Physics – Duke Research Blog

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Understanding the Universe, Large and Small

On January 8, 2019

From the miniscule particles underlying matter, to vast amounts of data from the far reaches of outer space, Chris Walter, a professor of physics at Duke, pursues research into the great mysteries of the universe, from the infinitesimal to the infinite.

As an undergraduate at the University of California at Santa Cruz, he thought he would become a theoretical physicist, but while continuing his education at the California Institute of Technology (Caltech), he found himself increasingly drawn to experimental physics, deriving knowledge of the universe by observing its phenomena.

Neutrinos — miniscule particles emitted during radioactive decay — captured his attention, and he began work with the KamiokaNDE (Kamioka Nucleon Decay Experiment, now typically written as Kamiokande) at the Kamioka Observatory in Hida, Japan. Buried deep underground
in an abandoned mine to shield the detectors from cosmic rays and submerged in water, Kamiokande offered Walter an opportunity to study a long-supposed but still unproven hypothesis: that neutrinos were massless.

Recalling one of his most striking memories from his time in the lab, he described observing and finding answers in Cherenkov light – a ‘sonic boom’ of light. Sonic booms are created by breaking the sound barrier in air. However, the speed of light changes in different media – the speed of light in water is less than the speed of light in a vacuum — and a particle accelerator could accelerate particles beyond the speed of light in water. Walter described it like a ring of light bursting out of the darkness.

In his time at the Kamioka Observatory, he was a part of groundbreaking neutrino research on the mass of neutrinos. Long thought to have been massless, Kamiokande discovered the property of neutron oscillation – that neutrinos could change from flavor to flavor, indicating that, contrary to popular belief, they had mass. Seventeen years later, in 2015, the leader of his team, Takaaki Kajita, would be co-awarded the Nobel Prize for Physics, citing research from their collaboration.

Chris Walter (left) and his Duke physics collaborator and partner, Kate Scholberg (right), on a lift inside the Super-Kamiokande neutrino detector.

Neutrinos originated from the cosmic rays in outer space, but soon another mystery from the cosmos captured Walter’s attention.

“If you died and were given the chance to know the answer to just one question,” he said, “for me, it would be, ‘What is dark energy?’”

Observations made in the 1990s, as Walter was concluding his time at the Kamioka Observatory, found that the expansion of the universe was accelerating. The nature of the dark energy causing this accelerating expansion remained unknown to scientists, and it offered a new course of study in the field of astrophysics.

Walter has recently joined the Large Synoptic Survey Telescope (LSST) as part of a 10-year, 3D survey of the entire sky, gathering over 20 terabytes of data nightly and detecting thousands of changes in the night sky, observing asteroids, galaxies, supernovae, and other astronomical phenomena. With new machine learning techniques and supercomputing methods to process the vast quantities of data, the LSST offers incredible new opportunities for understanding the universe.

To Walter, this is the next big step for research into the nature of dark energy and the great questions of science.

A rendering of the Large Synoptic Survey Telescope. (Note the naked humans for scale)

Guest Post by Thomas Yang, NCSSM 2019

Teaching a Machine to Spot a Crystal

By Kara Manke

On June 20, 2018

In Biology, Chemistry, Computers/Technology, Medicine, Physics

A collection of iridescent crystals grown in space

Not all protein crystals exhibit the colorful iridescence of these crystals grown in space. But no matter their looks, all are important to scientists. Credit: NASA Marshall Space Flight Center (NASA-MSFC).

Protein crystals don’t usually display the glitz and glam of gemstones. But no matter their looks, each and every one is precious to scientists.

Patrick Charbonneau, a professor of chemistry and physics at Duke, along with a worldwide group of scientists, teamed up with researchers at Google Brain to use state-of-the-art machine learning algorithms to spot these rare and valuable crystals. Their work could accelerate drug discovery by making it easier for researchers to map the structures of proteins.

“Every time you miss a protein crystal, because they are so rare, you risk missing on an important biomedical discovery,” Charbonneau said.

Knowing the structure of proteins is key to understanding their function and possibly designing drugs that work with their specific shapes. But the traditional approach to determining these structures, called X-ray crystallography, requires that proteins be crystallized.

