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09/01/2023
Interpretation of High-Dimensional Linear Regression: Effects of Nullspace and Regularization Demonstrated on Battery Data
High-dimensional linear regression is important in many scientific field...
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02/26/2023
Phase-Field DeepONet: Physics-informed deep operator neural network for fast simulations of pattern formation governed by gradient flows of free-energy functionals
Recent advances in scientific machine learning have shed light on the mo...
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10/12/2020
A Physics-Guided Neural Network Framework for Elastic Plates: Comparison of Governing Equations-Based and Energy-Based Approaches
One of the obstacles hindering the scaling-up of the initial successes o...
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06/12/2020