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Towards inverse microstructure-centered materials design using generative phase-field modeling and deep variational autoencoders

Vahid Attari, Danial Khatamsaz, Douglas Allaire, Raymundo Arróyave

2023Acta Materialia45 citationsDOIOpen Access PDF

Topics & Concepts

Materials scienceMicrostructureThermal conductivityInverseMaterial DesignThermal diffusivityArtificial intelligencePhase (matter)Deep learningGenerative modelAutoencoderMachine learningGenerative grammarComputer scienceThermodynamicsMathematicsComposite materialPhysicsGeometryQuantum mechanicsMachine Learning in Materials ScienceThermal properties of materialsAdvanced Thermoelectric Materials and Devices
Towards inverse microstructure-centered materials design using generative phase-field modeling and deep variational autoencoders | Litcius