Gus L. W. Hart

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	All	Since 2015
Citations	5910	4228
h-index	33	26
i10-index	58	47

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Co-authors

Curtarolo, StefanoDuke UniversityVerified email at nietzsche.mems.duke.edu
Alex ZungerUniversity of Colorado ,Boulder,Colorado.Renewable and Sustainable Energy InstituteVerified email at colorado.edu
Lance J. NelsonBrigham Young University - IdahoVerified email at byui.edu
Marco Buongiorno NardelliUniversity Distinguished Research Professor of Physics, Chemistry and Composition, UNTVerified email at unt.edu
Conrad RosenbrockBrigham Young UniversityVerified email at byu.edu
Chandramouli NyshadhamKebotix Inc.Verified email at kebotix.com
Oliver BecksteinCenter for Biological Physics, Department of Physics, Arizona State UniversityVerified email at asu.edu
wahyu setyawanPacific Northwest National Laboratory, Duke University, Florida State UniversityVerified email at pnnl.gov
Kesong YangUniversity of California San DiegoVerified email at ucsd.edu
Volker BlumAssociate Professor, MEMS Department - Duke University, Durham, NCVerified email at duke.edu
Natalio MingoCEA-GrenobleVerified email at cea.fr
Stefano SanvitoTrinity College DublinVerified email at tcd.ie
Vidvuds OzolinsProfessor of Applied Physics, Yale UniversityVerified email at yale.edu
Wiley S MorganGraduate Student Brigham Young UniversityVerified email at byu.edu
Cormac ToherAssistant Research ProfessorVerified email at duke.edu
Jeremy JorgensenBrigham Young UniversityVerified email at byu.edu
Alexander ShapeevSkolkovo Institute of Science and TechnologyVerified email at shapeev.com
Gabor CsanyiProfessor of Molecular Modelling, Engineering Laboratory, University of CambridgeVerified email at cam.ac.uk
Brian KolbPosdoctoral Fellow--University of New Mexico; Visiting Scientist--MITVerified email at mit.edu
Corey OsesDuke UniversityVerified email at duke.edu

Gus L. W. Hart

Brigham Young University, Physics and Astronomy

Verified email at byu.edu - Homepage

Physics machine learning computational materials science first-principles calculations algorithm development


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The high-throughput highway to computational materials design S Curtarolo, GLW Hart, MB Nardelli, N Mingo, S Sanvito, O Levy Nature materials 12 (3), 191-201, 2013	1228	2013
AFLOWLIB. ORG: A distributed materials properties repository from high-throughput ab initio calculations S Curtarolo, W Setyawan, S Wang, J Xue, K Yang, RH Taylor, LJ Nelson, ... Computational Materials Science 58, 227-235, 2012	592	2012
AFLOW: an automatic framework for high-throughput materials discovery S Curtarolo, W Setyawan, GLW Hart, M Jahnatek, RV Chepulskii, ... Computational Materials Science 58, 218-226, 2012	514	2012
First-principles elastic constants and electronic structure of and PtSi O Beckstein, JE Klepeis, GLW Hart, O Pankratov Physical Review B 63 (13), 134112, 2001	404	2001
Evolutionary approach for determining first-principles hamiltonians GLW Hart, V Blum, MJ Walorski, A Zunger Nature materials 4 (5), 391-394, 2005	316	2005
Algorithm for generating derivative structures GLW Hart, RW Forcade Physical Review B 77 (22), 224115, 2008	261	2008
Compressive sensing as a paradigm for building physics models LJ Nelson, GLW Hart, F Zhou, V Ozoliņš Physical Review B 87 (3), 035125, 2013	165	2013
Using genetic algorithms to map first-principles results to model Hamiltonians: Application to the generalized Ising model for alloys V Blum, GLW Hart, MJ Walorski, A Zunger Physical Review B 72 (16), 165113, 2005	142	2005
The AFLOW standard for high-throughput materials science calculations CE Calderon, JJ Plata, C Toher, C Oses, O Levy, M Fornari, A Natan, ... Computational Materials Science 108, 233-238, 2015	130	2015
UNCLE: a code for constructing cluster expansions for arbitrary lattices with minimal user-input D Lerch, O Wieckhorst, GLW Hart, RW Forcade, S Müller Modelling and Simulation in Materials Science and Engineering 17 (5), 055003, 2009	125	2009
Generating derivative structures from multilattices: Algorithm and application to hcp alloys GLW Hart, RW Forcade Physical Review B 80 (1), 014120, 2009	113	2009
Electronic structure of BAs and boride III-V alloys GLW Hart, A Zunger Physical Review B 62 (20), 13522, 2000	106	2000
Hafnium binary alloys from experiments and first principles O Levy, GLW Hart, S Curtarolo Acta Materialia 58 (8), 2887-2897, 2010	93	2010
Comprehensive search for new phases and compounds in binary alloy systems based on platinum-group metals, using a computational first-principles approach GLW Hart, S Curtarolo, TB Massalski, O Levy Physical Review X 3 (4), 041035, 2013	82	2013
Obtaining Ising-like expansions for binary alloys from first principles A Zunger, LG Wang, GLW Hart, M Sanati Modelling and Simulation in Materials Science and Engineering 10 (6), 685, 2002	78	2002
The AFLOW library of crystallographic prototypes: part 1 MJ Mehl, D Hicks, C Toher, O Levy, RM Hanson, G Hart, S Curtarolo Computational Materials Science 136, S1-S828, 2017	76	2017
Ordering tendencies in octahedral MgO-ZnO alloys M Sanati, GLW Hart, A Zunger Physical Review B 68 (15), 155210, 2003	75	2003
Generating derivative structures at a fixed concentration GLW Hart, LJ Nelson, RW Forcade Computational materials science 59, 101-107, 2012	73	2012
Accelerating high-throughput searches for new alloys with active learning of interatomic potentials K Gubaev, EV Podryabinkin, GLW Hart, AV Shapeev Computational Materials Science 156, 148-156, 2019	71	2019
Cluster expansion made easy with Bayesian compressive sensing LJ Nelson, V Ozoliņš, CS Reese, F Zhou, GLW Hart Physical Review B 88 (15), 155105, 2013	70	2013

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