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Dr. Eric Drexler - The Path to Atomically Precise Manufacturing

21:451,078 summary words · ~5 min readEnglishBy The Artificial Intelligence ChannelTranscribed Aug 6, 2026
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Summary

Atomically precise manufacturing is transitioning from passive molecular self-assembly to active molecular additive manufacturing, utilizing structural DNA/protein frameworks and light-driven stepper motors to manufacture nanoscale objects in massive parallel quantities.

Active molecular additive manufacturing bypasses the immense computational complexity of protein folding design, enabling predictable, high-throughput nanofabrication for advanced materials, energy systems, and nanomedicine.

Section summaries

0:00-2:00

Introduction & Shift to Active Manufacturing

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Dr. Eric Drexler introduces the lecture at the Oxford Martin School, outlining the historical shift in nanotechnology. He details the maturation of techniques required to reach the first stage of atomically precise manufacturing. The agenda transitions from current macroscale manufacturing to current nanoscale self-assembly, culminating in active molecular additive manufacturing systems.

  • Nanotechnology is evolving from passive self-assembly to active molecular manufacturing.
  • Recent chemical breakthroughs allow building the first functional generation of molecular machines.

Provides essential context for the technical progression discussed in the lecture.

2:00-5:00

Macroscopic Manufacturing as a Model for APM

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Drexler analyzes macroscale fabrication genealogy, tracing tools from historical blacksmithing to automated precision machinery. He explains how modern macro 3D printing simplifies fabrication by using X-Y-Z positioning heads to place material incrementally instead of using specialized cutting machinery like lathes. This structural concept—combining rigid frameworks, stepper motors, and localized material addition—serves as the mechanical foundation for molecular additive systems.

  • Additive manufacturing replaces specialized tooling with generalized X-Y-Z positioning stages.
  • Macroscale 3D printing principles directly inform the architecture needed for molecular-scale printers.

Offers an illustrative macro-level analogy that can be skipped if already familiar with 3D printer mechanics.

5:00-8:00

State of Atomically Precise Biomolecules (DNA & Proteins)

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The talk reviews present-day capability in constructing nanoscale objects using structural DNA and engineered proteins. DNA origami allows rule-based construction of million-atom, hundred-nanometer structures with predictable Watson-Crick pairing. Protein engineering has reached a threshold where 3D puzzle-piece proteins can be computationally designed to assemble into flat sheets and arrays. However, self-assembly is constrained by the difficulty of predicting complex folding dynamics.

  • Structural DNA nanotechnology acts like predictable engineering carpentry for million-atom objects.
  • Computational protein design can now generate predictable 3D self-assembling arrays.
  • Self-assembly remains bottlenecked by the computational overhead of predicting chain folding.

Establishes the state-of-the-art biological building blocks used to construct APM platforms.

8:00-11:00

Mechanism of Molecular Additive Manufacturing

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Drexler details the operating principles of 3D molecular printers. Rather than moving building blocks physically across space, a nanoscale tool moves along a frame to chemically activate targeted locations on a workpiece. Surrounding building blocks flowing in bulk solution react exclusively at the activated sites. Repeating chemical activation and washing cycles builds up complex 3D structures without requiring complex pre-folded chains.

  • Molecular tools activate specific workpiece locations rather than directly picking up loose blocks.
  • Fluid flow transports building blocks, eliminating mechanical transport complexity.
  • Positional activation provides vastly superior design freedom compared to self-assembly.

Explains the core technological breakthrough and mechanical operation of molecular 3D printing.

11:00-13:00

Parallel Scale and Output Dynamics

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This section explains how liquid-phase molecular manufacturing achieves massive throughput scaling. Because molecular machines are produced via solution assembly, production throughput scales by total material mass rather than single-device manufacturing time. One milligram yields approximately 10^12 operating nanomachines, while one gram yields 10^15 units operating simultaneously. Initial fabricated outputs match the 100 nm size of the machines, scaling up via parallel arrays.

