Office: SN 2212
I received my PhD in Physics with a minor in Computer Science from Penn State University in 2004. Before joining the Department in August 2012 I was a Research Fellow at Duke University and a Senior Research Fellow at the University of Oxford.
My primary interest is the development and modelling of new materials with ab initio methods. The goal is to identify and realize novel materials with superconducting, superhard, or magnetic properties for use in energy storage applications.
I have developed an automated package MAISE (http://maise-guide.org/) that uses an evolutionary algorithm to predict new synthesizable crystal structures without any input from experiment. Several predictions have now been confirmed in joint studies with experimentalists in the UK, Germany and China. The theory-guided discoveries include the first synthesized superconductor designed fully in silico. For more information about my research and published work please see my webpage.
In 2014-2018, I had a single-PI NSF grant to combine bio-inspired algorithms for acceleration of materials prediction. A machine learning framework based on neural network and evolutionary optimization modules has been successfully implemented in MAISE. The NSF grant supported graduate and undergraduate students.
In 2018, I was awarded a three-year single-PI NSF grant to develop tin alloys with machine learning and data-driven methods. Targeted applications include topological insulators, battery anodes, and lead-free solders.
A PhD position in materials modeling and database development
Samad Hajinazar, graduate student
Ernesto Sandoval, graduate student
Aidan Thorn, graduate student
Saba Kharabadze, graduate student
Aiden Cullo, undergraduate student
Samuel Stromswold, undergraduate student
Javier Rojas, visiting student from U. Santiago, Chile
Itai Maimon, undergraduate student
Clément Beaufils, visiting student from the ENS of Cachan, France
Junping Shao, graduate student
Abram Van Der Geest, postdoc
Andrzej Bil, postdoc at Oxford
Sheena Shah, DPhil student at Oxford
Yue Chen, visiting DPhil student at Oxford
"Stratified construction of neural network-based interatomic models for multicomponent materials", S. Hajinazar, J. Shao, and A.N. Kolmogorov, Phys. Rev. B 95, 014114 (2017)"
“Ab initio engineering of materials with stacked hexagonal tin frameworks", J. Shao, C. Beaufils, and A.N. Kolmogorov, Sci. Rep. 6, 28369 (2016)”
"Discovery of a superhard iron tetraboride superconductor", H. Gou, N. Dubrovinskaia, E. Bykova, A. A. Tsirlin, D. Kasinathan, A. Richter, M. Merlini, M. Hanfland, A. M. Abakumov, D. Batuk, G. Van Tendeloo, Y. Nakajima, A. N. Kolmogorov, L. Dubrovinsky, Phys. Rev. Lett., 111, 157002 (2013). In the news: APS Viewpoint, BU press release
"Pressure-driven evolution of the covalent network in CaB6", A. N. Kolmogorov, S. Shah, E. R. Margine, A. K. Kleppe, and A. P. Jephcoat, Phys. Rev. Lett., 109, 075501 (2012)
"Spin waves and revised crystal structure of honeycomb iridate Na2IrO3", S. K. Choi, R. Coldea, A. N. Kolmogorov, T. Lancaster, I. I. Mazin, S. J. Blundell, P. G. Radaelli, Yogesh Singh, P. Gegenwart, K. R. Choi, S.-W. Cheong, P. J. Baker, C. Stock, J. Taylor, Phys. Rev. Lett., 108, 127204 (2012)
"New superconducting and semiconducting Fe-B compounds predicted with an ab initio evolutionary search", A. N. Kolmogorov, S. Shah, E. R. Margine, A. F. Bialon, T. Hammerschmidt, and R. Drautz, Phys. Rev. Lett., 105, 217003 (2010)