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Multi-objective optimization and quantum hybridization of equivariant deep learning interatomic potentials2026 Computational Materials Science article Materials Science Machine Learning in Materials Science Open access
G. Laskaris, D. Morozov, D. Tarpanov, A. Seth, J. Procelewska, Gopalakrishnan Sai Gautam, +3 more
2citations -
An automated approach for developing neural network interatomic potentials with FLAME2021 Computational Materials Science article Materials Science Machine Learning in Materials Science Open access
Hossein Mirhosseini, Hossein Tahmasbi, Sai Ram Kuchana, S. Alireza Ghasemi, Thomas D. Kühne
12citations -
Multi-objective optimization and quantum hybridization of equivariant deep learning interatomic potentials2026 Jyväskylä University Digital Archive (University of Jyväskylä) article Materials Science Machine Learning in Materials Science Open access
G. Laskaris, D. Morozov, D. Tarpanov, A. Seth, J. Procelewska, Gautam G. Sai, +3 more
0citations -
Defects in magnesium and its alloys by atomistic simulation: Assessment of semi-empirical potentials2024 Computational Materials Science article Materials Science Magnesium Alloys: Properties and Applications Open access
Hexin Wang, Julien Guénolé, Sandra Korte‐Kerzel, Talal Al‐Samman, Zhuocheng Xie
11citations -
Angular-dependent interatomic potential for large-scale simulation of bcc and hcp multi-component refractory alloys2025 Computational Materials Science article Materials Science Fusion materials and technologies Open access
Sergey Starikov, Petr Grigorev, Sang-Hyeok Lee, Zhuocheng Xie, Pär A.T. Olsson
7citations -
Angular-dependent interatomic potential for large-scale simulation of bcc and hcp multi-component refractory alloys2026 Computational Materials Science article Materials Science Fusion materials and technologies Open access
Sergey Starikov, Petr Grigorev, Sang-Hyeok Lee, Zhuocheng Xie, Pär A.T. Olsson
0citations -
The usefulness of molecular-dynamics simulations in clarifying the activation enthalpy of oxygen-vacancy migration in the perovskite oxide BaTiO 32020 Physical Chemistry Chemical Physics article Materials Science Ferroelectric and Piezoelectric Materials
Johannes Kaub, Joe Kler, Stephen C. Parker, Roger A. De Souza
24citations -
A first-principles and machine learning combined method to investigate the interfacial friction between corrugated graphene2021 Modelling and Simulation in Materials Science and Engineering article Materials Science Machine Learning in Materials Science
Zugang Liu, Xinpeng Zhao, Heyuan Wang, Yuan Ma, Lei Gao, Haiyou Huang, +3 more
9citations -
Scattering makes a difference in circular dichroic angle-resolved photoemission2025 Physical review. B./Physical review. B article Materials Science Electron and X-Ray Spectroscopy Techniques Open access
Honey Boban, Mohammed Qahosh, Xiao Xia Hou, Tomasz Sobol, Edyta Beyer, Magdalena Szczepanik, +13 more
7citations -
Designing Phase-Change Superlattices via Selectively Modulating Stochasticity and Covalency to Efficiently Implement Stable Multi-Level Memory2026 ACS Applied Energy Materials article Materials Science Phase-change materials and chalcogenides
Hyeonwook Lim, Chang Woo Lee, Kyu-Jin Jo, Dasol Kim, Ju Hwan Park, Kwangsik Jeong, +6 more
0citations
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