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Turab Lookman
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Accelerated search for materials with targeted properties by adaptive design
D Xue, PV Balachandran, J Hogden, J Theiler, D Xue, T Lookman
Nature communications 7 (1), 1-9, 2016
7992016
Strain-induced metal–insulator phase coexistence in perovskite manganites
KH Ahn, T Lookman, AR Bishop
Nature 428 (6981), 401-404, 2004
7212004
Machine learning assisted design of high entropy alloys with desired property
C Wen, Y Zhang, C Wang, D Xue, Y Bai, S Antonov, L Dai, T Lookman, ...
Acta Materialia 170, 109-117, 2019
6822019
Machine learning bandgaps of double perovskites
G Pilania, A Mannodi-Kanakkithodi, BP Uberuaga, R Ramprasad, ...
Scientific reports 6 (1), 19375, 2016
4922016
Active learning in materials science with emphasis on adaptive sampling using uncertainties for targeted design
T Lookman, PV Balachandran, D Xue, R Yuan
npj Computational Materials 5 (1), 21, 2019
4592019
Machine learning strategy for accelerated design of polymer dielectrics
A Mannodi-Kanakkithodi, G Pilania, TD Huan, T Lookman, R Ramprasad
Scientific reports 6 (1), 1-10, 2016
3782016
Accelerated Discovery of Large Electrostrains in BaTiO3‐Based Piezoelectrics Using Active Learning
R Yuan, Z Liu, PV Balachandran, D Xue, Y Zhou, X Ding, J Sun, D Xue, ...
Advanced materials 30 (7), 1702884, 2018
3612018
Efficient computation of the structural phase behavior of block copolymers
G Tzeremes, KØ Rasmussen, T Lookman, A Saxena
Physical Review E 65 (4), 041806, 2002
3502002
Multi-fidelity machine learning models for accurate bandgap predictions of solids
G Pilania, JE Gubernatis, T Lookman
Computational Materials Science 129, 156-163, 2017
3252017
Chaotic time series analyses of epileptic seizures
GW Frank, T Lookman, MAH Nerenberg, C Essex, J Lemieux, W Blume
Physica D: Nonlinear Phenomena 46 (3), 427-438, 1990
2751990
Experimental search for high-temperature ferroelectric perovskites guided by two-step machine learning
PV Balachandran, B Kowalski, A Sehirlioglu, T Lookman
Nature communications 9 (1), 1668, 2018
2712018
Adaptive strategies for materials design using uncertainties
PV Balachandran, D Xue, J Theiler, J Hogden, T Lookman
Scientific reports 6 (1), 19660, 2016
2502016
Surface phase transitions in polymer systems
K De'Bell, T Lookman
Reviews of modern physics 65 (1), 87, 1993
2391993
An informatics approach to transformation temperatures of NiTi-based shape memory alloys
D Xue, D Xue, R Yuan, Y Zhou, PV Balachandran, X Ding, J Sun, ...
Acta Materialia 125, 532-541, 2017
2312017
Stabilization and strengthening effects of functional groups in two-dimensional titanium carbide
ZH Fu, QF Zhang, D Legut, C Si, TC Germann, T Lookman, SY Du, ...
Physical Review B 94 (10), 104103, 2016
2182016
Predictions of new perovskite compounds by combining machine learning and density functional theory
PV Balachandran, AA Emery, JE Gubernatis, T Lookman, C Wolverton, ...
Physical Review Materials 2 (4), 043802, 2018
2092018
Machine learning in materials design and discovery: Examples from the present and suggestions for the future
JE Gubernatis, T Lookman
Physical Review Materials 2 (12), 120301, 2018
2022018
Onset of irreversibility and chaos in amorphous solids under periodic shear
I Regev, T Lookman, C Reichhardt
Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 88 (6 …, 2013
2002013
Ferroelastic dynamics and strain compatibility
T Lookman, SR Shenoy, KØ Rasmussen, A Saxena, AR Bishop
Physical Review B 67 (2), 024114, 2003
1972003
Finding new perovskite halides via machine learning
G Pilania, PV Balachandran, C Kim, T Lookman
Frontiers in Materials 3, 19, 2016
1952016
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