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琥斛
Lv3
340 积分
2024-06-21 加入
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Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems
10天前
已完结
Enhancing the accuracy of physics-informed neural networks for indoor airflow simulation with experimental data and Reynolds-averaged Navier–Stokes turbulence model
17天前
已完结
Solving Inverse Heat Transfer Problems Without Surrogate Models: A Fast, Data-Sparse, Physics Informed Neural Network Approach
1个月前
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Locally adaptive activation functions with slope recovery for deep and physics-informed neural networks
1个月前
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Adrenocortical Zonation in Humans under Normal and Pathological Conditions
1个月前
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Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism
2个月前
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Long sequence time-series forecasting with deep learning: A survey
2个月前
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Physics-guided LSTM model for heat load prediction of buildings
4个月前
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Deep learning-driven nonlinear reduced-order models for predicting wave-structure interaction
4个月前
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The prediction of external flow field and hydrodynamic force with limited data using deep neural network
4个月前
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1个月前
A.D. Jagtap, K. Kawaguchi, G.Em Karniadakis, Locally adaptive activation func- tions with slope recovery for deep and physics-informed neural networks, Proc. Royal Soc. A 476 (2239) (2020) 20200334 .
1个月前
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