003 4.256250000000001
4.828124999999986 5.399999999999999 5.971875000000006
6.543749999999996 7.115625000000001 7.687499999999996 8.259375
8.831250000000001 9.403125000000001 9.975000000000004 10.546875
11.11875 11.690625 12.2625 12.834375 13.40625 13.978125 14.55
15.121875 15.69375 16.265625 16.83750000000001 17.40937499999999
17.98124999999997 18.55312499999999 19.125 19.696875
20.26874999999989 20.840625 21.41249999999998 21.984375
22.55624999999998 23.12812499999999 23.7 24.271875 24.84375
25.41562500000001 25.98749999999998 26.55937500000001
27.13125000000001 27.703125 28.27500000000001 28.846875
29.41874999999997 29.99062500000001 30.5625 31.13437500000001
31.70624999999998 32.278125 32.85 33.421875 33.99375000000001
34.565625 35.1375 35.709375 36.28125 36.853125 37.425 37.996875
38.56875000000001 39.140625 39.7125 40.284375 40.85625 41.428125
42.0 42.571875 43.14375000000001 -0.10822888 -0.112441168999999
-0.104453373999999 -0.10310386 -0.134228471999999
-0.125343238999999 -0.110896576 -0.111341192 -0.090973527
-0.0600204949999998 -0.0737420459999996 -0.0772366829999998
-0.055074888 -0.0413458770000004 -0.0516582080000001
-0.0590999310000004 -0.0507533100000002 -0.0546067729999997
-0.0311894600000002 -0.00436292699999985 0.0134929560000003
0.0187895559999998 0.0366450660000002 0.0240003660000001
0.0221204460000006 0.0132434190000001 -0.0211106269999997
-0.0253229159999995 -0.00639092799999919 0.0118237810000004
0.0104821000000008 0.0139845699999999 0.0174870400000007
0.0258336610000001 0.0296949570000002 0.00323545599999964
0.0257557039999998 1.38550000006177E-5 -0.00150723900000038
0.0524106570000003 0.0627308210000006 0.10947257 0.191199854000001
0.338054803 0.454409169 0.650603439 0.777722585 0.854785131000001
0.862055274 0.836672251 0.738805257 0.645244548000001
0.552401118000001 0.40483635 0.248839171 0.146128026
0.0775057239999999 0.0221603569999997 0.00197993799999985
0.022347603 -0.00572698800000016 0.036887889 0.0220902330000001
-0.024284856999999 6 -0.000508344999999189 0.0324182300000002
0.0154676179999997 -0.0249868429999998 -0.0245343939999998
-0.0142138569999997 0.0151244579999998 0.00534999299999939
-0.0523277429999993 -0.0497223379999996 0.00796323100000063
-0.021008052 -0.037600211 -0.025664957 -0.0406423989999993
-0.0279894929999998 -0.0461963689999996 -0.0299552030000001
-0.02806745 -0.0286914789999999 -0.0345188580000002
-0.0195335829999994 0.000833709000000127 0.0204837219999998
-0.0126144329999995 -0.0378184159999995 0.00389976900000022
0.00829930400000034 0.00301053699999976 0.00328357300000004
0.0371072129999996 0.0262562700000002 0.0288616749999999
0.0248287990000007 0.0439405729999995 0.039548871
0.0378483640000002 0.0221532699999996 0.0536445410000006
0.0652209690000003 0.0762587850000003 0.04926067 20000008
0.0642459470000007 0.108296128 0.118975118 0.109739265
0.0938647579999996 0.121050117 0.137291283000001 0.207356722
0.293389918 0.390547093 0.458279790000001 0.612670458 0.774596099
0.882697467 0.959221774 1.008475305 1.003186165 0.974573708
0.917613251000001 0.879132706000001 0.911162216 0.944447617
0.979168321999999 0.930820062000001 0.870271345000001 0.793754871
0.695529051 0.524999419 0.349266437 0.235072860000001 0.162503472
0.13317299 0.0916424240000006 0.0996302190000007 0.110309209
0.0768522279999999 0.0525456829999999 0.0269828739999998
0.00249654300000035 0.00546114700000011 -0.0193840099999996
-0.0235962990000003 -0.00251135500000021 -0.0327385290000004 -0.03
9462973 -0.0237600459999996 -0.0159516639999993 0.0137454770000005
