nkchr123's repositories
PINN4SOH
A physics-informed neural network for battery SOH estimation
Li-ion-Battery-Prognosis-Based-on-Hybrid-Bayesian-PINN
Code used to generate the results of the paper: Nascimento et al. A framework for Li-ion battery prognosis based on hybrid Bayesian physics-informed neural networks.
PINN_TF2
Implementation of PINNs in TensorFlow 2
AtPINN
code
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.
pinn-torch
PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations
PINN-for-turbulence
A pytorch implementation of several approaches using PINN to slove turbulent flow
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
PINN_HeatTransfer_tf2
Soving heat transfer problems using PINN with tf2.0
PINN_Heat_Transfer
PINN for heat transfer problems
PINN-laminar-flow
Physics-informed neural network for solving fluid dynamics problems
rans-uncertainty
Uncertainty Quantification of RANS Data-Driven Turbulence Modeling
PINNs
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
Physics-constrained-Bayesian-deep-learning
Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data
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