Aria Mansouri Tehrani
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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
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
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
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
Hard and superhard materials: a computational perspective
AM Tehrani, J Brgoch
Journal of Solid State Chemistry 271, 47-58, 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
Machine learning for structural materials
TD Sparks, SK Kauwe, ME Parry, AM Tehrani, J Brgoch
Annual Review of Materials Research 50, 27-48, 2020
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
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
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
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
Untangling the structural, magnetic dipole, and charge multipolar orders in
AM Tehrani, NA Spaldin
Physical Review Materials 5 (10), 104410, 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
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
Charge multipole correlations and order in
AM Tehrani, JR Soh, J Pásztorová, ME Merkel, I Živković, HM Rĝnnow, ...
Physical Review Research 5 (1), L012010, 2023
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
Mechanism for unconventional nonlinear elasticity
AM Tehrani, A Lim, J Brgoch
Physical Review B 100 (6), 060102, 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
Accelerated search for new ferroelectric materials
R Frey, BF Grosso, P Fandré, B Mächler, NA Spaldin, AM Tehrani
Physical Review Research 5 (2), 023122, 2023
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 Rĝnnow
Journal of Physics: Condensed Matter 35 (24), 245603, 2023
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