0.0518750289999996 0.0482009790000006 0.0303529290000002
0.0119670130000005 0.027310741 0.0527019700000002
0.0468749640000006 -0.00524096899999993 -0.0397744279999994 ALD
-49.0 -48.20718805000001 -47.4143761 -46.62156415 -45.8287522
-45.03594025 -44.2431283 -43.45031635 -42.6575044 -41.86469245
-41.07188049999989 -40.27906892 -39.4862566 -38.69344502
-37.9006327 -37.10782112 -36.3150088 -35.52219722 -34.7293849
-33.93657332 -33.143761 -32.35094941999994 -31.5581371 -30.765
32552 -29.97251319999998 -29.17970162 -28.3868893 -27.59407772
-26.8012654 -26.00845382 -25.2156415 -24.42282992 -23.6300176
-22.83720602 -22.0443937 -21.25158212000001 -20.4587698
-19.66595822 -18.8731459 -18.08033432 -17.287522 -16.49471042
-15.7018981 -14.90908652 -14.1162742 -13.32346262 -12.5306503
-11.73783872 -10.9450264 -10.15221482 -9.35940250000001
-8.566590920000002 -7.7737786 -6.980967020000001 -6.188154699999985
-5.39534312 -4.602530799999985 -3.809719220000005
-3.016906899999995 -2.224095320000004 -1.431283 -0.638471420000002
0.154340900000001 0.947152480000007 1.739964800000003 2.53277638
3.325588699999997 4.118400279 999985 4.91121259999999 9
5.704024180000005 6.496836500000001 7.28964808000001
8.082460400000002 8.87527198 9.6680843 10.46089588 11.2537082
12.04651978 12.8393321 13.63214368 14.424956 15.21776758
16.01057989999999 16.80339148000001 17.59620379999999 18.38901538
19.1818277 19.9746392799999 20.7674516 21.56026318000001
22.35307550000001 23.14588707999999 23.93869939999998
24.73151097999999 25.52431959999998 26.31713340000001
27.10994719999999 27.90276099999998 28.69556740000001 29.4883812
30.28119499999999 31.0740088 31.8668152 32.659629 33.4524428
34.2452566 35.03806300000001 35.8308768 36.6236906 37.4165044
38.2093108 39.0021246 39.794938400 00001 40.5877522 41.38055 86
42.17337240000001 42.96618620000001 43.759 44.55180639999999
45.34462019999997 0.0698213275 0.0606601975 0.0541982210000001
0.0478440225000001 0.042445681 0.038719819 0.0356070335000001
0.0317427920000001 0.0278440965 0.0273749655 0.0200690960000001
0.00998328549999999 -0.00148827499999993 -0.017737269
-0.0361077829999999 -0.0501933395 -0.055161788 -0.0561972824999999
-0.0560058765 -0.0524308484999999 -0.0474049805 -0.0331253384999999
0.000402405500000036 0.0570999010000001 0.1362631755 0.2346157755
0.346864067 0.4654956635 0.580448295 0.68267467 0.76598872
0.823934345 0.861753935 0.87767373 0.87966392 0.869212605
0.84784388 0.81365829 0.76743059 0.7217082 0.674663333 0.6244377615
0.568516792 0.5089769565 0.4380539725 0.359988212 0.280155028
0.204975434 0.1383797045 0.0870661985000001 0.056983337 0.038851126
0.0294051755 0.029643858 0.037537527 0.047944314 0.0619550400000001
0.074863468 0.0790171185 0.078245572 0.0733257340000001
0.0636091425 0.0527158135 0.0443666065 0.0337127075 0.018586493
0.000836127999999992 -0.0141735339999999 -0.0231218335 -0.028586392
-0.0244616525 -0.0140602244999999 0.00133185850000006 0.027160778
0.0683505925000001 0.127083473 0.20644656 0.30411031 0.4055167465
0.5075766475 0.6034354495 0.692678175 0.77050247 0.83881661
0.898769445 0.947682625 0.9 8039035 0.997930955 1.00328294
0.99810265 0.987270685 0.969743765 0.94237825 0.908080995
0.86873984 0.825276165 0.779815515 0.73068648 0.6760741645
0.609606867 0.5298380025 0.440222194 0.342605157 0.247526308
0.161015074 0.0930921525 0.0457360955 0.013485392
-0.00391239449999997 -0.009979507 -0.00662419799999997
0.00834488050000004 0.0226149545 0.0322526905 0.033546958
0.0333802425 0.0333082755 0.0335770075 0.0329888285000001
0.0343119955 RIE -68.0 -67.117021266 -66.23404253199995
