Jed W. Pitera

Papers

Total Citations

381

H-Index

About

Jed W. Pitera is a leading figure at the intersection of computational materials science and artificial intelligence. His research focuses on accelerating the discovery of novel materials by integrating AI, high-performance computing, and automated experimentation. Pitera’s most impactful contribution is his visionary work on autonomous materials discovery platforms, exemplified by his highly cited 2022 paper (381 citations), which outlines how AI-driven, iterative workflows can replace traditional manual, serial processes. This work has helped define a new paradigm where simulation and robotic experimentation work in concert to rapidly identify and optimize materials. Beyond this, Pitera is known for his foundational contributions to molecular simulation methods, including enhanced sampling techniques and coarse-grained modeling. His research has profound implications for fields from energy storage to pharmaceuticals, demonstrating how computational approaches can dramatically shorten the materials development cycle. With a career spanning both IBM Research and academic collaborations, Pitera’s work continues to shape the future of autonomous discovery, making him a pivotal figure for students and researchers interested in the convergence of machine learning and materials science.