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Publication | Type | Year |
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Machine-learning of nonlocal kernels for anomalous subsurface transport from breakthrough curves |
Report – 2022 Report | 2022 |
Nonlocal Kernel Network (NKN): a Stable and Resolution-Independent Deep Neural Network |
Report – 2022 Report | 2022 |
Peridynamic Model for Single-Layer Graphene Obtained from Coarse Grained Bond ForcesJournal of Peridynamics and Nonlocal Modeling
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Journal Article – 2021 Journal Article | 2021 |
An optimization-based strategy for peridynamic-FEM coupling and for the prescription of nonlocal boundary conditions |
Report – 2021 Report | 2021 |
Data driven learning of robust nonlocalmodels |
SAND Report – 2021 SAND Report | 2021 |
ASCEND: Asymptotically compatible strong form foundations for nonlocal discretization |
SAND Report – 2021 SAND Report | 2021 |
Peridynamic Model for Single-Layer Graphene Obtained from Coarse Grained Bond Forces |
Report – 2021 Report | 2021 |
A FETI approach to domain decomposition for meshfree discretizations of nonlocal problemsComputer Methods in Applied Mechanics and Engineering |
Journal Article – 2021 Journal Article | 2021 |
A fractional model for anomalous diffusion with increased variability. Analysis, algorithms and applications to interface problemsNumerical Methods for Partial Differential Equations
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Journal Article – 2021 Journal Article | 2021 |
A data-driven peridynamic continuum model for upscaling molecular dynamics |
Report – 2021 Report | 2021 |
nPINNS: Nonlocal Physics-Informed Neural Networks16th U.S. National Congress on Computational Mechanics
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Conference Presentation – 2021 Conference Presentation | 2021 |
A data-driven peridynamic continuum model for upscaling molecular dynamics2021 MLDL workshop
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Conference Presentation – 2021 Conference Presentation | 2021 |
An optimization-based approach to parameter learning for fractional type nonlocal modelsComputer and Mathematics with Applications |
Journal Article – 2021 Journal Article | 2021 |
Coarse-grained peridynamic model for grapheneSIAM Conference on Mathematical Aspects of Materials Science |
Conference Presentation – 2021 Conference Presentation | 2021 |
nPINNS: Nonlocal Physics-Informed Neural NetworksSIAM Conference on Computational Science and Engineering (CSE21) |
Conference Presentation – 2021 Conference Presentation | 2021 |
Numerical methods for nonlocal and fractional modelsActa Numerica |
Journal Article – 2021 Journal Article | 2021 |
Coarse-grained peridynamic model for grapheneSIAM Conference on Mathematical Aspects of Materials Science
|
Abstract – 2021 Abstract | 2021 |
nPINNs: nonlocal Physics-Informed Neural NetworksOne Nonlocal World |
Conference Presentation – 2021 Conference Presentation | 2021 |
A Fast Solver for the Fractional Helmholtz EquationSIAM Journal on Scientific Computing |
Journal Article – 2021 Journal Article | 2021 |
Nonlocal operators with variable coefficientsOne Nonlocal World, Opening Event |
Conference Poster – 2021 Conference Poster | 2021 |
Data-driven learning of nonlocal models: from high-fidelity simulations to constitutive laws |
Report – 2020 Report | 2020 |
Data-driven learning of nonlocal models: from high-fidelity simulations to constitutive lawsWorkshop on Mathematical Machine Learning and Application |
Conference Poster – 2020 Conference Poster | 2020 |
An optimization-based approach to parameter learning for fractional type nonlocal models |
Report – 2020 Report | 2020 |
A general framework for substructuring-based domain decomposition methods for models having nonlocal interactions |
Report – 2020 Report | 2020 |
A general framework for substructuring-based domain decomposition methods for models having nonlocal interactions |
Report – 2020 Report | 2020 |
Document Title | Type | Year |
Results 1–25 of 89