Predicting the band gaps of inorganic solids by machine learning Y Zhuo, A Mansouri Tehrani, J Brgoch The journal of physical chemistry letters 9 (7), 1668-1673, 2018 | 380 | 2018 |
Machine learning directed search for ultraincompressible, superhard materials A Mansouri Tehrani, AO Oliynyk, M Parry, Z Rizvi, S Couper, F Lin, ... Journal of the American Chemical Society 140 (31), 9844-9853, 2018 | 278 | 2018 |
Identifying an efficient, thermally robust inorganic phosphor host via machine learning Y Zhuo, A Mansouri Tehrani, AO Oliynyk, AC Duke, J Brgoch Nature communications 9 (1), 4377, 2018 | 267 | 2018 |
Artificial intelligence for science in quantum, atomistic, and continuum systems X Zhang, L Wang, J Helwig, Y Luo, C Fu, Y Xie, M Liu, Y Lin, Z Xu, K Yan, ... arXiv preprint arXiv:2307.08423, 2023 | 60 | 2023 |
Finding the next superhard material through ensemble learning Z Zhang, A Mansouri Tehrani, AO Oliynyk, B Day, J Brgoch Advanced Materials 33 (5), 2005112, 2021 | 58 | 2021 |
Hard and superhard materials: A computational perspective AM Tehrani, J Brgoch Journal of Solid State Chemistry 271, 47-58, 2019 | 53 | 2019 |
Intrinsic Defects Drive Persistent Luminescence in Monoclinic SrAl2O4:Eu2+ E Finley, A Mansouri Tehrani, J Brgoch The Journal of Physical Chemistry C 122 (28), 16309-16314, 2018 | 53 | 2018 |
Machine learning for structural materials TD Sparks, SK Kauwe, ME Parry, AM Tehrani, J Brgoch Annual Review of Materials Research 50, 27-48, 2020 | 39 | 2020 |
Balancing Mechanical Properties and Sustainability in the Search for Superhard Materials A Mansouri Tehrani, L Ghadbeigi, J Brgoch, TD Sparks Integrating Materials and Manufacturing Innovation 6 (1), 1-8, 2017 | 26 | 2017 |
Influencing the martensitic phase transformation in NiTi through point defects A Mansouri Tehrani, H Shahrokhshahi, N Parvin, J Brgoch Journal of Applied Physics 118 (1), 2015 | 24 | 2015 |
Impact of Vacancies on the Mechanical Properties of Ultraincompressible, Hard Rhenium Subnitrides: Re2N and Re3N A Mansouri Tehrani, J Brgoch Chemistry of Materials 29 (6), 2542-2549, 2017 | 21 | 2017 |
Untangling the structural, magnetic dipole, and charge multipolar orders in A Mansouri Tehrani, NA Spaldin Physical Review Materials 5 (10), 104410, 2021 | 19 | 2021 |
Targeting productive composition space through machine-learning-directed inorganic synthesis S Lotfi, Z Zhang, G Viswanathan, K Fortenberry, AM Tehrani, J Brgoch Matter 3 (1), 261-272, 2020 | 15 | 2020 |
Charge multipole correlations and order in A Mansouri Tehrani, JR Soh, J Pásztorová, ME Merkel, I Živković, ... Physical Review Research 5 (1), L012010, 2023 | 13 | 2023 |
Atomic substitution to balance hardness, ductility, and sustainability in molybdenum tungsten borocarbide A Mansouri Tehrani, AO Oliynyk, Z Rizvi, S Lotfi, M Parry, TD Sparks, ... Chemistry of Materials 31 (18), 7696-7703, 2019 | 12 | 2019 |
Tailoring the mechanical properties of earth-abundant transition metal borides via bonding optimization Z Zhang, AM Tehrani, J Brgoch The Journal of Physical Chemistry C 124 (8), 4430-4437, 2020 | 6 | 2020 |
Mechanism for unconventional nonlinear elasticity A Mansouri Tehrani, A Lim, J Brgoch Physical Review B 100 (6), 060102, 2019 | 6 | 2019 |
Determining a Structural Distortion and Anion Ordering in La2Si4N6C via Computation and Experiment M Hermus, A Mansouri Tehrani, J Brgoch Inorganic Chemistry 55 (18), 9454-9460, 2016 | 6 | 2016 |
Experimental and theoretical thermodynamic studies in Ba2MgReO6—the ground state in the context of Jahn-Teller effect J Pásztorová, AM Tehrani, I Živković, NA Spaldin, HM Rønnow Journal of Physics: Condensed Matter 35 (24), 245603, 2023 | 5 | 2023 |
Artificial intelligence for science in quantum, atomistic, and continuum systems. arXiv 2023 X Zhang, L Wang, J Helwig, Y Luo, C Fu, Y Xie, M Liu, Y Lin, Z Xu, K Yan, ... arXiv preprint arXiv:2307.08423, 0 | 5 | |