  • Molecular manufacturing scales by material mass, yielding 10^12 to 10^15 active printers per run.
  • Liquid-phase parallel operation bypasses the slow speed of single-tip scanning probes.
  • Early output size is limited to ~100 nm, requiring arraying for macroscale output.

Crucial breakdown of how molecular additive manufacturing solves the volume and speed bottleneck.

13:00-15:00

Structural Kinematics & Thermal Noise Management

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Drexler addresses mechanical design requirements to combat thermal positional variance at the nanoscale. Soft biopolymers possess low elastic moduli, yielding Gaussian tip position uncertainty under thermal agitation. Because positional variance is inversely proportional to stiffness, the stage framework utilizes boxy, closed-loop U-shaped channels for X-Y-Z sliding. This rigid geometry constrains thermal fluctuations within acceptable chemical binding tolerances.

  • Thermal fluctuations create a Gaussian distribution of tip position uncertainty.
  • Positional variance is inversely proportional to the structural stiffness of the frame.
  • Closed box-frame structures compensate for the low elastic modulus of biopolymers.

Provides critical physics and mechanical engineering analysis regarding thermal noise containment.

15:00-18:00

Light-Driven Three-Phase Molecular Stepper Motors

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The mechanisms powering nanoscale X-Y-Z motion stages are presented. Emulating macroscopic three-phase stepper motors, molecular steppers use three distinct wavelengths of light to address azobenzene dye molecules. Light absorption triggers trans-to-cis double-bond flips, altering local potential energy profiles to advance the motor. Recent chemistry breakthroughs have reduced switching reset times from hours to nanoseconds and shifted excitation wavelengths to deep red light.

  • Three-phase molecular steppers are driven by multi-wavelength optical addressing channels.
  • Azobenzene trans-to-cis isomerization alters local potential energy to step molecular stages.
  • Recent advances achieved red-shifted excitation and nanosecond switching recovery speeds.

Essential explanation of the optical drive actuation system for molecular machinery.

18:00-21:00

Systems Engineering, Institutional Progress & Applications

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Drexler outlines the path to deployment, emphasizing that progress requires integrated systems engineering across siloed disciplines. He references the US Department of Energy Advanced Manufacturing Office workshop on integrated nanosystems as a key institutional landmark. Primary initial applications focus on high-performance energy materials (fuel cell membranes, electro-catalysts) and nanomedicine delivery systems.

  • APM execution depends on cross-disciplinary systems engineering rather than isolated biology research.
  • US Department of Energy programs indicate formal institutional movement toward APM roadmaps.
  • Early high-value applications focus on fuel cell electro-catalytic membranes and targeted nanomedicine.

Connects theoretical hardware architectures to real-world institutional execution and target applications.

Key points

  • Transition to Active Molecular Additive Manufacturing — Rather than relying on spontaneous self-assembly of complex folded biopolymers, active molecular additive manufacturing uses mobile nanoscale tools to chemically activate precise 3D sites on a workpiece, letting building blocks bind sequentially.
  • Massive Throughput via Bulk Solution Parallelism — Molecular 3D printers operate in fluid suspension where trillions of identical machines run concurrently per milligram of material, removing the throughput limits of single-tip macroscopic scanning probes.
  • Thermal Fluctuation Mitigation via Rigid Box Architectures — Thermal position variance of molecular tips is inversely proportional to mechanical stiffness; soft biopolymers achieve atomic precision by using closed, boxy U-shaped frame geometries.
  • Light-Driven Three-Phase Molecular Stepper Motors — Molecular steppers are powered by multi-wavelength light channels that induce trans-to-cis conformational flips in azobenzene dyes, altering local potential energy to step mechanical stages.
the large transition ahead is from molecular self-assembly to molecular active manufacturing Dr. Eric Drexler
if you follow design rules making a new object is about as about as much of a research project as carpentry Dr. Eric Drexler

AI-generated from the transcript. May contain errors.

