Jamie M. Taylor

Orcid: 0000-0002-5423-828X

According to our database1, Jamie M. Taylor authored at least 12 papers between 2018 and 2025.

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

Timeline

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Links

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Bibliography

2025
Deep Fourier Residual method for solving time-harmonic Maxwell's equations.
J. Comput. Phys., 2025

2024
A Least-Squares-Based Neural Network (LS-Net) for Solving Linear Parametric PDEs.
CoRR, 2024

Optimizing Variational Physics-Informed Neural Networks Using Least Squares.
CoRR, 2024

Regularity-Conforming Neural Networks (ReCoNNs) for solving Partial Differential Equations.
CoRR, 2024

Adaptive Deep Fourier Residual method via overlapping domain decomposition.
CoRR, 2024

2023
Machine Learning Discovery of Optimal Quadrature Rules for Isogeometric Analysis.
CoRR, 2023

Memory-Based Monte Carlo Integration for Solving Partial Differential Equations Using Neural Networks.
Proceedings of the Computational Science - ICCS 2023, 2023

2022
A Deep Fourier Residual Method for solving PDEs using Neural Networks.
CoRR, 2022

2021
Cavity Volume and Free Energy in Many-Body Systems.
J. Nonlinear Sci., 2021

On quadrature rules for solving Partial Differential Equations using Neural Networks.
CoRR, 2021

2019
Convex Integration Arising in the Modelling of Shape-Memory Alloys: Some Remarks on Rigidity, Flexibility and Some Numerical Implementations.
J. Nonlinear Sci., 2019

2018
An Analysis of Equilibria in Dense Nematic Liquid Crystals.
SIAM J. Math. Anal., 2018


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