Reese E. Jones
Orcid: 0000-0002-2332-6279
According to our database1,
Reese E. Jones
authored at least 17 papers
between 2010 and 2024.
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Bibliography
2024
Uncertainty Quantification of Graph Convolution Neural Network Models of Evolving Processes.
CoRR, 2024
2023
Enhancing Polynomial Chaos Expansion Based Surrogate Modeling using a Novel Probabilistic Transfer Learning Strategy.
CoRR, 2023
Accurate Data-Driven Surrogates of Dynamical Systems for Forward Propagation of Uncertainty.
CoRR, 2023
Extreme sparsification of physics-augmented neural networks for interpretable model discovery in mechanics.
CoRR, 2023
Stress representations for tensor basis neural networks: alternative formulations to Finger-Rivlin-Ericksen.
CoRR, 2023
Robust scalable initialization for Bayesian variational inference with multi-modal Laplace approximations.
CoRR, 2023
2022
Modular machine learning-based elastoplasticity: generalization in the context of limited data.
CoRR, 2022
Deep learning and multi-level featurization of graph representations of microstructural data.
CoRR, 2022
Design of experiments for the calibration of history-dependent models via deep reinforcement learning and an enhanced Kalman filter.
CoRR, 2022
A heteroencoder architecture for prediction of failure locations in porous metals using variational inference.
CoRR, 2022
2021
Mesh-based graph convolutional neural network models of processes with complex initial states.
CoRR, 2021
2020
Prediction of the evolution of the stress field of polycrystals undergoing elastic-plastic deformation with a hybrid neural network model.
Mach. Learn. Sci. Technol., 2020
2019
2016
J. Comput. Phys., 2016
2015
Quantifying Sampling Noise and Parametric Uncertainty in Atomistic-to-Continuum Simulations Using Surrogate Models.
Multiscale Model. Simul., 2015
2012
A Stochastic Multiscale Coupling Scheme to Account for Sampling Noise in Atomistic-to-Continuum Simulations.
Multiscale Model. Simul., 2012
2010
A material frame approach for evaluating continuum variables in atomistic simulations.
J. Comput. Phys., 2010