Crystallizing proteins is hard — really hard. Unlike the simple atoms and molecules that make up common crystals like salt and sugar, these big, bulky molecules, which can contain tens of thousands of atoms each, struggle to arrange themselves into the ordered arrays that form the basis of crystals.

“What allows an object like a protein to self-assemble into something like a crystal is a bit like magic,” Charbonneau said.

Even after decades of practice, scientists have to rely in part on trial and error to obtain protein crystals. After isolating a protein, they mix it with hundreds of different types of liquid solutions, hoping to find the right recipe that coaxes them to crystallize. They then look at droplets of each mixture under a microscope, hoping to spot the smallest speck of a growing crystal.

“You have to manually say, there is a crystal there, there is none there, there is one there, and usually it is none, none, none,” Charbonneau said. “Not only is it expensive to pay people to do this, but also people fail. They get tired and they get sloppy, and it detracts from their other work.”

Three microscope images of protein crystallization solutions

The machine learning software searches for points and edges (left) to identify crystals in images of droplets of solution. It can also identify when non-crystalline solids have formed (middle) and when no solids have formed (right).

Charbonneau thought perhaps deep learning software, which is now capable of recognizing individual faces in photographs even when they are blurry or caught from the side, should also be able to identify the points and edges that make up a crystal in solution.

Scientists from both academia and industry came together to collect half a million images of protein crystallization experiments into a database called MARCO. The data specify which of these protein cocktails led to crystallization, based on human evaluation.

The team then worked with a group led by Vincent Vanhoucke from Google Brain to apply the latest in artificial intelligence to help identify crystals in the images.

After “training” the deep learning software on a subset of the data, they unleashed it on the full database. The A.I. was able to accurately identify crystals about 95 percent of the time. Estimates show that humans spot crystals correctly only 85 percent of the time.

“And it does remarkably better than humans,” Charbonneau said. “We were a little surprised because most A.I. algorithms are made to recognize cats or dogs, not necessarily geometrical features like the edge of a crystal.”

Other teams of researchers have already asked to use the A.I. model and the MARCO dataset to train their own machine learning algorithms to recognize crystals in protein crystallization experiments, Charbonneau said. These advances should allow researchers to focus more time on biomedical discoveries instead of squinting at samples.

Charbonneau plans to use the data to understand how exactly proteins self-assemble into crystals, so that researchers rely less on chance to get this “magic” to happen.

“We are trying to use this data to see if we can get more insight into the physical chemistry of self-assembly of proteins,” Charbonneau said.

CITATION: “Classification of crystallization outcomes using deep convolutional neural networks,” Andrew E. Bruno, et al. PLOS ONE, June 20, 2018. DOI: 10.1371/journal.pone.0198883

Post by Kara Manke

Stretchable, Twistable Wires for Wearable Electronics

By Kara Manke

On April 2, 2018

In Chemistry, Engineering, Faculty, Nanotech, Physics, Students

A new conductive “felt” carries electricity even when twisted, bent and stretched. Credit: Matthew Catenacci

The exercise-tracking power of a Fitbit may soon jump from your wrist and into your clothing.

Researchers are seeking to embed electronics such as fitness trackers and health monitors into our shirts, hats, and shoes. But no one wants stiff copper wires or silicon transistors deforming their clothing or poking into their skin.

Scientists in Benjamin Wiley’s lab at Duke have created new conductive “felt” that can be easily patterned onto fabrics to create flexible wires. The felt, composed of silver-coated copper nanowires and silicon rubber, carries electricity even when bent, stretched and twisted, over and over again.

“We wanted to create wiring that is stretchable on the body,” said Matthew Catenacci, a graduate student in Wiley’s group.

The conductive felt is made of stacks of interwoven silver-coated copper nanotubes filled with a stretchable silicone rubber (left). When stretched, felt made from more pliable rubber is more resilient to small tears and holes than felts made of stiffer rubber (middle). These tears can be seen in small cavities in the felt (right). Credit: Matthew Catenacci

To create a flexible wire, the team first sucks a solution of copper nanowires and water through a stencil, creating a stack of interwoven nanowires in the desired shape. The material is similar to the interwoven fibers that comprise fabric felt, but on a much smaller scale, said Wiley, an associate professor of chemistry at Duke.

