Newswise — Single-atom catalysts have recently emerged as holding promise for solving environmental and energy issues. One such example, nickel embedded in graphene (a thin layer of graphite), has been shown to convert carbon dioxide, a molecule that causes the greenhouse effect, into carbon monoxide, which is an important feedstock for chemical engineering.
As a poisonous gas, carbon monoxide is often converted into carbon dioxide, such as in cars and trucks equipped with catalytic converters. This process is the reverse, which at first may sound a bit odd, but it provides an important role in synthesizing valuable chemicals to use as electricity in lieu of the Earth’s quickly depleting fossil fuels.
However, a better understanding of the atomic structure of this concoction is needed before nickel-embedded graphene can be used on a regular basis. To help with this challenge, researchers from the University of Texas at Austin (UT-Austin) recently simulated the catalytic mechanism and atomic structure of nickel-doped graphene using Comet at the San Diego Supercomputer Center (SDSC) and Stampede2 at the Texas Advanced Computing Center (TACC). The simulations showed a clear picture of the catalyst’s atomic structure so that researchers were able to better understand critical effects of surface change and hydrogen bonding, which were overlooked in previous models.
“Our work unveils the structure and mechanism underlying the performance of the catalyst - we found that the catalysis arises from the structure where the nickel atom is bonded with one nitrogen and three carbon atoms,” said Yuanyue Liu, an assistant professor of computational materials science at UT-Austin. “This structure can carry more charges than other hypothesized structures, and having more charges makes the electrochemical reaction faster, which means that the carbon dioxide can be converted to carbon monoxide with a higher rate.”
Liu further explained that this reaction can be facilitated by hydrogen bonding between water and the polar intermediate species generated during reaction, making it more favorable over other competing reactions that do not produce polar intermediate.
“This study not only explained a long-standing puzzle for an important catalyst but also highlighted the critical roles of change capacity and hydrogen bonding, which can help elucidate the mechanisms of other heterogeneous electrocatalysts in water to enable better design,” said Liu.
Published last month in the Journal of the American Chemical Society, Liu and co-author Xunhua Zhao outlined future plans to advance their studies on electrochemical reactions for energy conversion. Zhao, a postdoctoral student at UT-Austin, explained the importance of using supercomputers for this work.
“Our simulations required hundreds of CPUs running parallelly for tens of hours per calculation,” said Zhao. “We relied heavily on Comet and Stampede2 to accurately model the complex processes of charge transfer and dynamically evolving hydrogen-bond networks.”
Specifically, Liu and Zhao used a molecular dynamics simulation technique based on quantum mechanics – an examination of molecular structures. They are now focused on collaborations with experimentalists to test their computational results.
This research was funded by National Science Foundation (NSF) (1900039), the Welch Foundation (F-1959-20180324), and the NSF’s Extreme Science and Engineering Discovery Environment (TG-CHE1900065).
SDSC, located on the campus of UC San Diego, is a leader and pioneer in high-performance and data-intensive computing, providing cyberinfrastructure resources, services, and expertise to the national research community, academia, and industry. SDSC supports hundreds of multidisciplinary programs spanning a wide variety of domains, from astrophysics and earth sciences to disease research and drug discovery. In late 2020 SDSC will launch its newest NSF-funded supercomputer, Expanse. At over twice the performance of Comet, Expanse supports SDSC’s theme of ‘Computing without Boundaries’ with a data-centric architecture, public cloud integration, and state-of-the art GPUs for incorporating experimental facilities and edge computing.