Turab Lookman

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

Turab Lookman

Los Alamos National Laboratory

Verified email at lanl.gov

Computational Materials Science: Ferroics Soft Matter Applied Mathematics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	758	2016
Strain-induced metal–insulator phase coexistence in perovskite manganites KH Ahn, T Lookman, AR Bishop Nature 428 (6981), 401-404, 2004	714	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	616	2019
Machine learning bandgaps of double perovskites G Pilania, A Mannodi-Kanakkithodi, BP Uberuaga, R Ramprasad, ... Scientific reports 6 (1), 19375, 2016	476	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	411	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	361	2016
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	345	2002
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	332	2018
Multi-fidelity machine learning models for accurate bandgap predictions of solids G Pilania, JE Gubernatis, T Lookman Computational Materials Science 129, 156-163, 2017	314	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	271	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	259	2018
Adaptive strategies for materials design using uncertainties PV Balachandran, D Xue, J Theiler, J Hogden, T Lookman Scientific reports 6 (1), 19660, 2016	241	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	213	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	211	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	197	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	192	2013
Finding new perovskite halides via machine learning G Pilania, PV Balachandran, C Kim, T Lookman Frontiers in Materials 3, 19, 2016	185	2016
Martensitic textures: Multiscale consequences of elastic compatibility SR Shenoy, T Lookman, A Saxena, AR Bishop Physical Review B 60 (18), R12537, 1999	185	1999

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