18 citations · 38 across the 10 of their papers we have counts for
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physics.flu-dyn2019★ 1 cited
Closure Learning for Nonlinear Model Reduction Using Deep Residual Neural Network
Xuping Xie, Clayton G. Webster, Traian Iliescu
Developing accurate, efficient, and robust closure models is essential in the construction of reduced order models (ROMs) for realistic nonlinear systems, which generally require d…
physics.comp-ph2019★ 1 cited
Analytic Continuation of Noisy Data Using Adams Bashforth ResNet
Xuping Xie, Feng Bao, Thomas Maier +1
We propose a data-driven learning framework for the analytic continuation problem in numerical quantum many-body physics. Designing an accurate and efficient framework for the anal…