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NPLIC: A Machine Learning Approach to Piecewise Linear Interface Construction
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NPLIC: A Machine Learning Approach to Piecewise Linear Interface Construction

M. Ataei
M. Bussmann
V. Shaayegan
F. Costa
Sejin Han
Chul B. Park
ArXiv (abs)PDFHTML

Papers citing "NPLIC: A Machine Learning Approach to Piecewise Linear Interface Construction"

4 / 4 papers shown
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Machine learning in cardiovascular flows modeling: Predicting arterial blood pressure from non-invasive 4D flow MRI data using physics-informed neural networks
Machine learning in cardiovascular flows modeling: Predicting arterial blood pressure from non-invasive 4D flow MRI data using physics-informed neural networks
Georgios Kissas
Yibo Yang
E. Hwuang
W. Witschey
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Universal Function Approximation by Deep Neural Nets with Bounded Width and ReLU Activations
Universal Function Approximation by Deep Neural Nets with Bounded Width and ReLU Activations
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Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
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