0:02

thank you in for that wonderful

0:04

introduction and for the opportunity to

0:07

speak to you all this evening and for

0:09

the opportunity to be at the Oxford

0:12

Martin School and to have an Oxford

0:13

Martin School in existence to be at

0:16

great thanks

0:18

so this afternoon I would like to

0:23

outline to the prospects for a turning

0:25

point in the development of

0:27

nanotechnology the early days of the

0:32

concept the focus was on a long term

0:34

objective flexible programmable

0:37

atomically precise fabrication of

0:39

intricate objects including components

0:42

for machines that could do a better job

0:43

of assembly of intricate atomically

0:47

precise structures during that time we

0:51

have seen this little maturation of the

0:53

development of ways of making molecular

0:57

structures that are adequate to get us

1:00

to the first rung of the ladder and in

1:02

the last few years is that if

1:04

technologies has reached a threshold

1:05

that will enable us to take a crucial

1:08

step and I would like to describe that

1:10

step to you today as presentations topic

1:14

was first introduced last August and has

1:18

been developing some momentum as a

1:21

research goal since then so the large

1:24

transition ahead is from molecular

1:26

self-assembly to molecular active

1:28

manufacturing and I'll be talking

1:31

hitting several topics here one is where

1:34

macroscale fabrication is today the way

1:37

we make things in the macroscopic world

1:38

by systemic engineering atomically

1:41

precise fabrication today which is very

1:43

different very contrasting then how to

1:47

build on that to develop a first

1:49

generation of atomically precise

1:52

molecular additive manufacturing systems

1:55

than just a few words about early

1:56

applications which I will turn over to

1:59

Sonia very promptly because she is the

2:01

one who is working in the area where the

2:04

greatest applications are likely to

2:06

emerge the first macroscale fabrication

2:09

if you look around you you'll see many

2:12

artifacts

2:13

see people and we're not artifacts but

2:17

virtually everything else you see was

2:19

made by machines or with the aid of

2:21

machines and those machines were made by

2:25

machines or with the aid of machines and

2:28

tracing back the genealogy of machines

2:31

you'll find earlier and and less

2:32

automated and simpler machines if you go

2:35

back far enough down the family tree of

2:38

industrial technologies you'll find

2:40

someone doing this kind of work

2:43

shaping materials in a direct way to

2:47

make components and tools that could

2:50

make better tools more mechanized more

2:55

precise that we used to make better and

2:57

more complex tools to make better and

2:59

more complex products and ultimately a

3:02

very intricate technology base making

3:05

complex objects has required complex

3:08

machinery now we'd like to be able to

3:11

make complex objects in the molecular

3:13

world to start climbing a ladder of

3:15

technologies like the one from

3:16

blacksmiths forward but it'd be very

3:20

nice to not have to build very complex

3:22

systems to make complex objects and in

3:25

fact in recent macroscale industrial

3:27

progress we've we've seen a way of doing

3:29

that you have relatively simple machines

3:32

do X Y Z motion of something with

3:36

respect to a platform on which one is

3:38

building something and to something that

3:41

has moved takes some action that results

3:44

in a little bit of material being added

3:46

sometimes it's using laser to Center a

3:49

bit of powdered metal other times it's a

3:52

nozzle that's putting down little bits

3:54

of melted plastic the most common form

3:56

of 3d printer or additive manufacturing

3:58

system and the reason this is so

4:02

attractive is that rather than having

4:03

lathes which cut cylindrically symmetric

4:05

objects or various other other

4:08

mechanisms for casting with special

4:09

tools and and so on where many different

4:12

machines are needed to make different

4:13

shapes instead additive manufacturing by

4:16

adding small amounts of material at a

4:17

time with XYZ control bit of material

4:19

here a bit more there can make a

4:22

tremendous range of shapes including

4:25

today aerospace quality materials

4:27

that are used this is a component that

4:29

Airbus is putting in aircraft that may

4:30

fly in and was made by a 3d

4:33

manufacturing technology and additive

4:35

