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Physics-Informed Neural Networks for Enhanced Interface Preservation in Lattice Boltzmann Multiphase Simulations
13 April 2025
Yue Li
L. Zhang
AI4CE
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Papers citing
"Physics-Informed Neural Networks for Enhanced Interface Preservation in Lattice Boltzmann Multiphase Simulations"
6 / 6 papers shown
Title
LBM-GNN: Graph Neural Network Enhanced Lattice Boltzmann Method
Yue Li
79
0
0
20 Apr 2025
Adaptive Optimization for Enhanced Efficiency in Large-Scale Language Model Training
Jiajing Chen
Bingying Liu
Xiaoxuan Liao
Jia Gao
Hongye Zheng
Yue Li
127
12
0
06 Dec 2024
DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators
Lu Lu
Pengzhan Jin
George Karniadakis
254
2,178
0
08 Oct 2019
Physics-Informed Probabilistic Learning of Linear Embeddings of Non-linear Dynamics With Guaranteed Stability
Shaowu Pan
Karthik Duraisamy
140
138
0
09 Jun 2019
Machine Learning for Fluid Mechanics
Steven Brunton
B. R. Noack
Petros Koumoutsakos
AI4CE
PINN
103
2,145
0
27 May 2019
Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data
Yinhao Zhu
N. Zabaras
P. Koutsourelakis
P. Perdikaris
PINN
AI4CE
142
876
0
18 Jan 2019
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