PINNs

physics-informed neural networks, scientific ML, differential equations, deep learning simulation

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Scoured 59 posts in 5.6 ms

Hybrid quantum-classical physics-informed neural networks for solving nonlinear PDEs: when and where hybridization is effective?

馃AI ResearchContent type: Academic
arxiv.org

Boundary-Layer-Induced Failure of Standard Physics-Informed Neural Networks: A Legendre Wavelet Collocation Benchmark for Singularly Perturbed Transport Problem...

馃AI ResearchContent type: Academic
arxiv.org

Multiscale Fourier Neural Operator for Inverse Wave Scattering in Highly Oscillatory Media

馃AI ResearchContent type: Academic
arxiv.org

Loss-Conditional PINNs for Parametric PDE Families

馃AI ResearchContent type: Academic
arxiv.org

Fourier Neural Operators with rank-1 lattice points and hyperbolic cross

馃AI ResearchContent type: Academic
arxiv.org

Physics-Informed Neural Network Modeling of Biodegradable Contaminant Transport through GCL/SL Composite Liners

馃AI ResearchContent type: Academic
arxiv.org

Topological Neural Operators

馃AI ResearchContent type: Academic
arxiv.org

Curvature-aware dynamic precision approach for physics-informed neural networks

馃AI ResearchContent type: Academic
arxiv.org

Decision-Aware Evaluation of Physics-Informed Surrogates

馃AI ResearchContent type: Academic
arxiv.org

DAS-PINNs for high-dimensional partial differential equations: extending deep adaptive sampling to spacetime domains

馃AI ResearchContent type: Academic
arxiv.org

Advanced Flood Prediction with Physics-Guided Deep Learning: Combining UNet, FNO, and SAR/Optical Imagery

馃AI ResearchContent type: Academic
arxiv.org

Operator learning for solving Fokker-Planck equations with various initial conditions

馃AI ResearchContent type: Academic
arxiv.org

SPLIT-PINN: Separable Probability Learning Technique via Physics-Informed Neural Networks for High-Dimensional Probabilistic Modeling

馃AI ResearchContent type: Academic
arxiv.org

A Comparative Study of Deep Learning Models for Geological Carbon Sequestration

馃AI ResearchContent type: Academic
arxiv.org

Wall Shear Stress Reconstruction from Concentration: Differentiable Physics and Physics-Informed Neural Networks

馃AI ResearchContent type: Academic
arxiv.org

A Non-Overlapping Schwarz Hybrid Finite Element-Neural Operator Framework for Solid Mechanics on Irregular Domains

馃AI ResearchContent type: Academic
arxiv.org

Effective Dimensionality as an Operator Invariant for Physics-Preserving Constraint Adaptation in Physics-Informed Neural Networks

馃AI ResearchContent type: Academic
arxiv.org

From inverse problems to neural operators: prediction, mechanism, and generalization of data-driven models

馃AI ResearchContent type: Academic
arxiv.org

A Microlocal Open-Boundary Method for Residual-Based Wave Solvers on Unbounded Domains

馃AI ResearchContent type: Academic
arxiv.org
Less-relevant results

A Geometry-Aware Triplane Field Network for Vehicle Aerodynamic Prediction

馃AI ResearchContent type: Academic
arxiv.org

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