Rachel Kurchin

Rachel Kurchin is a Courtesy Research Faculty member in the Department of PHY at Carnegie Mellon University. Her research interests include artificial intelligence, materials computation and informatics, sustainable energy production, conservation, and storage. Kurchin is affiliated with the Scott Institute for Energy Innovation and the Pittsburgh Quantum Institute. She is also a faculty affiliate of the Materials Science and Engineering Department and leads the Accelerated Computation of Materials for Energy (ACME) group. Her work focuses on using computational methods to address challenges in sustainable energy and materials science.

Rachel Kurchin is an Assistant Research Professor of Materials Science and Engineering at Carnegie Mellon University, specializing in energy materials, open science, density functional theory, and data-driven modeling. Her research focuses on developing and applying computational methods to design and characterize photovoltaic materials, with an emphasis on lead-free alternatives and defect-tolerant semiconductors. Kurchin's work includes theoretical and experimental screening of materials, Bayesian parameter estimation for device characterization, and the development of open-source tools for materials discovery. Her publications explore the interplay between structural, chemical, and electronic properties in perovskite-inspired materials and their applications in sustainable energy technologies.