🧪 sciML - dull · Scour

Error Analysis of Tr-PINNs Algorithm for 2D Incompressible Navier-Stokes Equations with Non-Homogeneous Boundary Conditions

📡Information Theory Academic

Physics-informed neural networks with caputo-fabrizio derivatives for nonlinear fractal-fractional delay equations and chaotic systems

🎛️Cybernetics Academic

Less-relevant results

Neural Networks Are Pattern Matchers, Not Physicists.

🎲Probabilistic Models Blog

A hybrid physics-informed neural network and gradient boosting tree approach for predicting earthquake-induced pipeline failure probability

🎲Probabilistic Models Academic

sciencedirect.com·

Reliable Error Estimation for PINNs: Lower and Upper A Posteriori Bounds

👁️‍🗨️hidden markov models Academic

Bioinspired Zwitterionic Hydrogels With Bound‐Water Reinforcement for Deep‐Sea Robotic Velocity Sensing

👁️‍🗨️hidden markov models

advanced.onlinelibrary.wiley.com·

Adjoint Method versus Physics-Informed Neural Networks in PDE-Constrained Inverse Problems

🎲Probabilistic Models Academic

Loss Landscape Diagnosis for Gradient-Based Gray-Scott System Inversion: Disentangling the Roles of PINN Components

🎲Probabilistic Models Academic

Overcoming the Limits of Finite Difference Method; Physics-Informed Neural Network for Noisy High-Dimensional Heat Diffusion

🎲Probabilistic Models Academic

MATLAB-Based Layerwise Self-Adaptive Physics-Informed Neural Network in Applications to Multidimensional Coupled Burgers' Equations with High Reynolds Numbers

🎲Probabilistic Models Academic

Knowledge-Inclusive Adaptive Physics-Informed Neural Network for Microbial Interaction Modelling

🎲Probabilistic Models Academic

PL-KKT-hPINN: Enforcing Nonlinear Equality Constraints on Neural Networks via Piecewise-Linear Projection

🎲Probabilistic Models Academic

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

👁️‍🗨️hidden markov models Academic

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

🎲Probabilistic Models Academic

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

🎲Probabilistic Models Academic

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

🎲Probabilistic Models Academic

An adaptive framework for the axisymmetric pulsar magnetosphere using physics-informed Kolmogorov-Arnold networks

🎲Probabilistic Models Academic

On the training of physics-informed neural operators for solving parametric partial differential equations

🎲Probabilistic Models Academic

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

🎲Probabilistic Models Academic

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

🎲Probabilistic Models Academic

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