Nishant Panda
Nishant Panda
Information Sciences, CCS-3, Los Alamos National Lab
Verified email at lanl.gov
Title
Cited by
Cited by
Year
Discontinuous Galerkin methods for modeling hurricane storm surge
C Dawson, EJ Kubatko, JJ Westerink, C Trahan, C Mirabito, C Michoski, ...
Advances in Water Resources 34 (9), 1165-1176, 2011
862011
Boussinesq–Green–Naghdi rotational water wave theory
Y Zhang, AB Kennedy, N Panda, C Dawson, JJ Westerink
Coastal Engineering 73, 13-27, 2013
582013
Discontinuous Galerkin methods for solving Boussinesq–Green–Naghdi equations in resolving non-linear and dispersive surface water waves
N Panda, C Dawson, Y Zhang, AB Kennedy, JJ Westerink, AS Donahue
Journal of Computational Physics 273, 572-588, 2014
432014
Generating–absorbing sponge layers for phase-resolving wave models
Y Zhang, AB Kennedy, N Panda, C Dawson, JJ Westerink
Coastal Engineering 84, 1-9, 2014
322014
Rotational surf zone modeling for O (μ4) Boussinesq–Green–Naghdi systems
Y Zhang, AB Kennedy, AS Donahue, JJ Westerink, N Panda, C Dawson
Ocean Modelling 79, 43-53, 2014
282014
A Boussinesq-scaled, pressure-Poisson water wave model
AS Donahue, Y Zhang, AB Kennedy, JJ Westerink, N Panda, C Dawson
Ocean Modelling 86, 36-57, 2015
212015
A hybridized discontinuous Galerkin method for the nonlinear Korteweg–de Vries equation
A Samii, N Panda, C Michoski, C Dawson
Journal of Scientific Computing 68 (1), 191-212, 2016
132016
A probabilistic clustering approach for identifying primary subnetworks of discrete fracture networks with quantified uncertainty
D Osthus, JD Hyman, S Karra, N Panda, G Srinivasan
SIAM/ASA Journal on Uncertainty Quantification 8 (2), 573-600, 2020
52020
Surrogate models for estimating failure in brittle and quasi-brittle materials
MK Mudunuru, N Panda, S Karra, G Srinivasan, VT Chau, E Rougier, ...
Applied Sciences 9 (13), 2706, 2019
42019
New Boussinesq system for nonlinear water waves
Y Zhang, AB Kennedy, J Westerink, N Panda
Coastal Engineering Proceedings, 4-4, 2012
32012
StressNet-Deep learning to predict stress with fracture propagation in brittle materials
Y Wang, D Oyen, WG Guo, A Mehta, CB Scott, N Panda, ...
npj Materials Degradation 5 (1), 1-10, 2021
22021
Accelerating high-strain continuum-scale brittle fracture simulations with machine learning
MG Fernández-Godino, N Panda, D O’Malley, K Larkin, A Hunter, ...
Computational Materials Science 186, 109959, 2021
22021
Mesoscale informed parameter estimation through machine learning: A case-study in fracture modeling
N Panda, D Osthus, G Srinivasan, D O'Malley, V Chau, D Oyen, ...
Journal of Computational Physics 420, 109719, 2020
22020
Estimating failure in brittle materials using graph theory
MK Mudunuru, N Panda, S Karra, G Srinivasan, VT Chau, E Rougier, ...
arXiv preprint arXiv:1807.11537, 2018
22018
Accelerating continuum-scale brittle fracture simulations with machine learning
MG Fernández-Godino, N Panda, D O'Malley, K Larkin, A Hunter, ...
arXiv preprint arXiv:2001.11328, 2020
12020
A Stochastic Inverse Problem for Multiscale Models
N Panda, T Butler, D Estep, L Graham, C Dawson
International Journal for Multiscale Computational Engineering 15 (3), 2017
12017
A data-driven non-linear assimilation framework with neural networks
N Panda, MG Fernández-Godino, HC Godinez, C Dawson
Computational Geosciences 25 (1), 233-242, 2021
2021
Physics-Informed Spatiotemporal Deep Learning for Emulating Coupled Dynamical Systems
A Mehta, C Scott, DA Oyen, N Panda, G Srinivasan
Los Alamos National Lab.(LANL), Los Alamos, NM (United States), 2020
2020
Accelerating High-Strain Continuum-Scale Brittle Fracture Simulations with Machine Learning
M Giselle Fernández-Godino, N Panda, D O'Malley, K Larkin, A Hunter, ...
arXiv e-prints, arXiv: 2001.11328, 2020
2020
Flyer Plate Continuum Simulations Informed with Machine Learning Crack Evolution
MG Fernandez-Godino, N Panda, D O'Malley, KS Hickmann, DA Oyen, ...
AIAA Scitech 2020 Forum, 1410, 2020
2020
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