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Multi-Fidelity Physics-Informed Neural Networks with Bayesian Uncertainty Quantification and Adaptive Residual Learning for Efficient Solution of Parametric Partial Differential Equations

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Feb 01, 2026
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Discovering Scaling Exponents with Physics-Informed Müntz-Szász Networks

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Jan 30, 2026
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naPINN: Noise-Adaptive Physics-Informed Neural Networks for Recovering Physics from Corrupted Measurement

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Jan 30, 2026
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Physics Informed Reconstruction of Four-Dimensional Atmospheric Wind Fields Using Multi-UAS Swarm Observations in a Synthetic Turbulent Environment

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Jan 29, 2026
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TINNs: Time-Induced Neural Networks for Solving Time-Dependent PDEs

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Jan 28, 2026
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Phase-Retrieval-Based Physics-Informed Neural Networks For Acoustic Magnitude Field Reconstruction

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Jan 27, 2026
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Learn and Verify: A Framework for Rigorous Verification of Physics-Informed Neural Networks

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Jan 27, 2026
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Estimating Dense-Packed Zone Height in Liquid-Liquid Separation: A Physics-Informed Neural Network Approach

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Jan 26, 2026
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Learning PDE Solvers with Physics and Data: A Unifying View of Physics-Informed Neural Networks and Neural Operators

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Jan 20, 2026
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Architecture-Optimization Co-Design for Physics-Informed Neural Networks Via Attentive Representations and Conflict-Resolved Gradients

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Jan 19, 2026
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