manufacturing technology well the

4:39

essence of such systems again is some

4:43

structural framework you know the moving

4:45

in XYZ requires a structure to hold

4:47

parts together hold a tool with respect

4:49

to work piece and stepper motors to

4:51

increment on accent increment on winding

4:53

for motto NZ to put the the tool where

4:55

it needs to be to add the next bit of

4:57

material so we have structural framework

5:00

stepper motors and then some way of

5:03

getting in the typical case materials to

5:06

the location and then placing those bits

5:08

of material not all 3d printers work

5:11

that way and what I will describe and

5:13

the molecular world avoids that that bit

5:15

of complexity no topically precise

5:18

fabrication today back up and ask how do

5:20

we make complex things from from

5:21

molecules today well the complex

5:26

structures that are readily accessible

5:28

today using chemistry but also biology

5:33

because they're their biomolecules first

5:36

and foremost one is DNA which forms

5:40

rod-like objects these these guys the

5:42

helix the double helixes can be thought

5:44

of as a funny kind of twisted rod that

5:47

can be used as a structural member the

5:50

other class of biopolymers that we can

5:52

use to make structural objects and

5:53

functional objects or proteins my first

5:57

paper in this area and the Proceedings

5:59

of the US National Academy of Sciences

6:01

was on the prospect of protein

6:03

engineering people thought it would be

6:05

impossible because it was too complex to

6:07

predict how a chain of amino acids would

6:09

fold into a 3-dimensional object I've

6:11

pointed out that they were trying to

6:13

predict how natural proteins will would

6:15

fold it's a very different task to

6:16

design one that would fold the way you

6:17

planned and said aha and that's the root

6:20

of the citation tree in this area where

6:23

people have gone off and done brilliant

6:24

work that is now coming to fruition and

6:26

the direction that I had been looking

6:31

for as a way of implementing the kind of

6:33

system that I'm finally in a position

6:36

diplomat after all these years so it's

6:39

rather an exciting time

6:41

the nice thing about proteins is that

6:42

they're highly functional materials they

6:47

can be as solid as as would they have

6:52

shapes that can be tailored in great

6:53

detail they can serve as components for

6:55

motors and they can serve as components

6:57

for for enzymes that serve as enzymes

7:00

that transform other molecules and so on

7:02

so DNA is simple soft proteins are a

7:06

very good engineering material the great

7:10

advantage of DNA is in fact that it's

7:12

simple there is a field of technology

7:16

known as structural DNA nanotechnology

7:18

which can now make hundred nanometers

7:20

scale objects on a scale of in terms of

7:23

material content millions of atoms and

7:25

if you follow design rules making a new

7:29

object is about as about as much of a

7:32

research project as carpentry there are

7:34

ways of holding the Gila C's together in

7:36

a systematic way that all is based on

7:38

watson-crick base pairing and so these

7:40

objects can be designed and made in a

7:42

matter of days

7:44

proteins have recently reached a

7:46

threshold where engineering self

7:48

assembling protein objects as of 2014

7:52

this report reached through the point of

7:56

being able to systematically design

7:57

complex objects here we have extended

8:02

arrays flat sheets think of those as as

8:05

plates that could be used for structural

8:07

purposes worked on in 2015 and the way

8:19

this works is that you have to

8:20

synthesize molecular chains using

8:22

chemistry or biology first designing

8:26

molecules that will self assemble in

8:27

solution they have to have complementary

8:29

surfaces DNA that's very simple

8:31

watson-crick base pairing proteins it's

8:34

a matter of designing pieces that will

8:35

fold in a predictable way to make what

8:37

amount to 3d puzzle pieces that will

8:40

then fit together with other pieces to

8:42

make a larger object that's difficult

8:44

requires computational search that's

8:46

been a long long process to get to the

8:49

threshold that was indicated by the

8:51

previous two slides

8:53

this is very different from macroscale

8:54

fabrication you don't put the pieces

8:56

where you want them to be you do a very

8:59

complex process that enables

9:00

self-assembly starting with with

9:03

