• SciANN

  • Referenced in 16 articles [sw38344]
  • wrapper for scientific computations and physics-informed deep learning using artificial neural networks. In this ... package for scientific computing and physics-informed deep learning using artificial neural networks. SciANN uses ... batch optimization and model reuse for transfer learning. SciANN is designed to abstract neural network ... partial differential equations (PDE) using the physics-informed neural networks (PINN) architecture, therefore providing...
  • NeuralPDE.jl

  • Referenced in 38 articles [sw39548]
  • equations using scientific machine learning (SciML) techniques such as physics-informed neural networks (PINNs...
  • DeepXDE

  • Referenced in 66 articles [sw32456]
  • learning library for solving differential equations. Deep learning has achieved remarkable success in diverse applications ... Here, we present an overview of physics-informed neural networks (PINNs), which embed ... rapid development of the emerging Scientific Machine Learning field...
  • PDE-NetGen

  • Referenced in 1 article [sw37737]
  • While deep learning frameworks open avenues in physical science, the design of physically-consistent deep ... open issue. In the spirit of physics-informed NNs, PDE-NetGen package provides new means...
  • TensorDiffEq

  • Referenced in 1 article [sw39549]
  • Solvers for Physics Informed Neural Networks. Physics-Informed Neural Networks promise to revolutionize science ... practice, by introducing domain-aware deep machine learning models into scientific computation. Several software suites...
  • PINNeik

  • Referenced in 2 articles [sw42324]
  • based on the emerging paradigm of physics-informed neural networks (PINNs). By minimizing a loss ... demonstrate how the proposed algorithm harnesses machine learning techniques like transfer learning and surrogate modeling...
  • Matlab

  • Referenced in 13702 articles [sw00558]
  • MATLAB® is a high-level language and interactive...
  • TISEAN

  • Referenced in 173 articles [sw00967]
  • Practical implementation of nonlinear time series methods: The...
  • L-BFGS-B

  • Referenced in 200 articles [sw01234]
  • Algorithm 778: L-BFGS-B Fortran subroutines for...
  • EnKF

  • Referenced in 441 articles [sw02066]
  • EnKF-The Ensemble Kalman Filter The EnKF is...
  • L-BFGS

  • Referenced in 852 articles [sw03229]
  • Algorithm 778: L-BFGS-B Fortran subroutines for...
  • COMSOL

  • Referenced in 460 articles [sw04091]
  • The COMSOL Multiphysics engineering simulation software environment facilitates...
  • FLUENT

  • Referenced in 447 articles [sw04263]
  • FLUENT is a Computational Fluid Dynamics (CFD) code...
  • FEniCS

  • Referenced in 856 articles [sw04314]
  • The FEniCS Project is a collaborative project for...
  • OpenFOAM

  • Referenced in 555 articles [sw04317]
  • The OpenFOAM® (Open Field Operation and Manipulation) CFD...
  • DACE

  • Referenced in 188 articles [sw04715]
  • DACE, Design and Analysis of Computer Experiments, is...
  • Stony Brook

  • Referenced in 95 articles [sw05040]
  • The Stony Brook Algorithm Repository mainly for combinatorial...
  • LBFGS-B

  • Referenced in 431 articles [sw05142]
  • Algorithm 778: L-BFGS-B Fortran subroutines for...
  • Theano

  • Referenced in 98 articles [sw05894]
  • Theano is a Python library that allows you...