“The way I think about the wires are like tiny sticks of uncooked spaghetti,” Wiley said. “The water passes through, and then you end up with this pile of sticks with a high porosity.”

The interwoven nanowires are heated to 300 F to melt the contacts together, and then silicone rubber is added to fill in the gaps between the wires.

To show the pliability of their new material, Catenacci patterned the nanowire felt into a variety of squiggly, snaking patterns. Stretching and twisting the wires up to 300 times did not degrade the conductivity.

The material maintains its conductivity when twisted and stretched. Credit: Matthew Catenacci

“On a larger scale you could take a whole shirt, put it over a vacuum filter, and with a stencil you could create whatever wire pattern you want,” Catenacci said. “After you add the silicone, so you will just have a patch of fabric that is able to stretch.”

Their felt is not the first conductive material that displays the agility of a gymnast. Flexible wires made of silver microflakes also exhibit this unique set of properties. But the new material has the best performance of any other material so far, and at a much lower cost.

“This material retains its conductivity after stretching better than any other material with this high of an initial conductivity. That is what separates it,” Wiley said.

“Stretchable Conductive Composites from Cu-Ag Nanowire Felt,” Matthew J. Catenacci, Christopher Reyes, Mutya A. Cruz and Benjamin J. Wiley. ACS Nano, March 14, 2018. DOI: 10.1021/acsnano.8b00887

Post by Kara Manke

How Earth’s Earliest Lifeforms Protected Their Genes

By Kara Manke

On March 2, 2018

In Biology, Chemistry, Faculty, Genetics/Genomics, Physics, Students

A colorful hot spring in Yellowstone National Park

Heat-loving thermophile bacteria may have been some of the earliest lifeforms on Earth. Researchers are studying their great great great grandchildren, like those living in Yellowstone’s Grand Prismatic Spring, to understand how these early bacteria repaired their DNA.

Think your life is hard? Imagine being a tiny bacterium trying to get a foothold on a young and desolate Earth. The earliest lifeforms on our planet endured searing heat, ultraviolet radiation and an atmosphere devoid of oxygen.

Benjamin Rousseau, a research technician in David Beratan’s lab at Duke, studies one of the molecular machines that helped these bacteria survive their harsh environment. This molecule, called photolyase, fixes DNA damaged by ultraviolet (UV) radiation — the same wavelengths of sunlight that give us sunburn and put us at greater risk of skin cancer.

“Anything under the sun — in both meanings of the phrase — has to have ways to repair itself, and photolyase proteins are one of them,” Rousseau said. “They are one of the most ancient repair proteins.”

Though these proteins have been around for billions of years, scientists are still not quite sure exactly how they work. In a new study, Rousseau and coworkers, working with Professor David Beratan and Assistant Research Professor Agostino Migliore, used computer simulations to study photolyase in thermophiles, the great great great great grandchildren of Earth’s original bacterial pioneers.

The study appeared in the Feb. 28 issue of the Journal of the American Chemical Society.

DNA is built of chains of bases — A, C, G and T — whose order encodes our genetic information. UV light can trigger two adjacent bases to react and latch onto one other, rendering these genetic instructions unreadable.

Photolyase uses a molecular antenna to capture light from the sun and convert it into an electron. It then hands the electron over to the DNA strand, sparking a reaction that splits the two bases apart and restores the genetic information.

A ribbon diagram of a photolyase protein

Photolyase proteins use a molecular antenna (green, blue and red structure on the right) to harvest light and convert it into an electron. The adenine-containing structure in the middle hands the electron to the DNA strand, splitting apart DNA bases. Credit: Benjamin Rousseau, courtesy of the Journal of the American Chemical Society.

Rousseau studied the role of a molecule called adenine in shuttling the electron from the molecular antenna to the DNA strand. He looked at photolyase in both the heat-loving ancestors of ancient bacteria, called thermophiles, and more modern bacteria like E. Coli that thrive at moderate temperatures, called mesophiles.

He found that in thermophiles, adenine played a role in transferring the electron to the DNA. But in E. coli, the adenine was in a different position, providing mainly structural support.

