Turab Lookman

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Xue DezhenXian Jiaotong UniversityAdresse e-mail validée de xjtu.edu.cn
Prasanna V BalachandranUniversity of VirginiaAdresse e-mail validée de virginia.edu
Ruihao YuanNorthwestern Polytechnical UniversityAdresse e-mail validée de nwpu.edu.cn
Ghanshyam PilaniaSenior Engineer, GE Aerospace ResearchAdresse e-mail validée de ge.com
Kim O. RasmussenTheoretical Division, Los Alamos National LaboratoryAdresse e-mail validée de lanl.gov
R. C. AlbersLos Alamos National LaboratoryAdresse e-mail validée de lanl.gov
James TheilerTechnical Staff Member, Los Alamos National LaboratoryAdresse e-mail validée de lanl.gov
Keith De'BellSt. Francis Xavier UniversityAdresse e-mail validée de stfx.ca
Curt A. BronkhorstUniversity of Wisconsin - MadisonAdresse e-mail validée de wisc.edu
Rajeev AhluwaliaSenior Scientist, Institute of High Performance ComputingAdresse e-mail validée de ihpc.a-star.edu.sg
Ellen CerretaALDPS Los Alamos National LabAdresse e-mail validée de lanl.gov
Wenwu CaoThe Pennsylvania State UniversityAdresse e-mail validée de psu.edu
Francis AlexanderArgonne National LaboratoryAdresse e-mail validée de anl.gov
Arun Mannodi-KanakkithodiPurdue UniversityAdresse e-mail validée de purdue.edu
kazuhiro OTSUKAProf.Emeritus, University of TsukubaAdresse e-mail validée de mail1.accsnet.ne.jp
Roman GrögerInstitute of Physics of Materials, Czech Academy of SciencesAdresse e-mail validée de ipm.cz
Quanxi JiaUniversity at Buffalo - The State University of New York; Los Alamos National Laboratory (former)Adresse e-mail validée de buffalo.edu
Ido RegevBen Gurion UniversityAdresse e-mail validée de bgu.ac.il
Russell ThompsonUniversity of WaterlooAdresse e-mail validée de uwaterloo.ca
Hemantha Kumar YedduAssociate Professor, LUT University, FinlandAdresse e-mail validée de lut.fi

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Turab Lookman

Los Alamos National Laboratory

Adresse e-mail validée de lanl.gov

Computational Materials Science: Ferroics Soft Matter Applied Mathematics


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	780	2016
Strain-induced metal–insulator phase coexistence in perovskite manganites KH Ahn, T Lookman, AR Bishop Nature 428 (6981), 401-404, 2004	718	2004
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	655	2019
Machine learning bandgaps of double perovskites G Pilania, A Mannodi-Kanakkithodi, BP Uberuaga, R Ramprasad, ... Scientific reports 6 (1), 19375, 2016	485	2016
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	439	2019
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	373	2016
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	351	2018
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	347	2002
Multi-fidelity machine learning models for accurate bandgap predictions of solids G Pilania, JE Gubernatis, T Lookman Computational Materials Science 129, 156-163, 2017	317	2017
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	275	1990
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	268	2018
Adaptive strategies for materials design using uncertainties PV Balachandran, D Xue, J Theiler, J Hogden, T Lookman Scientific reports 6 (1), 19660, 2016	246	2016
Surface phase transitions in polymer systems K De'Bell, T Lookman Reviews of modern physics 65 (1), 87, 1993	239	1993
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	222	2017
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	215	2016
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	206	2018
Ferroelastic dynamics and strain compatibility T Lookman, SR Shenoy, KØ Rasmussen, A Saxena, AR Bishop Physical Review B 67 (2), 024114, 2003	196	2003
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	195	2013
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	193	2018
Finding new perovskite halides via machine learning G Pilania, PV Balachandran, C Kim, T Lookman Frontiers in Materials 3, 19, 2016	193	2016

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