Nicholas Lubbers
Nicholas Lubbers
Staff Scientist, Computer, Computational, and Statistical Sciences Division, LANL
Dirección de correo verificada de bu.edu
Título
Citado por
Citado por
Año
The effective field theory of dark matter direct detection
AL Fitzpatrick, W Haxton, E Katz, N Lubbers, Y Xu
Journal of Cosmology and Astroparticle Physics 2013 (02), 004, 2013
4972013
Less is more: Sampling chemical space with active learning
JS Smith, B Nebgen, N Lubbers, O Isayev, AE Roitberg
The Journal of Chemical Physics 148 (24), 241733, 2018
2392018
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
202*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
1782017
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
1552018
Inferring low-dimensional microstructure representations using convolutional neural networks
N Lubbers, T Lookman, K Barros
Physical Review E 96 (5), 052111, 2017
752017
Model independent direct detection analyses
AL Fitzpatrick, W Haxton, E Katz, N Lubbers, Y Xu
arXiv preprint arXiv:1211.2818, 2012
742012
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
632018
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
602018
Embedding Hard Physical Constraints in Neural Network Coarse-Graining of 3D Turbulence
AT Mohan, N Lubbers, D Livescu, M Chertkov
arXiv preprint arXiv:2002.00021, 2020
32*2020
The ANI-1ccx and ANI-1x data sets, coupled-cluster and density functional theory properties for molecules
JS Smith, R Zubatyuk, B Nebgen, N Lubbers, K Barros, AE Roitberg, ...
Scientific Data 7 (1), 1-10, 2020
252020
Earthquake Catalog‐Based Machine Learning Identification of Laboratory Fault States and the Effects of Magnitude of Completeness
N Lubbers, DC Bolton, J Mohd‐Yusof, C Marone, K Barros, PA Johnson
Geophysical Research Letters 45 (24), 13,269-13,276, 2018
172018
On generalized harmonic number sums
MW Coffey, N Lubbers
Applied Mathematics and Computation 217 (2), 689-698, 2010
172010
Machine learning for molecular dynamics with strongly correlated electrons
H Suwa, JS Smith, N Lubbers, CD Batista, GW Chern, K Barros
Physical Review B 99 (16), 161107, 2019
132019
Modeling nanoconfinement effects using active learning
JE Santos, M Mehana, H Wu, M Prodanovic, Q Kang, N Lubbers, ...
The Journal of Physical Chemistry C 124 (40), 22200-22211, 2020
92020
The Effect of Growth On Equality in Models of the Economy
K Liu, N Lubbers, W Klein, J Tobochnik, B Boghosian, H Gould
arXiv preprint arXiv:1305.0794, 2013
82013
Machine Learned H\" uckel Theory: Interfacing Physics and Deep Neural Networks
T Zubatyuk, B Nebgen, N Lubbers, JS Smith, R Zubatyuk, G Zhou, C Koh, ...
arXiv preprint arXiv:1909.12963, 2019
62019
Machine learning approaches for structural and thermodynamic properties of a Lennard-Jones fluid
GT Craven, N Lubbers, K Barros, S Tretiak
The Journal of Chemical Physics 153 (10), 104502, 2020
52020
Graphics Processing Unit-Accelerated Semiempirical Born Oppenheimer Molecular Dynamics Using PyTorch
G Zhou, B Nebgen, N Lubbers, W Malone, AMN Niklasson, S Tretiak
Journal of Chemical Theory and Computation 16 (8), 4951-4962, 2020
42020
Ex Machina Determination of Structural Correlation Functions
GT Craven, N Lubbers, K Barros, S Tretiak
The journal of physical chemistry letters 11 (11), 4372-4378, 2020
42020
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20