The results “strongly suggest that mesophiles and thermophiles fundamentally differ in their use of adenine for this electron transfer repair mechanism,” Rousseau said.

He also found that when he cooled E. Coli down to 20 degrees Celsius — about 68 degrees Fahrenheit — the adenine shifted back in place, resuming its transport function.

“It’s like a temperature-controlled switch,” Rousseau said.

Though humans no longer use photolyase for DNA repair, the protein persists in life as diverse as bacteria, fungi and plants — and is even being studied as an ingredient in sunscreens to help repair UV-damaged skin.

Understanding exactly how photolyase works may also help researchers design proteins with a variety of new functions, Rousseau said.

“Photolyase does all of the work on its own — it harvests the light, it transfers the electron over a huge distance to the other site, and then it cleaves the DNA bases,” Rousseau said. “Proteins with that kind of plethora of functions tend to be an attractive target for protein engineering.”

Post by Kara Manke

Can Science Explain Everything? An Exploration of Faith

By Stella Wang

On February 8, 2018

In Chemistry, Medicine, Physics, Science Communication & Education

The Veritas Forum, Feb. 1 in Penn Pavilion

I found out about this year’s Veritas Forum an hour before it started — a friend, who two years ago helped me explore Christianity (I grew up non-religious and was curious), mentioned it when we ran into each other at the Brodhead Center.

So, to avoid my academic responsibilities, I instead listened to Duke physics professor Ronen Plesser, a non-practicing Jew, Troy Van Voorhis, a Christian who teaches chemistry at MIT, and moderator Ehsan Samei, a professor of radiology and biomedical engineering at Duke. They discussed the God Hypothesis and how it fit in with their views as hard scientists.

Ehsan Samei

As someone who has relied on the scientific method instead of an omniscient, higher power to understand the natural world, I found it amazing how the speakers used relatable examples to demonstrate their belief that humans cannot explain everything. They started answering the classic question “Why is the sky blue?,” using more and more complex chemistry and physics as answers only led to more questions.

At some point, science-based explanations about how and why molecules move the way they do and where they come from didn’t suffice — at some point, it just seems like something, or someone, is responsible for the unexplainable.

Troy Van Voorhis of MIT

Something that Van Voorhis said particularly stuck in my mind. Reproducibility and objectivity form the “bedrock of science,” but are also it’s “grand limitations.” They are essential to corroborating the results of a scientific study or experiment, but can they really confirm something as scientific truth? When does reproducibility adequately overcome variation in data, and can something be defined as truly objective?

So, I sat there in the audience, thinking about alternatives to explaining morals, ethics, and the feeling of being human since, to paraphrase Plesser, science just doesn’t cut it in these cases. He elaborated on faith after branching off Van Voorhis’ point of view. Plesser’s explanation made the overlap of science and religion become more and more prominent. As someone who also does not practice a religion, I felt that his comparison of faith in science and faith in religion comforting.

Ronan Plesser

Even though I still struggle to fully accept Christ, I was aware of the similarities of the path to scientific and spiritual enlightenment. In science, incessant questioning of our surroundings is necessary to understand the Truths of our world (“otherwise we wouldn’t be publishing papers and we would be out of our jobs!”), as are the calls to God to come down and help people improve themselves. It is impossible, then, to avoid faith entirely since being human inherently involves belief in some sort of system.

I was wowed by the connections that the three men were making between the seemingly divergent areas. I was even more astonished, though, by their emphasis on humility. They exemplified the need for understanding and patience when describing scientific theories and religious ideologies. To be humble is to accept that people have differences and to acknowledge these differences is the only way to reduce conflicts between religion and science.

Post by Stella Wang

Farewell, Electrons: Future Electronics May Ride on New Three-in-One Particle

By Kara Manke

On January 16, 2018

In Chemistry, Computers/Technology, Engineering, Nanotech, Physics

“Trion” may sound like the name of one of the theoretical particles blamed for mucking up operations aboard the Starship Enterprise.

But believe it or not, trions are real — and they may soon play a key role in electronic devices. Duke researchers have for the first time pinned down some of the behaviors of these one-of-a-kind particles, a first step towards putting them to work in electronics.