-65.351063798 -64.46808514699983 -63.58510641300001 -62.702127679
-61.819148945 -60.93617021100001 -60.053191477 -59.17021266000001
-58.28723376 -57.40425569 -56.52127679 -55.63829789000001
-54.75531899 -53.87234009 -52.98936202 -52.10638312
-51.22340422000001 -50.34042532 -49.45744641999988 -48.57446835
-47.69148945 -46.80851055 -45.92553165000001 -45.04255358
-44.15957468 -43.27659578 -42.39361688 -41.51063798 -40.62765991
-39.74468100999997 -38.86170211 -37.97872321 -37.09574431
-36.21276624 -35.32978734 -34.44680844000001 -33.56382954
-32.68085146999999 -31.79787257 -30.91489367 -30.03191477
-29.14893587 -28.26595779999999 -27.3829789 -26.5
-25.61702110000001 -24.73404219999999 -23.85106413000002
-22.96808523 -22.08510632999998 -21.20212742999999 -20.31914853
-19.43617046 -18.55319156000001 -17.67021266 -16.78723375999999
-15.90425569 -15.02127678999999 -14.13829789 -13.25531899
-12.37234009 -11.48936202 -10.60638312 -9.72340422
-8.840425320000001 -7.957446420000004 -7.074468350000004
-6.191489449999985 -5.308510549999978 -4.425531649999988
-3.542553580000003 -2.659574679999991 -1.776595779999994
-0.89361688000001 -0.0106379799999985 0.872340090000009
1.755318990000006 2.63829788999999 3.521276790000002
4.404255689999998 5.287233760000007 6.170212659999986
7.053191559999988 7.93617046 8.819148530000006 9.70212742999999
10.58510633 11.46808523 12.35106413 13.2340422 14.1170211 15.0
15.8829789 16.76595779999999 17.64893670000001 18.53191560000001
19.41489450000001 20.2978734 21.18085229999999 22.0638312
22.94681009999999 23.829789 24.7127679 25.59574679999998
26.47872569999998 27.36170459999999 28.2446835 29.12766239999999
30.0106413 30.8936202 31.77659909999998 32.65957800000001
33.5425569 34.42553580000001 35.3085147 36.19148530000001
37.07446419999997 37.95744309999994 38.840422 39.7234009 40.6063798
41.4893587 42.37233760000001 43.2553165 44.13829540000001
45.0212743 45.90425320000001 46.7872321 47.67021100000001
48.55318990000001 49.43616880000001 0.041591815 0.036882781
0.038364272 0.044713538 0.043284957 0.03540129 0.041433085
0.042808767 0.055507288 0.048523102 0.047729441 0.05751789
0.058152821 0.055031098 0.0587348309999999 0.060745433
0.0703751519999999 0.0 686291 0.0593697619999999 0.048893472
0.042173836 0.048099811 0.0354542 0.040004504 0.039634134
0.0466712299999999 0.053602517 0.04698869 0.036776961 0.043866978
0.037041511 0.029210754 0.022120737 0.02450172 0.027200152
0.017252973 0.00270256899999999 0.00402534099999996 0.010797887
0.016141852 0.0219620069999999 0.043602417 0.080904352 0.103338423
0.161592927 0.227466548 0.293604719 0.363287893 0.432283237
0.506887107 0.583501557 0.637946508 0.66001022 0.66672979
0.65286726 0.604824507 0.514188753 0.43524623 0.355933337
0.279107225 0.218207199 0.155772761 0.120798899 0.091486462
0.060427973 0.055824759 0.031380086 0.019475215 0.010586247
0.00349622999999999 0.00508355199999999 -0.00433452700000003
-0.011159983 -0.013593876 -0.015022457 0.00153853799999998
-0.011424544 -0.014969547 -0.014334616 -0.021583363 -0.02946703
-0.030736892 -0.030842712 -0.047509527 -0.031001442 -0.014493357
-0.012853125 -0.002323925 0.021485817 0.0593697619999999
0.092809223 0.130534438 0.183974077 0.259847798 0.336250608
0.433288538 0.549585906 0.66699434 0.78032877 0.87943019 0.94022444
0.98080685 0.99842599 0.98244706 0.94710274 0.89244616 0.7910167
0.67434894 0.551490688 0.422653518 0.325509768 0.250958819 0.18
3286247 0.130746078 0.103020952 0.09011 078 0.048470192 0.015030731
0.0128613989999999 0.014872001 0.00344332000000003 -0.010525063
