Inverse design of dual-phase steel microstructures using generative machine learning model and Bayesian optimization
Navyanth Kusampudi, Martin Diehl
Topics & Concepts
AutoencoderMicrostructureMaterials scienceArtificial intelligenceBayesian inferenceBayesian optimizationGenerative modelMachine learningComputer scienceAlgorithmBayesian probabilityPattern recognition (psychology)Mathematical optimizationGenerative grammarArtificial neural networkMathematicsComposite materialMachine Learning in Materials ScienceHydrogen embrittlement and corrosion behaviors in metalsMicrostructure and Mechanical Properties of Steels