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Workshop
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Evaluating Error Bound for Physics-Informed Neural Networks on Linear Dynamical Systems
Shuheng Liu · Xiyue Huang · Pavlos Protopapas
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Workshop
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Aboveground carbon biomass estimate with Physics-informed deep network
Juan Nathaniel · · Campbell Watson · Gabrielle Nyirjesy · Conrad Albrecht
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Workshop
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Separable PINN: Mitigating the Curse of Dimensionality in 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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Physics-Informed CNNs for Super-Resolution of Sparse Observations on Dynamical Systems
Daniel Kelshaw · Georgios Rigas · Luca Magri
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Workshop
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Clustering Behaviour of Physics-Informed Neural Networks: Inverse Modeling of An Idealized Ice Shelf
Yunona Iwasaki · Ching-Yao Lai
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Workshop
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Dynamic weights enabled Physics-Informed Neural Network for simulating the mobility of Engineered Nano Particles in a contaminated aquifer
Shikhar Nilabh
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Workshop
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Physics-Informed Convolutional Neural Networks for Corruption Removal on Dynamical Systems
Daniel Kelshaw · Luca Magri
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Workshop
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APPRAISE: ranking engineered proteins by target binding propensity using pair-wise, competitive structure modeling and physics-informed analysis
Xiaozhe Ding · Xinhong Chen · Erin Sullivan · Tim Miles · Viviana Gradinaru
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Workshop
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PIXEL: Physics-Informed Cell Representations for Fast and Accurate PDE Solvers
Namgyu Kang · Byeonghyeon Lee · Youngjoon Hong · Seok-Bae Yun · Eunbyung Park
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Workshop
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A Curriculum-Training-Based Strategy for Distributing Collocation Points during Physics-Informed Neural Network Training
Marcus Münzer · Christopher Bard
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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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Optimal Control of PDEs Using Physics-Informed Neural Networks
Saviz Mowlavi · Saleh Nabi
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