A carbon nanotube, shaped like a rod, is wrapped in a helical coating of polymer

Three-in-one particles called trions — carrying charge, energy and spin — zoom through special polymer-wrapped carbon nanotubes at room temperature. Credit: Yusong Bai.

Trions are what scientists call “quasiparticles,” bundles of energy, electric charge and spin that zoom around inside semiconductors.

“Trions display unique properties that you won’t be able to find in conventional particles like electrons, holes (positive charges) and excitons (electron-hole pairs that are formed when light interacts with certain materials),” said Yusong Bai, a postdoctoral scholar in the chemistry department at Duke. “Because of their unique properties, trions could be used in new electronics such as photovoltaics, photodetectors, or in spintronics.”

Usually these properties – energy, charge and spin – are carried by separate particles. For example, excitons carry the light energy that powers solar cells, and electrons or holes carry the electric charge that drives electronic devices. But trions are essentially three-in-one particles, combining these elements together into a single entity – hence the “tri” in trion.

A diagram of how a trion is formed in carbon nanotubes.

A trion is born when a particle called a polaron (top) marries an exciton (middle). Credit: Yusong Bai.

“A trion is this hybrid that involves a charge marrying an exciton to become a uniquely distinct particle,” said Michael Therien, the William R. Kenan, Jr. Professor of Chemistry at Duke. “And the reason why people are excited about trions is because they are a new way to manipulate spin, charge, and the energy of absorbed light, all simultaneously.”

Until recently, scientists hadn’t given trions much attention because they could only be found in semiconductors at extremely low temperatures – around 2 Kelvin, or -271 Celcius. A few years ago, researchers observed trions in carbon nanotubes at room temperature, opening up the potential to use them in real electronic devices.

Bai used a laser probing technique to study how trions behave in carefully engineered and highly uniform carbon nanotubes. He examined basic properties including how they are formed, how fast they move and how long they live.

He was surprised to find that under certain conditions, these unusual particles were actually quite easy to create and control.

“We found these particles are very stable in materials like carbon nanotubes, which can be used in a new generation of electronics,” Bai said. “This study is the first step in understanding how we might take advantage of their unique properties.”

The team published their results Jan. 8 in the Proceedings of the National Academy of Sciences.

“Dynamics of charged excitons in electronically and morphologically homogeneous single-walled carbon nanotubes,” Yusong Bai, Jean-Hubert Olivier, George Bullard, Chaoren Liu and Michael J. Therien. Proceedings of the National Academy of Sciences, Jan. 8, 2018 (online) DOI: 10.1073/pnas.1712971115

Post by Kara Manke

Glitter and Jell-O Reveal the Science of Oobleck

By Kara Manke

On December 13, 2017

In Chemistry, Faculty, Physics, Students

A black and white image showing a circular disk dropping into a container of oobleck

Mixing black glitter with oobleck allowed researchers to track the movement of individual cornstarch particles after a sudden impact. A computer program locked onto pieces of glitter and illustrated their motion. Credit: Melody Lim.

What do gelatin and glitter have to do with serious science? For some experiments, a lot! Duke alumna Melody Lim used jiggly Jell-O and a just a pinch of glitter to solve a scientific mystery about the curious goo many like to call oobleck.

To the uninitiated, oobleck is almost magic. The simple mixture of cornstarch and water feels solid if you squeeze it, but moments later runs through your fingers like water. You can dance across a bathtub full of oobleck, but stand still for too long and you will be sucked into a goopy mess. Not surprisingly, the stuff is a Youtube favorite.

Oobleck is an example of what scientists call a non-Newtonian fluid, a liquid whose viscosity – how easily it changes shape and flows – depends upon the force that is applied. But exactly how it is that this material switches from solid to liquid and back again has remained a mystery to scientists.

A piece of gelatin being squeezed viewed through a circular polarizer

This blogger mixed up a batch of jello to see the photoelastic effect for herself. When viewed with polarized light – from an iPhone screen and a circular polarizer – the jello changes color when squeezed.

“Water is simple to understand, and so is cornstarch,” said Lim, ’16, who is currently a graduate student at the University of Chicago. “However, a combination of the two produces this ‘liquid’ that ripples and flows, solidifies beneath your feet if you run on it, then turns back into a liquid if you stop running and stand still. I wanted to know why.”

