SMolSTM: an open hardware scanning tunnelling microscope for creating single-molecule circuits - EMF
Watch on YouTubeVideo summary
The video introduces SMolSTM, an open-source scanning tunneling microscope designed to create circuits using single molecules, a feat that bridges the gap between macroscopic engineering and quantum physics. The presenter explains that while traditional electronics rely on subtractive manufacturing of materials like silicon transistors, nature utilizes a "bottom-up" approach where atoms self-assemble into stable structures. By leveraging organic molecules, researchers can access new physical phenomena where electrons behave as matter waves rather than simple particles. This allows for the creation of molecular switches and waveguides that exploit quantum interference effects, such as constructive or destructive interference within benzene rings, to control electrical flow at the atomic scale.
To achieve this level of precision, the standard commercial scanning tunneling microscopes are often too expensive and optimized for imaging rather than the specific mechanical manipulation required for break-junction experiments. Consequently, the presenter developed a homemade STM that balances ease of construction with research-grade performance. The device features a unique two-stage frame made from cast epoxy granite composite to dampen vibrations, which is critical because even minor disturbances like dropping a bolt can rupture atomic-scale junctions. At its core, the instrument utilizes a piezoelectric crystal coupled with a linear slide to provide both fine atomic-resolution positioning and longer-range motion, all while costing a fraction of commercial alternatives.
The utility of this custom-built equipment is demonstrated through rigorous benchmarks, such as measuring the conductance of a single gold atom, which confirms the device's ability to resolve quantum steps defined by fundamental constants like Planck's constant. Beyond simple verification, the system is used to study complex molecular binding events where thousands of measurements are analyzed using heat maps and machine learning clustering. This advanced data processing reveals distinct physical binding modes that would otherwise be lost in the noise, allowing researchers to optimize deposition methods for consistent device fabrication. Ultimately, this project proves that accessible, low-cost hardware can probe frontiers in quantum physics and molecular electronics, enabling individuals and smaller labs to contribute to cutting-edge research without relying on massive institutional budgets.
Read the full video transcript
[applause]
Hi everyone. Uh yeah, I'm Sam. Um I'm a
researcher from the physics department
at Lancaster University. Um and yeah,
today I'm going to talk to you about um
how I use homemade equipment to create
circuits with just uh single molecules.
So just to give a kind of a bit of a
background on on the kind of scale we're
talking about here, this is uh just a
cartoon image of like a grain of sand
you might find at the beach. Uh and it's
about uh on the order of 500 microns
across, so about half a millimeter. And
this is about the smallest thing you
you'll in your day-to-day life be able
to see with your eyes. Uh but there's of
course a lot going on below this length
scale that's really important and
affects our day-to-day lives. For
example, this is a red blood cell. So
these are responsible for carrying the
uh the sort of oxygen around our bodies.
Uh and they're too small to see with
your eyes, but you could see these with
a decent optical microscope. But on this
particular image, you might be able to
see just a single white pixel in the
middle of that blood cell. And this
represents the scale of the smallest
things that we as humans routinely
mass-produce,
which is a transistor of the type that
you might find in like a computer
processor. So there's right now as we
speak a few billion of these transistors
in this laptop generating this image for
you. So they're kind of making an image
of themselves right now. Um, but we make
these kind of the same way we humans
have always made everything, which is we
take a block of material and we take
stuff away to leave behind the shape
that we want.
But nature has a different way of making
these things. So, as we reach kind of
the length scales where we're being
limited by these processes, maybe we can
look for a different approach. And you
might be able to see even a smaller dot
now on the side of that transistor.
And this is a carbon 60 bucky ball. So
this is a stable structure that exists
in nature and it's kind of a football
shape of 60 carbon atoms. So it's a very
complex shape. Um but it uh it kind of
self assembles from the bottom up and
that's that's how nature makes things.
They form a low energy configuration
that's stable. Um and this is just 0.6
nanometers across. So 0.6 of a billionth
of a meter.
Um, and what's interesting to me about
these kinds of of small organic
molecules is that we're not just limited
to stuff we can find in nature. In fact,
if you work with chemists, they've
developed over the years an incredible
ability to make almost any kind of
molecule you can imagine. Uh, the degree
of customization is actually incredible.
