Peter Schindler is an Assistant Professor of Mechanical and Industrial Engineering at Northeastern University. His group focuses on the discovery of novel materials for renewable energy applications using high-throughput density functional theory calculations and data-driven materials property predictions. His group additionally focuses on surface science of thin-film growth, semiconductor fabrication, and heterogeneous catalysis.
Prof. Schindler holds a Master’s degree and Ph.D. in Physics from the University of Vienna, and served as a postdoctoral scholar at Stanford University before joining Aionics as Senior Scientist in 2021. Prof. Schindler left his full-time role at Aionics to join the faculty of Northeastern University in 2022, and now serves as a member of the Aionics Scientific Advisory Board.
Relevant Press and Publications
- Discovery of materials with extreme work functions by high-throughput density functional theory and machine learning (ArXiV)
- Novel Ultrabright and Air-Stable Photocathodes Discovered from Machine Learning and Density Functional Theory Driven Screening (Advanced Materials)
- Surface Photovoltage-Induced Ultralow Work Function Material for Thermionic Energy Converters (ACS Energy Letters)
