Kipton Barros
Kipton Barros
Staff scientist, Theoretical Division, Los Alamos National Laboratory
確認したメール アドレス: lanl.gov - ホームページ
タイトル
引用先
引用先
Solving Lattice QCD systems of equations using mixed precision solvers on GPUs
MA Clark, R Babich, K Barros, RC Brower, C Rebbi
Computer Physics Communications 181 (9), 1517-1528, 2010
3882010
Approaching coupled cluster accuracy with a general-purpose neural network potential through transfer learning
JS Smith, BT Nebgen, R Zubatyuk, N Lubbers, C Devereux, K Barros, ...
Nature communications 10 (1), 1-8, 2019
153*2019
Machine learning predicts laboratory earthquakes
B Rouet‐Leduc, C Hulbert, N Lubbers, K Barros, CJ Humphreys, ...
Geophysical Research Letters 44 (18), 9276-9282, 2017
1452017
Hierarchical modeling of molecular energies using a deep neural network
N Lubbers, JS Smith, K Barros
The Journal of chemical physics 148 (24), 241715, 2018
1282018
Dielectric effects in the self-assembly of binary colloidal aggregates
K Barros, E Luijten
Physical review letters 113 (1), 017801, 2014
842014
Freezing into stripe states in two-dimensional ferromagnets and crossing probabilities in critical percolation
K Barros, PL Krapivsky, S Redner
Physical Review E 80 (4), 040101, 2009
692009
Inferring low-dimensional microstructure representations using convolutional neural networks
N Lubbers, T Lookman, K Barros
Physical Review E 96 (5), 052111, 2017
672017
Discovering a transferable charge assignment model using machine learning
AE Sifain, N Lubbers, BT Nebgen, JS Smith, AY Lokhov, O Isayev, ...
The journal of physical chemistry letters 9 (16), 4495-4501, 2018
562018
Transferable dynamic molecular charge assignment using deep neural networks
B Nebgen, N Lubbers, JS Smith, AE Sifain, A Lokhov, O Isayev, ...
Journal of chemical theory and computation 14 (9), 4687-4698, 2018
532018
Efficient Langevin simulation of coupled classical fields and fermions
K Barros, Y Kato
Physical Review B 88 (23), 235101, 2013
532013
Efficient and accurate simulation of dynamic dielectric objects
K Barros, D Sinkovits, E Luijten
The Journal of chemical physics 140 (6), 064903, 2014
512014
Learning molecular energies using localized graph kernels
G Ferré, T Haut, K Barros
The Journal of chemical physics 146 (11), 114107, 2017
452017
Vortex crystals with chiral stripes in itinerant magnets
R Ozawa, S Hayami, K Barros, GW Chern, Y Motome, CD Batista
Journal of the Physical Society of Japan 85 (10), 103703, 2016
452016
Exotic magnetic orderings in the kagome Kondo-lattice model
K Barros, JWF Venderbos, GW Chern, CD Batista
Physical Review B 90 (24), 245119, 2014
382014
Direct observation of stringlike collective motion in a two-dimensional driven granular fluid
CR Berardi, K Barros, JF Douglas, W Losert
Physical Review E 81 (4), 041301, 2010
372010
Optimisation of GaN LEDs and the reduction of efficiency droop using active machine learning
B Rouet-Leduc, K Barros, T Lookman, CJ Humphreys
Scientific reports 6, 24862, 2016
272016
Comparison of efficient techniques for the simulation of dielectric objects in electrolytes
Z Gan, H Wu, K Barros, Z Xu, E Luijten
Journal of Computational Physics 291, 317-333, 2015
272015
Blasting through lattice calculations using CUDA
K Barros, R Babich, R Brower, MA Clark, C Rebbi
arXiv preprint arXiv:0810.5365, 2008
272008
Spatial adaptive sampling in multiscale simulation
B Rouet-Leduc, K Barros, E Cieren, V Elango, C Junghans, T Lookman, ...
Computer Physics Communications 185 (7), 1857-1864, 2014
242014
Distributed database kriging for adaptive sampling (D2KAS)
D Roehm, RS Pavel, K Barros, B Rouet-Leduc, AL McPherson, ...
Computer Physics Communications 192, 138-147, 2015
222015
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