Probabilistic graph networks for learning physics simulations
From MaRDI portal
Publication:6572165
DOI10.1016/j.jcp.2024.113137MaRDI QIDQ6572165
Sakthi Kumar Arul Prakash, Conrad Tucker
Publication date: 15 July 2024
Published in: Journal of Computational Physics (Search for Journal in Brave)
Artificial intelligence (68Txx) Inference from stochastic processes (62Mxx) Nonparametric inference (62Gxx)
Cites Work
- GINNs: graph-informed neural networks for multiscale physics
- Physics-informed multi-LSTM networks for metamodeling of nonlinear structures
- Physics-informed neural networks: a deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
- Converting high-dimensional regression to high-dimensional conditional density estimation
- Learning to predict the cosmological structure formation
- Transformers for modeling physical systems
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