Um, there's been estimates that there's
on the order of 10 to the 60 small
organic molecules that could feasibly be
made. So that's so many that even if we
used up all the atoms in the solar
system, we couldn't make one of all of
them. So we're never going to run out of
possibilities for molecules we can make.
But I was talking about transistors
earlier. So why are these interesting in
the context of electronic devices? Um
well the reason is not just because
they're small and we can pack more of
them on a chip, but because they
actually give us access to new physics.
So the molecules here are so small that
while in a normal circuit we might think
of electrons as as charged particles
flowing around. Uh we're at a length
scale now where we can no longer ignore
quantum physics and we have to start
thinking of these electrons as an actual
matter wave. Uh and then we can start
thinking of our molecules not as like
wires or switches but as waveguides and
that gives us some really powerful tools
to control the flow of charge in a
circuit.
So if we take this example here, this is
a benzene ring. Uh and there's two paths
that our electron wave could take
through the ring to get to the output.
And the wave actually takes both at
once. So in this case where the two
paths are the same, they're the same
length. The paths arrive in phase and we
get this large sine wave where the two
waves have added together.
But if we just move this situation by
one atom and instead inject the electron
up here, now the top path is short
relative to the bottom one, the two
waves no longer add up and they actually
cancel out. So now we have like a single
molecule switch that we can actually
turn on and off. So we're already seeing
kind of the the groundwork of a
technology on the scale of a single atom
uh and reaching kind of an idea of of a
of a molecule that could actually
compute.
So another cool thing about these
molecules is you don't just have to work
with one. The same way nature will
create a stable configuration of atoms
to make a molecule. They'll also form
stable configurations of the molecules
themselves to create large flat
structures. So you can self assemble
from solution large planer films just
one molecule thick. Uh and the density
that you can achieve is incredible. We
can have a trillion carbon 60 molecules
on the surface area of the head of a
pin.
uh but before we can kind of understand
these large thin films, we do have to
understand exactly why the
customizations that we make to the
single molecule produce certain effects.
So to do that, we need a way of actually
putting some probes on our molecules and
testing them. So we want to be able to
create single molecule circuits. And
clearly this kind of cartoon that I've
I've drawn here is isn't really
practical because we we saw earlier that
where you position those electrodes on
an atomic scale has a huge impact on
your measurement. So we need to be able
to precision uh position our electrodes
with subnanometer precision. This is
where the scanning tunneling microscope
comes in. So this was invented in the
80s and it won a Nobel prize because it
provided us for the first time with a
way of seeing the atomic scale in real
space.
Um, and I won't go into too much detail
about how this works, but it's
sufficient to understand that it uses a
very sharp metallic needle that it scans
across the surface and it measures small
electrical interactions at the quantum
scale between the tip and the surface.
And this is produced some really
fantastic, beautiful images over the
years. But what I think is actually
really exciting about it is not the
imaging, but the fact that you have this
local atomically sharp probe that you
can actually interact on the nanocale
with your samples with. And this brings
us to the break junction experiment. So
this is a way we can reliably form a
single molecule junction. And the way it
works is we take a gold surface and a
gold STM tip and we put some molecules
down on our surface and we then
deliberately crash our gold tip into the
surface to form a sort of a nanocale
metallic junction. And we can measure
the electrical conductance of that
junction as we pull back and stretch it.
And at the point where that junction
breaks, you would expect to see the
conductance of the junction just
disappear. But if a molecule happens to
bind between the two electrodes, then
we've formed a single molecule circuit
and we see a plateau corresponding to
the electrical conductance of that
single molecule as it gets stretched. So
this is a really powerful technique. The
problem is that you need an STM for it.