The question beguiling scientists was whether sudden impact causes the cornstarch particles to “jam” into a solid like cement, or whether the suspension remains liquid but simply moves too slowly for its liquid-like properties to be apparent — similar to what happens if you skip a rock off the surface of a lake.

“There are these two opposing pictures,” said Robert Behringer, James B. Duke Professor of Physics at Duke. “Either you squish the material and turn it into cement temporarily, or you simply transmit the stress from the impactor straight to the boundary.”

Lim did two sets of experiments to find out which way oobleck works. In one experiment, she mixed black glitter into a transparent channel filled with oobleck, and then used a high-speed camera to watch how the material responded to the impact. The glitter let her track the motion of individual particles after the disc hit.

A piece of gelatin changes color when you squeeze it.

The photoelastic effect in gelatin.

Her video shows that the particles near the impact site jam and become solid, forming what the researchers call a “mass shock” wave that travels slowly through the suspension.

In a second set of experiments, Lim placed the oobleck in a container lined with gelatin, the main ingredient in Jell-O – besides sugar and food dye, of course. Gelatin is what is called a photoelastic material, which means that applying pressure bends light that travels through it, like a prism.

“Next time you eat Jell-O, get out your sunglasses and get somebody else’s sunglasses and look between them,” Behringer said. “Because if you give it a shake you should see all these stress patterns bouncing around.”

After the metal disc hit the oobleck, the gelatin let Lim see how fast the resulting pressure wave traveled through the material and reached the boundary.

A black and white image showing pressure waves traveling through a transparent material after impact

The researchers poured oobleck into a clear container lined with gelatin, a material that bends light when a pressure is applied to it. They saw that the force of a sudden impact is rapidly transmitted through the oobleck and to the boundary with the gelatin. Credit: Melody Lim.

They found that when the impact is sudden, the pressure wave traveled to the gelatin boundary faster than the “mass shock” wave. This means that the reason oobleck appears solid after a sudden impact is because the force of the collision is quickly transmitted to a solid boundary.

“If you are running across the water, that actually puts you into an impact velocity range where the pressure wave is significantly faster than the mass shock,” Behringer said. “Whereas if you try to walk across it, the impact speeds are slow, and the system actually doesn’t have the ability to transport the momentum quickly through the material and so you just sink in.”

“If you’d told me when I started that I would line a narrow container with Jell-o, add cornstarch, water, and black glitter, drop a piece of metal on it, then publish a paper on the results, I would have laughed at you,” Lim said.

CITATION: “Force and Mass Dynamics in Non-Newtonian Suspensions,” Melody X. Lim, Jonathan Barés, Hu Zheng and Robert P. Behringer. Physical Review Letters, Nov. 3, 2017. DOI: 10.1103/PhysRevLett.119.184501

Post by Kara Manke

Morphogenesis: All Guts and Morning Glories

By Lydia Goff

On December 12, 2017

In Biology, Lecture, Mathematics, Neuroscience, Physics

What is morphogenesis? Morphogenesis examines the development of the living organisms’ forms.

It also is an area of research for Lakshminarayanan Mahadevan, Professor of Applied Mathematics, Organismic and Evolutionary Biology and Physics at Harvard University. On his presentation in the Public Lectures Unveiling Math (PLUM) series here at Duke, he credited the beginnings of morphogenesis to D’Arcy Wentworth Thompson, author of the book On Growth and Form.

Mathematically, morphogenesis focuses on how different rates of growth change the shapes of organisms as they develop. Cell number, cell size, cell shape, and cell position comprise the primary cellular factors of multicellular morphogenesis, which studies larger structures than individual cells and is Mahadevan’s focus.

Effects on tissues appear through changes in sizes, connectivities, and shapes, altering the phenotype, or the outward physical appearance. All these variables change in space and time. Professor Mahadevan presented on morphogenesis studies that have been conducted on plant shoots, guts, and brains.

Research on plant shoots often concentrates on the question, “Why do plant shoots grow in such a wide variety of directions and what determines their shapes?” The picture below shows the different postures appearances of plant shoots from completely straight to leaning to hanging.

