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Workshop
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PINNs-TF2: Fast and User-Friendly Physics-Informed Neural Networks in TensorFlow V2
Reza Akbarian Bafghi · Maziar Raissi
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Workshop
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Gradient weighted physics-informed neural networks for capturing shocks in porous media flows
Somiya Kapoor · Abhishek Chandra · Taniya Kapoor · Mitrofan Curti
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Workshop
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ELUQuant: Event-Level Uncertainty Quantification using Physics-Informed Bayesian Neural Networks with Flow approximated Posteriors - A DIS Study
Cristiano Fanelli · James Giroux
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Workshop
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Application of Zone Method based Physics-Informed Neural Networks in Reheating Furnaces
Ujjal Dutta · Aldo Lipani · Chuan Wang · Yukun Hu
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Workshop
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Incremental learning for physics-informed neural networks
Aleksandr Dekhovich · Marcel Sluiter · David M.J. Tax · Miguel Bessa
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Poster
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Wed 15:00
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Separable Physics-Informed Neural Networks
Junwoo Cho · Seungtae Nam · Hyunmo Yang · Seok-Bae Yun · Youngjoon Hong · Eunbyung Park
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Workshop
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PINNs-Torch: Enhancing Speed and Usability of Physics-Informed Neural Networks with PyTorch
Reza Akbarian Bafghi · Maziar Raissi
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Workshop
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Physics-Informed Tensor Basis Neural Network for Turbulence Closure Modeling
Leon Riccius · Atul Agrawal · Phaedon S Koutsourelakis
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Workshop
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Physics-Informed Transformer Networks
Fabricio Dos Santos · Tara Akhound-Sadegh · Siamak Ravanbakhsh
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Workshop
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AnisoGNN: physics-informed graph neural networks that generalize to anisotropic properties of polycrystals
Guangyu Hu · Marat Latypov
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Poster
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Wed 15:00
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SyncTREE: Fast Timing Analysis for Integrated Circuit Design through a Physics-informed Tree-based Graph Neural Network
Yuting Hu · Jiajie Li · Florian Klemme · Gi-Joon Nam · Tengfei Ma · Hussam Amrouch · Jinjun Xiong
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Workshop
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Physics-informed neural networks with unknown measurement noise
Philipp Pilar · Niklas Wahlström
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