Articles with public access mandates - Michael L. ParksLearn more
Available somewhere: 35
Intercomparison of 3D pore-scale flow and solute transport simulation methods
X Yang, Y Mehmani, WA Perkins, A Pasquali, M Schönherr, K Kim, ...
Advances in water resources 95, 176-189, 2016
Mandates: US Department of Energy, German Research Foundation
nPINNs: nonlocal Physics-Informed Neural Networks for a parametrized nonlocal universal Laplacian operator. Algorithms and Applications
G Pang, M D'Elia, M Parks, GE Karniadakis
Journal of Computational Physics 422, 109760, 2020
Mandates: US Department of Energy, US Department of Defense
An asymptotically compatible meshfree quadrature rule for nonlocal problems with applications to peridynamics
N Trask, H You, Y Yu, ML Parks
Computer Methods in Applied Mechanics and Engineering 343, 151-165, 2019
Mandates: US National Science Foundation, US Department of Energy
Modeling shockwaves and impact phenomena with Eulerian peridynamics
SA Silling, ML Parks, JR Kamm, O Weckner, M Rassaian
International Journal of Impact Engineering 107, 47-57, 2017
Mandates: US Department of Energy, US Department of Defense
A scalable consistent second-order SPH solver for unsteady low Reynolds number flows
N Trask, M Maxey, K Kim, M Perego, ML Parks, K Yang, J Xu
Computer Methods in Applied Mechanics and Engineering 289, 155-178, 2015
Mandates: US Department of Energy
A partitioned coupling framework for peridynamics and classical theory: analysis and simulations
Y Yu, FF Bargos, H You, ML Parks, ML Bittencourt, GE Karniadakis
Computer Methods in Applied Mechanics and Engineering 340, 905-931, 2018
Mandates: US National Science Foundation, US Department of Energy, US National …
On the consistency between nearest-neighbor peridynamic discretizations and discretized classical elasticity models
P Seleson, Q Du, ML Parks
Computer Methods in Applied Mechanics and Engineering 311, 698-722, 2016
Mandates: US National Science Foundation, US Department of Energy
Modeling propellant-based stimulation of a borehole with peridynamics
R Panchadhara, PA Gordon, ML Parks
International Journal of Rock Mechanics and Mining Sciences 93, 330-343, 2017
Mandates: US Department of Energy
Enabling fast, stable and accurate peridynamic computations using multi-time-step integration
P Lindsay, ML Parks, A Prakash
Computer Methods in Applied Mechanics and Engineering 306, 382-405, 2016
Mandates: US Department of Energy
Strong Local-Nonlocal Coupling for Integrated Fracture Modeling
DJ Littlewood, SA Silling, JA Mitchell, PD Seleson, SD Bond, ML Parks, ...
Sandia National Laboratories, 2015
Mandates: US Department of Energy
Modeling electrokinetic flows by consistent implicit incompressible smoothed particle hydrodynamics
W Pan, K Kim, M Perego, AM Tartakovsky, ML Parks
Journal of Computational Physics 334, 125-144, 2017
Mandates: US Department of Energy
Inverse problems in heterogeneous and fractured media using peridynamics
D Turner, B van Bloemen Waanders, ML Parks
Journal of Mechanics of Materials and Structures 10 (5), 573-590, 2015
Mandates: US Department of Energy
Krylov subspace recycling for evolving structures
M Bolten, E de Sturler, C Hahn, ML Parks
Computer Methods in Applied Mechanics and Engineering 391, 114222, 2022
Mandates: US National Science Foundation, US Department of Energy, Federal Ministry of …
A Highly-Scalable Implicit SPH Code for Simulating Single-and Multi-phase Flows in Geometrically Complex Bounded Domains.
N Trask, K Kim, A Tartakovsky, M Perego, ML Parks
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2015
Mandates: US Department of Energy
Sensitivity analysis for solutions to heterogeneous nonlocal systems. Theoretical and numerical studies
NE Buczkowski, MD Foss, ML Parks, P Radu
Journal of Peridynamics and Nonlocal Modeling 4 (3), 367-397, 2022
Mandates: US National Science Foundation, US Department of Energy
nPINNs: nonlocal Physics-Informed Neural Networks.
G Pang, M D'Elia, ML Parks, G Karniadakis
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Sandia …, 2021
Mandates: US Department of Energy
Development of Scalable Parallel Implicit SPH using LAMMPS and Trilinos.
K Kim, N Trask, M Maxey, M Perego, ML Parks, K Yang, J Xu
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2015
Mandates: US Department of Energy
Research and Opportunities in the Mathematical Sciences at Sandia National Laboratories.
M Parks
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022
Mandates: US Department of Energy
Computational Aspects of Nonlocal Models.
M Parks
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2021
Mandates: US Department of Energy
CSRI Summer Proceedings 2020
AA Rushdi, ML Parks
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020
Mandates: US Department of Energy
Publication and funding information is determined automatically by a computer program