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Developing a Theory of Ion Transport in Solid Polymer Electrolytes
A New Finite Element Method for Radiation Transport on Spherical Geodesic Grids
Algorithms for Distributed Fast Fourier Transforms
Exploring the Frontiers of Physics-Informed Machine Learning for Solving Complex Scientific Problems
Phase-Field Modeling for Oxygen Vacancy Fluctuations in Complex Oxide Heterostructures
A Learning Approach to Optimal Feedback Control
Data-driven Surrogate Modeling of Turbulent Flows in the Atmosphere and Ocean
Multi-species BGK models
TaylorNet: A Taylor-Driven Generic Neural Architecture
Data-Driven and Knowledge-Driven Deep Learning for Battery Safety Modeling
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