Can morphogenesis make sense of these differences? Through mathematical modeling, two stimuli for shoots’ shapes was determined: gravity and itself. Additionally, elasticity as a function of the shoots’ weight plays a role in the mathematical models of plant shoots’ shapes which appear in Mahadevan’s paper co-written with a fellow professor, Raghunath Chelakkot. Mahadevan also explored the formation of flower and leaf shapes with these morphogenesis studies.

Over twenty feet of guts are coiled up inside you. In order to fit these intestines inside the mammals, they must coil and loop. But what variables determine how these guts loop around? To discover the answer to this question, Mahadevan and other researchers examined chick embryos which increase their gut lengths by a factor greater than twenty over a twelve-day span. They were able to create a physical model using a rubber tube sewn to a sheet that followed the same patterns as the chicks’ guts. Through their observation of not only chicks but also quail and mice, Mahadevan determined that the morphogenesis of the guts has no dependence on genetics or any other microscopic factors.

Mahadevan’s study of how the brain folds occurs through MRI images of human fetal development. Initially, barely any folding exists on fetal brains but eventually the geometry of the surrounding along with local stress forms folds on the brain. By creating a template with gel and treating it to mimic the relationship between the brain’s gray matter and white matter, Mahadevan along with other researchers discovered that they could reproduce the brain’s folds. Because they were able to recreate the folds through only global geometry and local stress, they concluded that morphogenesis evolution does not depend on microscopic factors such as genetics. Further, by examining if folding regions correlate with the activity regions of the brain, questions about the effect of physical form on abilities and the inner functions of the brain.

Duke’s Researchers Are 1 Percent of the Top 1 Percent

By Karl Bates

On November 28, 2017

In Behavior/Psychology, Business/Economics, Climate/Global Change, Data, Environment/Sustainability, Faculty, Medicine, Physics

This year’s listing of the world’s most-cited researchers is out from Clarivate Analytics, and Duke has 34 names on the list of 3,400 researchers from 21 fields of science and social science.

Having your publication cited in a paper written by other scientists is a sign that your work is significant and advances the field. The highly-cited list includes the top 1 percent of scientists cited by others in the years 2005 to 2015.

“Citations by other scientists are an acknowledgement that the work our faculty has published is significant to their fields,” said Vice Provost for Research Lawrence Carin. “In research, we often talk about ‘standing on the shoulders of giants,’ as a way to explain how one person’s work builds on another’s. For Duke to have so many of our people in the top 1 percent indicates that they are leading their fields and their work is indeed something upon which others can build.”

In addition to the Durham researchers, Duke-NUS, our medical school in Singapore, claims another 13 highly cited scientists.

The highly-cited scientists on the Durham campus are:

Barton Haynes

CLINICAL MEDICINE
Robert Califf
Christopher Granger
Kristin Newby
Christopher O’Connor
Erik Magnus Ohman
Manesh Patel
Michael Pencina
Eric Peterson

ECONOMICS AND BUSINESS
Dan Ariely
John Graham
Campbell Harvey

Drew Shindell

ENVIRONMENT/ECOLOGY
John Terborgh
Mark Wiesner

GEOSCIENCES
Drew Shindell

IMMUNOLOGY
Barton Haynes

MATHEMATICS
James Berger

Georgia Tomaras

MICROBIOLOGY
Bryan Cullen
Barton Haynes
David Montefiori
Georgia Tomaras

PHARMACOLOGY & TOXICOLOGY
Robert Lefkowitz

PHYSICS
David R. Smith

PLANT AND ANIMAL SCIENCE
Philip Benfey

Terrie Moffitt

PSYCHIATRY & PSYCHOLOGY
Angold, Adrian
Caspi, Avshalom
Copeland, William E
Costello, E J
Dawson, Geraldine
Keefe, Richard SE
McEvoy, Joseph P
Moffitt, Terrie E

SOCIAL SCIENCES (GENERAL)
Deverick Anderson
Kelly Brownell
Michael Pencina

Cheating Time to Watch Liquids do the Slow Dance

By Kara Manke

On November 2, 2017

In Chemistry, Computers/Technology, Faculty, Mathematics, Physics

Colorful spheres simulating liquid molecules shift around inside a cube shape

The team’s new algorithm is able to simulate molecular configurations of supercooled liquids below the glass transition. The properties of these configurations are helping to solve a 70-year paradox about the entropy of glasses. Credit: Misaki Ozawa and Andrea Ninarello, Université de Montpellier.