-0.010630883 -0.010525063 -0.008249911 -0.020525152 -0.02925539
-0.031636362 -0.032535843 -0.038620559 -0.02904375 -0.024969636
-0.042800493 -0.041424811
x (nm)
ALD 1.0 2.0 3.0 4.0 5.0 6.0 18.0 25.0 32.0 42.0 43.0 46.0 ALD' 1.0
2.0 3.0 4.0 5.0 6.0 8.0 15.0 22.0 32.0 33.0 36.0 HDL 1.0 2.0 3.0
4.0 5.0 6.0 6.0 11.1 17.3 22.2 27.0 30.8 RIE 1.0 2.0 3.0 4.0 5.0
6.0 10.6 16.6 23.9 25.1 29.8
Line Number
Linewidth (nm)
From Master to Daughter
44
44
S.V. Sreenivasan the CTO of Molecular Imprints and a Prof at UT
Austin is on the team to explore the use of atomically precise
master templates for nano imprint lithography.
Case Study: Nano Mechanics
An oscillator with a near terahertz frequency
Excellent control over frequency
Extremely high Q
Myriad applications such as ultra low power radios and extremely
sensitive sensors
MEMS Oscillators are orders of magnitude better than electronic
oscillators in terms of their quality factor and produce much
better filters.
BUT semiconductor processing has terrible relative precision making
the control of frequency poor.
45
45
Another example is a highly scaled NEMS oscillator its fabrication
would require some capabilities not discussed here namely a
sacrificial layer. Such a device would produce a very high Q
oscillator that would operate in the neighborhood of a quarter
terahertz and the atomic precision would give excellent control of
the frequency. There are multiple applications of such a device if
it could be produced including the front end of a very low power
radio, and extremely sensitive sensors.
Nano Bio Uses
Structures that interact in extremely precise ways with specific
molecules:
Ultra precise molecular filtering
Precisely designed binding sites for ultra effective drugs to
enhance or block protein action
Designed enzymes
46
46
We believe that opportunities in the nanobio area are plentiful.
When you can create structures and surfaces with atomic precision,
you can design in specific molecular interaction. I leave it as an
exercise to the astute audience members to work out the dramatic
impact of these sort of applications.
Case Study: DNA “Nanopore” for Ultra-High-Speed DNA
Sequencing
DNA readout mechanisms are extremely sensitive to distance
Currently far too much variation
Game Changer: AXA Manufactured “Nanopore” DNA Sequencers
Atomic precision will enable speeds needed for ultra low cost
True “personalized medicine” and tailored treatments – a medical
revolution
Optimized crops
47
One application that I want to spend a short while on is DNA
sequencing via nanopores. There are many competing technologies,
but many are pursuing a nanopore approach that could rapidly read
the bases as a strand of DNA moves through a pore of about 2nm. The
problem is that that 2nm pores can’t be made, the problem is that
they can’t be made precisely enough so that the DNA will move in a
controlled manner past electrodes that can read the bases. Our
technology may provide a solution.
Concept: Molecular Specific Filtering
pores in membrane
The ability to control a molecules ability to pass through the
filter
Can be based on shape of the pore as well as the size
And possibly the surface chemistry of the membrane and pores
Selective Depassivation
OH
OH
CH3
49
49
Cell’s interactions with different surface textures are well
documented.
We could make surfaces (via nanoimprint templates) with
unprecedented precision, designed for specific molecular
interaction with specific molecular structures on cell
surfaces.
We are looking for collaborators