one-dimensional chains so we'd like to

9:06

be able to do is additive manufacturing

9:08

we put the pieces where you want them to

9:10

be and see that would be a fundamentally

9:13

different way of manufacturing

9:14

atomically precise structures on the

9:16

nano scale enable faster more systematic

9:19

design wider range of materials be a

9:22

technology platform for a fundamentally

9:25

new way of making intricate nano scale

9:26

objects with atomic precision that is a

9:32

very large prospect and now finally

9:34

there is a clear picture of how to get

9:35

there 3d printers require structural

9:39

frameworks and steppers it's still

9:41

necessary as for the tip functionality

9:45

want to simplify systems now you can

9:48

substitute bulk fluid flow and diffusion

9:50

to transport materials and instead of

9:52

putting pieces where you want them to be

9:54

you can take a workpiece and activate a

9:56

location so that the building blocks

9:59

that are washed and bind there so

10:01

three-dimensional designation of where

10:03

the blocks go rather than moving the

10:05

block much simpler than what people had

10:07

thought just a few years ago unlike your

10:10

chains are made to do about my chemistry

10:12

start with a block attached to a surface

10:14

activate a site chemically wash in a

10:17

block that reacts there and then

10:20

continue by activating at the end

10:22

repeating and building a chain and those

10:25

are the kinds of chains that will then

10:26

fold up to make objects if you're very

10:28

clever design such things so the concept

10:31

of 3d additive manufacturing with

10:34

molecular building blocks is to have a

10:36

tool not a chemical on a solution that

10:38

washes through wood activates the end of

10:40

a chain but a tool that can move around

10:42

on a structure and activate a particular

10:44

location moving to a particular place

10:48

activating the site moving along two

10:51

additional ones where you'd like to have

10:53

the same next kind of blocked Washington

10:55

blocks of that kind and then iterate

10:59

additional cycles the different

11:01

additional layers different kinds of

11:02

blocks on on each cycle to maintain

11:06

intricate three-dimensional object this

11:07

is a stack of bricks there's no reason

11:09

why the object has to be that that

11:11

simple in structure so what's required

11:17

for that are as they are the machine and

11:21

the the building blocks and the tip for

11:24

for activating locations if you have

11:27

that you can avoid folding chains to

11:29

make puzzle pieces have greater design

11:32

freedom wider range of parts structures

11:34

and functions fast designing fabrication

11:37

for product development put the pieces

11:39

where you want them to be and a key

11:42

point here is that if the structure as

11:45

I'll be describing is based on

11:47

self-assembly of DNA and proteins for

11:49

example in some some auxiliary molecules

11:51

made by organic synthesis you don't talk

11:55

about how many devices you're making you

11:57

talk about how much material is being

11:59

self-assemble to make those devices and

12:02

in chemistry a milligram is considered

12:04

to be respectable but small amount of

12:06

material and a gram is considered to be

12:08

modest but a very substantial amount of

12:10

material machines of this sort would be

12:13

on a scale of a hundred nanometers or so

12:15

and a milligram of material being

12:19

macromolecules assembling to make those

12:22

machines provides ten to the twelfth at

12:24

a shot one gram 10 to the fifteenth so

12:28

rather than having some large machine

12:31

that's trying to do precise manipulation

12:34

on a surface and spent the pictures of

12:36

having a substantial volume fluid

12:38

flowing through carrying materials ten

12:40

to the twelfth to 10 to the fifteenth

12:41

machines working in parallel to to make

12:44

things to determine how those building

12:46

blocks are arranged that's scalable

12:50

quantities and eventually by building

12:51

arrays of machines there's a pathway to

12:53

scalable product size initial products

12:56

would be on the scale of the machines

12:57

however which is in 100 nanometers or so

13:00

so key components need building blocks

13:04

platforms to build on activation tools

13:07

those are questions of chemistry there

13:10

are many ways of solving those problems

13:12

none of them are obvious chemists do

13:17

he was very clever in indirect methods

13:19

to make structures what's needed here is

