A Physics-Informed Neural Network (PINN) Approach to Over-Equilibrium Dynamics in Conservatively Perturbed Linear Equilibrium Systems. [PDF]
Dutta A +5 more
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AI-driven adaptive vibration control in smart plate systems: a sustainable approach for next-generation sports engineering. [PDF]
Lin B, Wang J, Safarpour M, Yaylacı M.
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Fast electromagnetic field simulation using a current-density- based physics-informed neural network. [PDF]
Gao Z +5 more
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Resolving energy transfer dynamics in Eu²⁺-activated multi-site phosphors via metaheuristic optimization and physics-informed neural networks. [PDF]
Lee BD +5 more
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Integration of PINN with Conventional Well Logging for Few-Shot TOC Prediction in Ultradeep Source Rocks. [PDF]
He T +6 more
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Breaking the Cross-Sensitivity Degeneracy in FBG Sensors: A Physics-Informed Co-Design Framework for Robust Discrimination. [PDF]
Yalınbaş F, Yılmaz G.
europepmc +1 more source
Physics-Guided Deep Learning for Interpretable Biomedical Image Reconstruction and Pattern Recognition in Diagnostic Frameworks. [PDF]
Qadir A, Arif S, Valsalan P, Khan O.
europepmc +1 more source
Optimising pandemic response through vaccination strategies using neural networks. [PDF]
Zhai C, Chen P, Jin Z, Pitt D.
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Evaluating physics informed neural networks for water contamination risk prediction and environmental sustainability. [PDF]
Rashid S +5 more
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Physics-Informed Neural-Network-Based Generation of Composite Representative Volume Elements with Non-Uniform Distribution and High-Volume Fractions. [PDF]
Zheng T, Cai C, Yang F, Wang R, Liu W.
europepmc +1 more source

