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2dstefan

atpinn

code

bpinns

data-driven-pressure-estimation-with-epod

deepstefan

deepturbulence

heat-pinn

A Physics-Informed Neural Network to solve 2D steady-state heat equation.

optimization-of-building-energy-consumption

This repo demonstrates how to build a surrogate (proxy) model by multivariate regressing building energy consumption data (univariate and multivariate) and use (1) Bayesian framework, (2) Pyomo package, (3) Genetic algorithm with local search, and (4) Pymoo package to find optimum design parameters and minimum energy consumption.

para-database-for-piml

physics-constrained-bayesian-deep-learning

Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data

pinn-for-turbulence

A pytorch implementation of several approaches using PINN to slove turbulent flow

pinn-laminar-flow

Physics-informed neural network for solving fluid dynamics problems

pinn_heat_transfer

PINN for heat transfer problems

pinn_heattransfer_tf2

Soving heat transfer problems using PINN with tf2.0

pinn_tf2

Implementation of PINNs in TensorFlow 2

pinns

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

pinns-1

shallowdecoder

Shallow Learning for Flow Reconstruction with Limited Sensors and Limited Data

stefan

A course project to assess several numerical solutions to the Stefan problem for heat transfer in a two-phase material

xpinns

when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/10.1016/j.cma.2022.115346