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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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Poster
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Tue 9:00
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Accelerated Training of Physics-Informed Neural Networks (PINNs) using Meshless Discretizations
Ramansh Sharma · Varun Shankar
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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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Poster
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Thu 9:00
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Physics-Informed Implicit Representations of Equilibrium Network Flows
Kevin D. Smith · Francesco Seccamonte · Ananthram Swami · Francesco Bullo
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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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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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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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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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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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Workshop
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Physics-Informed Neural Networks as Solvers for the Time-Dependent Schrödinger Equation
Karan Shah · Patrick Stiller · Nico Hoffmann · Attila Cangi
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Workshop
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Deep-pretrained-FWI: combining supervised learning with physics-informed neural network
ANA PAULA MULLER · Clecio Roque Bom · Jessé Carvalho Costa · Elisângela Lopes Faria · Marcelo Portes de Albuquerque · Marcio Portes de Albuquerque
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Workshop
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First principles physics-informed neural network for quantum wavefunctions and eigenvalue surfaces
Marios Mattheakis · Gabriel R. Schleder · Daniel Larson · Efthimios Kaxiras
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