Stratified construction of neural network based interatomic models for multicomponent materials S Hajinazar, J Shao, AN Kolmogorov
Phys. Rev. B 95, 014114, 2017
87 2017 MAISE: Construction of neural network interatomic models and evolutionary structure optimization S Hajinazar, A Thorn, ED Sandoval, S Kharabadze, AN Kolmogorov
Computer Physics Communications 259, 107679, 2021
35 2021 Stability of two-dimensional BN-Si structures ED Sandoval, S Hajinazar, AN Kolmogorov
Physical Review B 94 (9), 094105, 2016
34 2016 Electron–phonon physics from first principles using the EPW code H Lee, S Poncé, K Bushick, S Hajinazar, J Lafuente-Bartolome, ...
npj Computational Materials 9 (1), 156, 2023
30 2023 Multitribe evolutionary search for stable Cu–Pd–Ag nanoparticles using neural network models S Hajinazar, ED Sandoval, AJ Cullo, AN Kolmogorov
Physical Chemistry Chemical Physics 21 (17), 8729-8742, 2019
30 2019 Structural search for stable Mg–Ca alloys accelerated with a neural network interatomic model W Ibarra-Hernández, S Hajinazar, G Avendaño-Franco, ...
Physical Chemistry Chemical Physics 20 (43), 27545-27557, 2018
23 2018 Toward ab Initio Ground States of Gold Clusters via Neural Network Modeling A Thorn, J Rojas-Nunez, S Hajinazar, SE Baltazar, AN Kolmogorov
The Journal of Physical Chemistry C 123 (50), 30088-30098, 2019
22 2019 Synthesis of a predicted layered LiB via cold compression AN Kolmogorov, S Hajinazar, C Angyal, VL Kuznetsov, AP Jephcoat
Physical Review B 92 (14), 144110, 2015
22 2015 Inhomogeneous Kondo-lattice in geometrically frustrated Pr2 Ir2 O7 M Kavai, J Friedman, K Sherman, M Gong, I Giannakis, S Hajinazar, H Hu, ...
Nature communications 12 (1), 1377, 2021
12 2021 Full-bandwidth anisotropic Migdal-Eliashberg theory and its application to superhydrides R Lucrezi, PP Ferreira, S Hajinazar, H Mori, H Paudyal, ER Margine, ...
Communications Physics 7 (1), 33, 2024
4 2024 Structurally Constrained Evolutionary Algorithm for the Discovery and Design of Metastable Phases B Wang, KP Hilleke, S Hajinazar, G Frapper, E Zurek
Journal of Chemical Theory and Computation 19 (21), 7960–7971, 2023
2 2023 XtalOpt Version 13: Multi-Objective Evolutionary Search for Novel Functional Materials S Hajinazar, E Zurek
arXiv preprint arXiv:2405.02138, 2024
2024 Development of neural network interatomic potentials for accelerated prediction of stable compounds S Kharabadze, A Thorn, E Sandoval, S Hajinazar, A Kolmogorov
APS March Meeting Abstracts 2022, F47. 007, 2022
2022 Anisotropic superconductivity calculations with the full-bandwidth Migdal-Eliashberg formalism using the EPW code S Hajinazar, H Paudyal, E Margine
APS March Meeting Abstracts 2022, A57. 003, 2022
2022 MAISE package: Materials prediction accelerated with neural network potentials A Kolmogorov, S Hajinazar, E Sandoval
APS March Meeting Abstracts 2019, X19. 002, 2019
2019 Co-evolutionary search for Cu-Pd-Ag nanoparticle ground states accelerated with neural network potentials A Cullo, S Hajinazar, E Sandoval, A Kolmogorov
APS March Meeting Abstracts 2019, G70. 303, 2019
2019 Identification of stable Cu-Pd-Ag nanoparticles using neural network interatomic potentials S Hajinazar, E Sandoval, A Cullo, A Kolmogorov
APS March Meeting Abstracts 2019, E22. 014, 2019
2019 Stratified Construction of Neural Network Potentials and Co-Evolutionary Global Structure Optimization for Acceleration of Ab Initio Materials Prediction S Hajinazar
State University of New York at Binghamton, 2019
2019 Construction of interatomic potentials for multicomponent systems with stratified neural networks S Hajinazar, A Kolmogorov
APS March Meeting Abstracts 2017, C1. 001, 2017
2017 A possible analog to MgB : Discovery of a predicted layered LiB via cold compression A Kolmogorov, S Hajinazar, C Angyal, V Kuznetzov, A Jephcoat
Bulletin of the American Physical Society 61, 2016
2016