13:21

clearly within the envelope of what

13:22

chemists have done but one we're going

13:24

to need a bunch of chemists to actually

13:26

figure out what blocks they can

13:27

synthesize that meet other system

13:29

constraints what the functional groups

13:31

are that are activated by what kind of

13:33

catalytic mechanism and so on the part

13:37

that has been the sticking point the

13:39

hard part has been the machine and there

13:41

are the two parts again our structural

13:43

frameworks and steppers so we need a

13:45

system that can move in x y and z x and

13:50

y can be performed by strips of

13:53

self-assembled structure that are in a

13:55

framework something like this is the

13:57

axis by by moving the two u-shaped

14:01

pieces with respect to one another and

14:02

each one of one is carrying the X the X

14:05

slider and the other one the Y slider

14:07

and that provides the XYZ motion the

14:10

reason that this is a boxy configuration

14:13

is for a structural rigidity bio bio

14:16

polymers are relatively soft relatively

14:18

low modulus all else equal lower modulus

14:22

means larger thermal fluctuations

14:24

thermal fluctuations in a linear elastic

14:27

model give a a Gaussian probability

14:29

density distribution for the position of

14:31

the tip with and thermal fluctuations

14:34

are constrained by mechanical forces the

14:37

variance is inversely proportional to

14:39

the mechanical stiffness and if you have

14:43

soft materials you try to build a

14:45

structure that is as rigid as possible

14:47

with those materials and one that I just

14:49

outlined turns out to be a very very

14:51

attractive design in that respect and

14:54

then the next way of accommodating

14:56

thermal fluctuations is you have the

14:59

size of the blocks and the targets be

15:01

far enough that the probability of

15:02

hitting the wrong target is is very low

15:05

so numerically those constraints can be

15:07

met in a in a in a part of design space

15:10

that results in some very attractive

15:12

systems the other part which is more

15:15

interesting and a release of new ideas

15:17

here the structural mechanisms we were

15:20

waiting for the fabrication techniques

15:22

what's new is a way of making stepper

15:24

motors that seems very attractive

15:25

probably other ways of doing it but this

15:27

one

15:27

nice macroscopic world there what are

15:30

called three-phase motors stepper motors

15:33

in this case we're turning on one set of

15:39

windings produces a magnetic field that

15:42

produces a potential energy function

15:44

that aligns a moving part with respect

15:46

to that turning that off while turning

15:49

another went on shifts the location that

15:51

the moving part wants to sit you turn

15:54

that one off turn on another it keeps

15:56

shifting you do the you do the three in

15:57

reverse order moves the other direction

15:59

so each cycle moves a step because

16:03

molecular actuators are at a premium

16:05

there's a trick where you leave out one

16:07

of those steps that have it be kind of

16:09

an idle step and that gives three

16:10

distinct states which is enough to move

16:12

left and right in increments how to do

16:16

that well want to have three input

16:18

channels for control well a natural way

16:21

to do control is by flooding the volume

16:24

with light if you can have absorption at

16:26

three distinct wavelengths you have

16:28

three different addressing channels for

16:31

your actuators turns out there's some

16:33

dye molecules that absorb very nicely

16:35

with well separated Peaks

16:37

modest amount of overlap and by putting

16:40

in light at three different wavelengths

16:42

can activate different sets of molecules

16:44

that are activating different phases of

16:46

a stepper motor what does that

16:48

activation look like well there are

16:51

molecules of a family called azo

16:53

benzenes which when they absorb a photon

16:55

and they flip around a double bond from

16:57

a trans configuration on the left to us

16:59

this configuration on the right that's

17:01

enough to have changed the way they

17:03

affect their environment and if that

17:04

changes changes the potential by ke T

17:07

which is easy that's good enough now

17:10

there are two problems when I was first

17:13

thinking about this a few years ago one

17:14

is that the light these absorb light

17:17

only at very short wavelengths the

17:19

violet range

17:20

you couldn't channel multiple