If you could put on a pair of swimming goggles, shrink yourself down like a character from The Magic School Bus and take a deep dive inside a liquid, you would see a crowd of molecules all partying like it’s 1999.

All this frenetic wiggling makes it easy for molecules to rearrange themselves and for the liquid as a whole to change shape. But for supercooled liquids — liquids like honey that are cooled below their freezing point without crystallizing – the lower temperature slows down the dancing like Etta James’ “At Last.” Lower the temperature enough, and the slow-down can be so dramatic that it takes centuries or even millennia for the molecules to rearrange and the liquid to move.

Scientists can’t study processes that last longer than their careers. But Duke chemists and their Simons Foundation collaborators have found a way to cheat time, simulating the slow dance of deeply supercooled liquids. Along the way, they have found new physical properties of “aged” supercooled liquids and glasses.

A droplet rises above a surface of water

Credit: Ruben Alexander via Flickr.

To understand just how slow deeply supercooled liquids move, consider the world’s longest-running experiment, the University of Queensland’s Pitch Drop Experiment. A single drop of pitch forms every eight to thirteen years — and this pitch is moving faster than deeply supercooled liquids.

“Experimentally there is a limit to what you can observe, because even if you managed to do it over your entire career, that is still a maximum of 50 years,” said Patrick Charbonneau, an associate professor of chemistry and physics at Duke. “For many people that was considered a hard glass ceiling, beyond which you couldn’t study the behavior of supercooled liquids.”

Charbonneau, who is an expert on numerical simulations, said that using computers to simulate the behavior of supercooled liquids has even steeper time limitations. He estimates that, given the current rate of computer advancement, it would take 50 to 100 years before computers would be powerful enough for simulations to exceed experimental capabilities – and even then the simulations would take months.

To break this glass ceiling, the Charbonneau group collaborated with Ludovic Berthier and his team, who were developing an algorithm to bypass these time constraints. Rather than taking months or years to simulate how each molecule in a supercooled liquids jiggles around until the molecules rearrange, the algorithm picks individual molecules to swap places with each other, creating new molecular configurations.

This allows the team to explore new configurations that could take millennia to form naturally. These “deeply supercooled liquids and ultra-aged glasses” liquids are at a lower energy, and more stable, than any observed before.

“We were cheating time in the sense that we didn’t have to follow the dynamics of the system,” Charbonneau said. “We were able to simulate deeply supercooled liquids well beyond is possible in experiments, and it opened up a lot of possibilities.”

Two columns of blue and red spheres represent simulations of vapor-deposited glasses.

Glasses that are grown one layer at a time have a much different structure than bulk glasses. The team used their new algorithm to study how molecules in these glasses rearrange, and found that at low temperatures (right), only the molecules at the surface are mobile. The results may be used to design better types of glass for drug delivery or protective coatings. Credit: Elijah Flenner.

Last summer, the team used this technique to discover a new phase transition in low-temperature glasses. They recently published two additional studies, one of which sheds light on the “Kauzmann paradox,” a 70-year question about the entropy of supercooled liquids below the glass transition. The second explores the formation of vapor-deposited glasses, which have applications in drug delivery and protective coatings.

“Nature has only one way to equilibrate, by just following the molecular dynamics,” said Sho Yaida, a postdoctoral fellow in Charbonneau’s lab. “But the great thing about numerical simulations is you can tweak the algorithm to accelerate your experiment.”

“Configurational entropy measurements in extremely supercooled liquids that break the glass ceiling.” Ludovic Berthier, Patrick Charbonneau, Daniele Coslovich, Andrea Ninarello, Misaki Ozawa and Sho Yaida. PNAS, Oct. 24, 2017. DOI: 10.1073/pnas.1706860114

“The origin of ultrastability in vapor-deposited glasses.” Ludovic Berthier, Patrick Charbonneau, Elijah Flenner and Francesco Zamponi. PRL, Nov. 1, 2017. DOI: 10.1103/PhysRevLett.119.188002

Post by Kara Manke

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