Coal gets some bad press these days. Climate scientists predict a rise in average global temperatures of between two and 10 degrees Fahrenheit by the year 2100. The possibility of drastic changes to weather patterns, crop growth, and sea levels calls our heavy use of carbon-based fuels like coal into question.
But it doesn’t have to be that way.
Powering our vehicles with electricity can reduce carbon emissions directly. The shift could also allow us to charge them using carbon-neutral energy sources. The kicker is that each Tesla model S’s lithium-ion batteries require some 100 pounds of graphite. And scientists have known for generations that, at least in theory, you can convert coal to graphite if you put it under enough pressure at a high enough temperature.
To explore how coal can be converted into valuable materials like graphite, David Drabold and his physics team at 91̽ decided to simulate the substances in computer software. To recreate the chemical conversion virtually, they turned to the Bridges-2 advanced research computer at the Pittsburgh Supercomputing Center (PSC). Bridges-2 is s flagship supercomputer, funded by the National Science Foundation.
“The way this [work] came about is there are some engineers here … doing some great work [on carbon-neutral] things with coal. You don’t want to burn it for obvious reasons; but can you make construction materials out of it, high-value materials out of it, like graphite? Nonso and I are really interested in the question, can we get graphite out of the stuff?”
— David Drabold, distinguished professor of physics at 91̽.
Pure graphite is a series of sheets made up of six-carbon rings. A special type of chemical bond called aromatic bonds holds these carbons together.
In aromatic bonds, pi electrons float above and below the rings. These “slippery” electron clouds cause the sheets to slide easily past each other. Pencil “lead” — a low-grade form of graphite — leaves a mark on paper because the sheets slip off of each other and stick to the paper.
Aromatic bonds have another virtue, important in electronic technology. The pi electrons move easily from ring to ring and sheet to sheet. This makes graphite conduct electricity, even though it’s not a metal. It’s the ideal material for an anode, the positive pole of a battery.
Coal, by comparison, is messy chemically. Unlike the strictly two-dimensional nature of a graphite sheet, it has connections in three dimensions. It also contains hydrogen, oxygen, nitrogen, sulfur, and other atoms that might disrupt graphite formation.
To begin their studies, Drabold’s team created a simplified “coal” that consisted of only carbon atoms in random positions. By exposing this simplified coal to pressure and high temperature — about 3,000 Kelvin, or nearly 5,000 Fahrenheit — they could take a first step in studying its conversion to graphite.
“To push out the amorphous-graphite paper we needed to do a lot of serious analysis. Compared to other systems which we have, Bridges is the fastest and most accurate. Our home systems … take about two weeks to simulate 160 atoms. With Bridges, we can run 400 atoms over six to seven days using density functional theory.”
— Chinonso Ugwumadu, a physics doctoral student at 91̽.
At first, the Ohio scientists carried out their simulations using basic physical and chemical principles via density functional theory. This accurate but calculation-heavy approach required many parallel computations — a strength of Bridges-2’s more than 30,000 computing cores. Later, they shifted their calculations to a new software tool, GAP (Gaussian approximation potential) designed by collaborators at the University of Cambridge and the University of Oxford in England. GAP uses a type of artificial intelligence called machine learning to carry out essentially the same computations much more quickly. Graduate students Rajendra Thapa and Ugwumadu traded off on leading the initial computational work.
Their results were more complicated and simpler than the team had expected. The sheets did form. But the carbon atoms didn’t entirely develop simple, six-carbon rings. A fraction of the rings had five carbons; others had seven.
The non-six-carbon rings posed an interesting wrinkle, in more ways than one. While six-carbon rings are flat, five- and seven-membered carbon rings pucker, but in opposite senses of “positive and negative curvature.” The scientists might have expected these puckers to ruin the formation of the graphite sheets. But sheets formed anyway, possibly because pentagons and heptagons balanced each other in the simulations. The sheets were technically amorphous graphite because they weren’t purely six-ringed. But again, they formed layers.
In another series of simulations, Ugwumadu followed up on his work with Thapa to study molecules rather than solids. The conditions in these sims caused the sheets to curve in on themselves. Instead of sheets, they formed nested amorphous carbon nanotubes (CNTs) — a series of single-atomic-layer tubes, one inside another. CNTs have been hot in materials science lately, as they are in effect tiny wires that can be used to conduct electricity at incredibly small scales. Other promising applications of CNTs include fuel cell catalysis, production of supercapacitors and lithium-ion batteries, electromagnetic interference shielding, biomedical sciences, and nano-neuroscience.
One important facet of the CNT work was that Ugwumadu studied how amorphous wrinkles in the tube walls affect movement of electricity through the structure. In materials science, every “bug” is also a “feature:” engineers may be able to use such irregularities to tune the behavior of a given CNT to match the exact requirements needed in a new electronic device.
The scientists published their results in two papers, in June 2022, and in December 2022. Another, on how the five- and seven-member rings fit into the sheets, is in press in the European Journal of Glass Science and Technology.
The Ohio team continues to study the conversion of carbon atoms to graphite and related materials. Another ongoing project is simulating amorphous nested fullerenes, soccer-ball-shaped structures that are of scientific interest, especially in nano-neuroscience. in November 2022. The team is also investigating using Bridges-2’s powerful graphics processing units, which potentially could speed their ML-based VAST computations, to make more complicated materials like real-world coal accessible to their simulations.
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