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
0:18
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
2:13
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
7:44
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
8:53
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
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
17:20
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