Peter Schindler

Education

Ph.D., Physics, University of Vienna, 2015
M.Sc., Physics, University of Vienna, 2011

Honors & Awards

Erwin Schrödinger Postdoctoral Fellow (FWF, Austria)

Teaching Interests

Thermodynamics of Materials
Introduction to Materials Science
Semiconductor Physics
Computational Materials Science

Research Overview

Discovery of novel materials for renewable energy applications using high-throughput density functional theory calculations and data-driven materials property predictions. Additional focus on surface science of thin-film growth, semiconductor fabrication, and heterogeneous catalysis.

Department Research Areas

Selected Publications

Y. Kim, S. Xu, J. Park, A. L. Dadlani, O. Vinogradovad, D. Krishnamurthy, M. Orazov, D. U. Lee, S. Dull, P. Schindler, H. S. Han, Z. Wang, T. Graf, T. D. Schladt, J. E. Mueller, R. Sarangi, R. Davis, V. Viswanathan, T. F. Jaramillo, D. C. Higgins, and F. B. Prinz, Improving intrinsic oxygen reduction activity and stability: Atomic layer deposition preparation of platinum-titanium alloy catalysts, Appl. Catalysis B: Env., 2022, 300, 120741 (10.1016/j.apcatb.2021.120741)
E. R. Antoniuk, P. Schindler, W. A. Schroeder, B. Dunham, P. Pianetta, T. Vecchione, and E. J. Reed, Novel Ultrabright and Air-Stable Photocathodes Discovered from Machine Learning and Density Functional Theory Driven Screening, Adv. Mat., 2021, 33, 44, 120741 (10.1002/adma.202104081)
S. Xu, Z. Wang, S. Dull, Y. Liu, D. U. Lee, J. S. Lezama Pacheco, M. Orazov, P. E. Vullum, A. L. Dadlani, O. Vinogradova, P. Schindler, Q. Tam, T. D. Schladt, J. E. Mueller, S. Kirsch, G. Huebner, D. Higgins, J. Torgersen, V. Viswanathan, T. F. Jaramillo, and F. B. Prinz, Direct Integration of Strained-Pt Catalysts into Proton-Exchange-Membrane Fuel Cells with Atomic Layer Deposition, Adv. Mat., 2021, 33, 30, 2007885 (10.1002/adma.202007885)
P. Schindler, E. R. Antoniuk, G. Cheon, Y. Zhu, and E. J. Reed, Discovery of materials with extreme work functions by high-throughput density functional theory and machine learning, ArXiv:2011.10905, 2020 (arxiv.org/abs/2011.10905)
E. R. Antoniuk, Y. Yue, Y. Zhou, P. Schindler, W. A. Schroeder, B. Dunham, P. Pianetta, T. Vecchione, and E. J. Reed, Generalizable density functional theory based photoemission model for the accelerated development of photocathodes and other photoemissive devices, Phys. Rev. B, 2020, 101, 235447 (10.1103/PhysRevB.101.235447)