Trevor David Rhone

Trevor David Rhone is an Assistant Professor in the Department of Physics, Applied Physics, and Astronomy at Rensselaer Polytechnic Institute. His research bridges machine learning and materials science, focusing on discovering exotic two-dimensional materials, predicting catalytic reaction outcomes, and analyzing physical systems through data analytics.

• Education: Liberal arts from Macalester College, Ph.D. in experimental physics from Columbia University
• Research Focus: Machine learning applications for materials discovery, including 2D materials, catalysis, Li-ion batteries, and magnetism
• Collaborations: Affiliated with the Institute for Data Exploration and Applications (IDEA) and Center for Materials, Devices, and Integrated Systems (CMDIS)

His recent work involves studying nonlinear optical properties in 2D systems, high-throughput screening of altermagnetic materials, and leveraging graph neural networks for magnetic property prediction. The research creates synergies between artificial intelligence and experimental physics to address fundamental materials science challenges.

Scientific awards include being selected as a Scialog Fellow by the Research Corporation for Science Advancement. His publications span topics like perovskite scintillators, topological phase transitions, and bonding configurations in 2D magnets.