Artykuły udostępnione publicznie: - Gus L. W. HartWięcej informacji
Dostępne w jakimś miejscu: 31
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
Upoważnienia: Science Foundation Ireland
Machine learning for alloys
GLW Hart, T Mueller, C Toher, S Curtarolo
Nature Reviews Materials 6 (8), 730-755, 2021
Upoważnienia: US National Science Foundation, US Department of Defense
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
Upoważnienia: US Department of Energy
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
Upoważnienia: US Department of Energy, US Department of Defense
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
Upoważnienia: US Department of Energy, US Department of Defense
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
Upoważnienia: German Research Foundation
Machine-learned multi-system surrogate models for materials prediction
C Nyshadham, M Rupp, B Bekker, AV Shapeev, T Mueller, ...
npj Computational Materials 5 (1), 51, 2019
Upoważnienia: US National Science Foundation, US Department of Defense, European Commission
The AFLOW library of crystallographic prototypes: part 2
D Hicks, MJ Mehl, E Gossett, C Toher, O Levy, RM Hanson, G Hart, ...
Computational Materials Science 161, S1-S1011, 2019
Upoważnienia: US Department of Defense
Machine-learned interatomic potentials for alloys and alloy phase diagrams
CW Rosenbrock, K Gubaev, AV Shapeev, LB Pártay, N Bernstein, ...
npj Computational Materials 7 (1), 24, 2021
Upoważnienia: US Department of Defense
Discovering the building blocks of atomic systems using machine learning: application to grain boundaries
CW Rosenbrock, ER Homer, G Csányi, GLW Hart
NPJ Computational Materials 3 (1), 29, 2017
Upoważnienia: US Department of Energy, US Department of Defense
A computational high-throughput search for new ternary superalloys
C Nyshadham, C Oses, JE Hansen, I Takeuchi, S Curtarolo, GLW Hart
Acta Materialia 122, 438-447, 2017
Upoważnienia: US National Science Foundation, US Department of Defense
Efficiency of generalized regular k-point grids
WS Morgan, JJ Jorgensen, BC Hess, GLW Hart
Computational Materials Science 153, 424-430, 2018
Upoważnienia: US Department of Defense
Robustness of the cluster expansion: Assessing the roles of relaxation and numerical error
AH Nguyen, CW Rosenbrock, CS Reese, GLW Hart
Physical Review B 96 (1), 014107, 2017
Upoważnienia: US Department of Defense
Machine-learning informed representations for grain boundary structures
ER Homer, DM Hensley, CW Rosenbrock, AH Nguyen, GLW Hart
Frontiers in Materials 6, 168, 2019
Upoważnienia: US Department of Energy, US Department of Defense
Revisiting the revised Ag-Pt phase diagram
GLW Hart, LJ Nelson, RR Vanfleet, BJ Campbell, MHF Sluiter, ...
Acta Materialia 124, 325-332, 2017
Upoważnienia: US National Science Foundation, US Department of Energy
Examination of computed aluminum grain boundary structures and energies that span the 5D space of crystallographic character
ER Homer, GLW Hart, CB Owens, DM Hensley, JC Spendlove, LH Serafin
ACTA MATERIALIA 234, 2022
Upoważnienia: US National Science Foundation
Tensor-reduced atomic density representations
JP Darby, DP Kovács, I Batatia, MA Caro, GLW Hart, C Ortner, G Csányi
Physical Review Letters 131 (2), 028001, 2023
Upoważnienia: Natural Sciences and Engineering Research Council of Canada, UK Engineering …
Ordering tendencies in the binary alloys of Rh, Pd, Ir, and Pt: Density functional calculations
B Kolb, S Müller, DB Botts, GLW Hart
Physical Review B—Condensed Matter and Materials Physics 74 (14), 144206, 2006
Upoważnienia: German Research Foundation
The AFLOW fleet for materials discovery
C Toher, C Oses, D Hicks, E Gossett, F Rose, P Nath, D Usanmaz, ...
Handbook of Materials Modeling: Methods: Theory and Modeling, 1785-1812, 2020
Upoważnienia: US National Science Foundation, US Department of Energy, US Department of …
Stability and instability of long-period superstructures in binary Cu–Pd alloys: A first principles study
S Bärthlein, E Winning, GLW Hart, S Müller
Acta Materialia 57 (5), 1660-1665, 2009
Upoważnienia: German Research Foundation
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