Workshop
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Physics-informed Bayesian Optimization of an Electron Microscope
Desheng Ma
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Workshop
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Physics-informed neural networks for modeling rate- and temperature-dependent plasticity
Rajat Arora · Pratik Kakkar · Amit Chakraborty · Biswadip Dey
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Workshop
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PhAST: Physics-Aware, Scalable, and Task-specific GNNs for accelerated catalyst design
ALEXANDRE DUVAL · Victor Schmidt · Alex Hernandez-Garcia · Santiago Miret · Yoshua Bengio · David Rolnick
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Workshop
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Physics-informed inference of animal movements from weather radar data
Fiona Lippert · Patrick Forré
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Workshop
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Generating physically-consistent high-resolution climate data with hard-constrained neural networks
Paula Harder · Qidong Yang · Venkatesh Ramesh · Prasanna Sattigeri · Alex Hernandez-Garcia · Campbell Watson · Daniela Szwarcman · David Rolnick
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Poster
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Thu 14:00
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NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device Simulation
Jiaqi Gu · Zhengqi Gao · Chenghao Feng · Hanqing Zhu · Ray Chen · Duane Boning · David Pan
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Poster
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Wed 9:00
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PhysGNN: A Physics--Driven Graph Neural Network Based Model for Predicting Soft Tissue Deformation in Image--Guided Neurosurgery
Yasmin Salehi · Dennis Giannacopoulos
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Poster
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Thu 14:00
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Generic bounds on the approximation error for physics-informed (and) operator learning
Tim De Ryck · Siddhartha Mishra
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Poster
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Thu 14:00
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Is L2 Physics Informed Loss Always Suitable for Training Physics Informed Neural Network?
Chuwei Wang · Shanda Li · Di He · Liwei Wang
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Poster
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Wed 14:00
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Meta-Auto-Decoder for Solving Parametric Partial Differential Equations
Xiang Huang · Zhanhong Ye · Hongsheng Liu · Shi Ji · Zidong Wang · Kang Yang · Yang Li · Min Wang · Haotian CHU · Fan Yu · Bei Hua · Lei Chen · Bin Dong
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Poster
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Tue 14:00
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Physics-Embedded Neural Networks: Graph Neural PDE Solvers with Mixed Boundary Conditions
Masanobu Horie · NAOTO MITSUME
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Workshop
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Differentiable Physics-based Greenhouse Simulation
Nhat M. Nguyen · Hieu Tran · Minh Duong · Hanh Bui · Kenneth Tran
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