And an STM is typically on the order of
half a million to5 million pounds. And
even if you have one, they're not really
designed for these kinds of niche
measurements. They're designed for high
resolution imaging. So then you have to
take your super expensive nice piece of
equipment and start modifying it. So I
think that one of the nicest things in
experimental physics is we get to make
our own stuff. So I thought wouldn't it
be cool if we could just make a sort of
a homemade STM that is designed just for
these types of measurements and is
optimized for these techniques. And in
principle an STM is pretty simple in
terms of hardware. You just need some
long range positioning to get the tip in
the right place. some short range atomic
resolution positioning, a sharp tip, and
some electronics. Uh, but obviously when
you're working at the atomic scale, even
simple things become very complicated
because any source of noise or
interference is going to be a huge
problem.
And this has kept me entertained for
quite a while. This is uh I've been
playing around with this both as as my
research and a hobby uh for for quite a
few years now. You can see some early
kind of crazy looking things I made in
my shed during the the COVID pandemic.
Um, and then when I started to move them
into the labs in Lancaster University,
they got a bit less mad scientist
looking and a bit more professional. Um,
and the one that I'm going to talk about
today is this one here. And this is the
instrument that I've chosen to open
source because I think it strikes a good
balance between being easy to make as an
individual while still actually being
able to perform real sort of research
grade measurements. We still use this
today in our lab to do research. So
here's kind of a view of what this STM
looks like. You can see a cutaway render
of what's going on inside there. And I'm
just going to go through some of the
main pieces uh and show you some of the
sort of design decisions here. So, the
simplest part is the frame. You need
something stable to attach all of your
components to. Um, but when you're
working at atomic precision, you need
any kind of drift and vibration to be as
small as possible or it's going to be
bigger than the actual thing you're
trying to measure. So, the materials
that are good for this, like uh sapphire
or granite, aren't really very
accessible for a home builder. So, I
opted for a kind of a a composite
approach or like a two-stage uh setup.
uh where we have a steel inner frame and
this is just made of some laser cut top
and bottom plates. So you can just send
off these from the through the post uh
for not too much money and then the rods
separating them are just hand cut bar
stock. Um and then the issue with just
leaving it here is that if you ever take
a steel structure and and hit it with
like a hammer, it rings like a bell. So
it's got a lot of resonances which are
actually amplifying vibrations at
certain frequencies. So to kind of
deaden those resonances out, we made a
3D printed mold and we poured this cast
epoxy granite composite, which is just
epoxy compound with some granite
aggregate. So essentially really coarse
sand. And then after curing it and
post-processing, we get our STM frame
that looks like this. And in the center
of the frame here, you can see the
actual uh heart of the STM, which is the
nano positioner.
So I mentioned near the beginning that
we we need some long range and fine
range positioning in our STM. Uh and
this scan unit is based on an open-
source project by another group uh which
combines both of these things into one
unit and it does it in a really clever
way. Um so the short range positioning
is done with a poelectric crystal. So
this is a crystal that changes shape uh
when you apply a magnetic field to it.
The atoms get further apart and closer
together. So you can produce really
really small movement with this
and it's coupled to this linear slide
with a magnet. So at slow speeds that
coupling is rigid and the linear slide
reproduces the atomic scale movement of
the crystal. But if you move quickly in
one direction and then slowly in the
other. When you're moving quickly the
magnet will slip a little bit. So you
actually get a net displacement and you
can move the stage in these kinds of
steps to get longer range motion. So
this is how that looks in real life. And
we just assembled a threeaxis stage. So
we have this motion in three dimensions.
It costs about £150 to build one of
these stages, which if you compare it to
the kind of thing you could buy from a
research supplier is is about two orders
magnitude cheaper. Um
once you have that kind of of resolution
and capability and positioning, it's no
good if you can't control external
vibrations.
um the vibrations in a typical room will
be orders of magnitude bigger than the
things we're actually trying to measure.
So I don't know if you can make out the
yellow trace on this oscilloscope.
This is the signal from an earlier
iteration of this STM and this is me
just dropping a small bolt uh from a few
meters away onto the floor. It's a very
zoomed in video. Um, but you can see
when the bolt hits the floor a huge
spike in the signal and that is the
junction actually rupturing and the the
experiment breaking down. So if you
don't have some kind of vibration
isolation in a normal environment, you
have no chance of doing one of these
measurements. So what I built into this
instrument was a stack of alternating
steel discs and soft bon O-rings. So at
each stage, this damps some of the
vibrations as they move up from the base
towards the more sensitive part of the
instrument. And this has been really
effective in helping to keep those sort
of vibrations away.
