Stewart Silling

According to our database1, Stewart Silling authored at least 8 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Heterogeneous Peridynamic Neural Operators: Discover Biotissue Constitutive Law and Microstructure From Digital Image Correlation Measurements.
CoRR, 2024

Peridynamic Neural Operators: A Data-Driven Nonlocal Constitutive Model for Complex Material Responses.
CoRR, 2024

2023
Towards a unified nonlocal, peridynamics framework for the coarse-graining of molecular dynamics data with fractures.
CoRR, 2023

2022
Nonlocal kernel network (NKN): A stable and resolution-independent deep neural network.
J. Comput. Phys., 2022

Bayesian Nonlocal Operator Regression (BNOR): A Data-Driven Learning Framework of Nonlocal Models with Uncertainty Quantification.
CoRR, 2022

2021
A data-driven peridynamic continuum model for upscaling molecular dynamics.
CoRR, 2021

Data-driven Learning of Nonlocal Models: from high-fidelity simulations to constitutive laws.
Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to, 2021

2008
Implementing peridynamics within a molecular dynamics code.
Comput. Phys. Commun., 2008


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