17:22

wavelengths of energy in there because

17:23

you can only run the energy downhill the

17:26

longer wavelength absorption well in

17:32

2013 developed with some clever people

17:36

who are trying to get systems

17:38

we work in the body we're red light

17:39

travels more easily figured out how to

17:41

make molecules of this kind that's which

17:43

with red light the other problem was

17:45

that the reverse switching what took

17:47

minutes two hours that time has now been

17:49

reduced to the microsecond or nanosecond

17:51

range very recent developments 2013 2012

17:56

so we have the structures due to recent

18:00

advances in protein engineering and

18:01

structural DNA nanotechnology we now

18:04

have components that are suitable for

18:05

motors so those are the key components

18:09

the key challenge is coordinated

18:11

cross-disciplinary development almost

18:16

all of this work in fact actually each

18:19

of those technologies has been driven

18:21

primarily by an interest in biological

18:24

applications biomedical applications

18:27

researchers who are developing molecules

18:30

for introduction into biology do not

18:34

work together to build complex systems

18:35

built from those molecules requires a

18:38

systems engineering approach where

18:39

there's a top-level function we

18:40

decompose the function into into

18:42

component elements such as framework

18:44

versus a motor versus a control system

18:46

chemistry for building blocks those need

18:49

to be put together and last August there

18:53

was a meeting in Berkeley meeting on

18:56

integrated nano systems for atomically

18:58

precise manufacturing which is exactly

19:00

the direction that I've been pointing

19:02

for some time person who the this was

19:05

held by the advanced manufacturing

19:06

office of the US Department of Energy

19:08

the program manager is someone who I

19:10

first first propagandized when he was a

19:13

doctoral student at MIT back in the

19:15

1980s so another element that has come

19:18

together is an organization that has a

19:21

reputation for doing systems engineering

19:24

I guess it grew out of the Manhattan

19:27

Project in part and they also do

19:30

renewable energy and many more more

19:31

peaceful developments and they're now

19:38

very seriously looking at developing

19:40

this placid system there are however

19:42

moving at government speed the the

19:44

workshop was in August

19:46

apparently the final work

19:50

draft well they've assembled the

19:52

material for a comment by the workshop

19:54

participants I'm expecting to see it any

19:56

day now and sometime after that there

19:58

will be a report from the workshop I can

20:00

report that there is also some

20:01

preliminary interest around the Oxford

20:04

community and in addition we're instead

20:07

having a center of coordination for a

20:11

systems development effort in this area

20:13

in the in the Oxford mill you will see

20:16

where that goes very very preliminary

20:18

thinking there so early applications

20:21

well discussed a lot of them at the at

20:24

the workshop for do eight many of them

20:26

involving materials processing and

20:28

strong materials and filtration

20:30

membranes and electro catalytic

20:32

membranes for fuel cells energy related

20:34

applications but the most attractive

20:37

applications I think are in diagnostic

20:41

and therapeutic property products in

20:43

medicine our bodies are full of

20:46

atomically precise structures nanoscale

20:49

structures these structures interact

20:51

with one another which is how biology

20:53

basically works and to be able to make

20:58

structures of that kind more rapidly

21:01

with more design flexibility more

21:03

control and straightforward control of

21:05

three-dimensional structure can be very

21:07

important to give some sense of the

21:09

complexity of structures that people are

21:11

investigating today with more

21:13

conventional means of assembly here are

21:14

some some nanoparticles one class of

21:18

applications of nanoparticles with

21:20

tailored molecular components for nano

21:22

medicine but at this point I would like

21:26

to turn the presentation over to a

21:31

researcher in nano medicine who can tell

21:33

us what kinds of things are being built

21:36

today that we could perhaps by providing

21:39

better tools unable to move forward even

21:41

more rapidly thank you

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