So once this is all built, we need a way
of actually testing that we're we're
measuring uh what we think we are. And I
think really the coolest benchmark is to
measure the electrical conductance of a
gold atom. So this is like taking your
multimeter, setting it to the resistance
mode and putting the probes across just
a single atom. Uh it's a really cool
experiment. Uh partly because you can
actually with some some fairly simple
maths that fits on the back of an
envelope uh predict what the electrical
conductance of a gold atom should be.
And it turns out to be this value G,
which is equal to 2 E^2 over H. So
that's the charge of an electron and
plank's constant. So these are two
fundamental properties that should be
the same everywhere in the universe that
we're probing with our STM here. And if
we do our break junction measurement
where we're crashing the probe and
pulling away and stretching metallic
junctions without any molecules there,
then at the moment that the metallic
junctions about to break, it should
start to thin down to a countable number
of of atoms. So we should start to see
integer steps of this 2e ^2 over h as we
go from 3 2 and finally one atoms in our
junction when we do this for real that's
exactly what we see. So this is a real
measurement from from this STM on some
gold atoms and you can see the three two
and finally one atom steps. So this last
plateau is a single gold atom being
measured in our junction. And if you do
this thousands of times and plot like a
histogram, like a probability map, we
can see peaks at these integer multiples
which are telling us that we are
reliably forming uh at atomic scale
junctions.
So you'd think that if you can form an
atomic junction, a molecular junction
should be easy, right? Because this
octane diile molecule that we've chosen
to study is eight carbon atoms long with
a sulfur atom at each end. So it's 10
times larger than the the gold atom. Uh
but there's actually quite a lot of
complexity in the binding between the
gold and the molecule. So you get
measurements that look like this where
we're seeing molecular binding events
and and single molecule circuits, but
every circuit is a little bit different.
So how do we handle this kind of
variation and say something actually
useful about our molecule?
The typical way to handle this is to
take 10,000 or so of these measurements
and collapse them onto a 2D heat map
here. So brighter points correspond to
where there is more of this data in the
data set. And we can read off the
shoulder here and we can get the average
electrical conductance and breaking
length of our single molecule. And we
can see that we are consistently forming
single molecule junctions.
But we then went a little bit further
and we decided to apply some machine
learning based clustering to this data
set. So it's splitting the data up by
the similarity of of the traces to each
other and we get this. So that actually
that big messy heat map actually it
turns out is made up of a few distinct
event types and these actually
correspond to the different physical
types of binding that the molecule can
have with the electrodes. And this is
really powerful now because this gives
us not only um access to the average
properties of the molecule, but we can
also look at the different ways that the
molecule can bind and see the relative
likelihood of those binding uh uh modes.
And that means that if for example for a
future device we would want just this
type of binding we can now go back and
modify our deposition methods or a
molecular design and we can do this
experiment again and see if the
proportion of this group has increased
in our data set. So we now have a
pathway towards iterating towards
practical consistent devices. But
there's also interesting physics here
because uh scientifically we understand
what is going on in in the electrodes
really well and separately we understand
the molecule very well but this kind of
coastline between the molecule and the
electrode is extremely complicated and
still not entirely well understood. So
this is actually with some homemade
equipment that cost about £500 to build.
we're actually probing a real frontier
in understanding uh and this is what
makes it so useful for for the research
that we're doing in the lab going
forward. Um so that was the last result
I wanted to show you. Uh just um I'd
like to just thank uh everyone in the
the labs back at Lancaster uh who
support the work and make it possible.
Uh, UKRI provided a lot of funding and
um, I'd also like to thank my brother
Will who provided a lot of technical
advice and help with the epoxy molding
in particular. Um, and there is a a
GitHub with some more information about
the the instrument on there and I'm
preparing an open access paper and a
build guide uh, so that more labs and
even individuals can start to reproduce
this. Um, and yeah, with that uh, thank
you all for listening. I'll probably be
in the Q&A tent later if anyone has any
questions. Yeah, thank you. [applause]