Two-Dimensional Hexagonal Sheet of TiO2 HA Eivari, SA Ghasemi, H Tahmasbi, S Rostami, S Faraji, R Rasoulkhani, ... Chemistry of Materials 29 (20), 8594-8603, 2017 | 46 | 2017 |
Energy landscape of ZnO clusters and low-density polymorphs R Rasoulkhani, H Tahmasbi, SA Ghasemi, S Faraji, S Rostami, M Amsler Physical Review B 96 (6), 064108, 2017 | 19 | 2017 |
FLAME: a library of atomistic modeling environments M Amsler, S Rostami, H Tahmasbi, ER Khajehpasha, S Faraji, ... Computer Physics Communications 256, 107415, 2020 | 14 | 2020 |
Large Scale Structure Prediction of Near-Stoichiometric Magnesium Oxide Based on a Machine-Learned Interatomic Potential: Novel Crystalline Phases and Oxygen-Vacancy Ordering H Tahmasbi, S Goedecker, SA Ghasemi arXiv preprint arXiv:2104.05853, 2021 | | 2021 |
IR Spectroscopic Characterization of H2 Adsorption on Cationic Cun+ (n = 4–7) Clusters OV Lushchikova, H Tahmasbi, S Reijmer, R Platte, J Meyer, JM Bakker The Journal of Physical Chemistry A, 2021 | | 2021 |
An automated approach for developing neural network interatomic potentials with FLAME H Mirhosseini, H Tahmasbi, SR Kuchana, SA Ghasemi, TD Kühne arXiv preprint arXiv:2102.04085, 2021 | | 2021 |
Interatomic Potentials Based on Artificial Neural Network: Structural and Thermal Properties of Matters H Tahmasbi Institute for Advanced Studies in Basic Sciences (IASBS), PhD-Dissertation, 2019 | | 2019 |