On physics-informed data-driven isotropic and anisotropic constitutive models through probabilistic machine learning and space-filling sampling
Jan N. Fuhg, Nikolaos Bouklas
Topics & Concepts
IsotropyAnisotropySampling (signal processing)Probabilistic logicConstitutive equationSpace (punctuation)Statistical physicsMathematicsComputer scienceCalculus (dental)PhysicsAlgorithmClassical mechanicsArtificial intelligenceFinite element methodOpticsComputer visionOperating systemDentistryFilter (signal processing)MedicineThermodynamicsModel Reduction and Neural NetworksProbabilistic and Robust Engineering DesignGaussian Processes and Bayesian Inference