Efficient prediction of phase-field crystal dynamics via β-variational autoencoders and time-series transformers on coupled physical fields
Zhixian Lv, Jiahao Huang, Chengyang Yue, Junseok Kim, Yibao Li
Topics & Concepts
AutoencoderRegularization (linguistics)Dimensionality reductionAlgorithmComputer scienceInferenceCurse of dimensionalityArtificial neural networkMathematicsTransformerArtificial intelligenceDiscretizationPhysical systemReduction (mathematics)Computational fluid dynamicsMultiscale modelingGranularityRobustness (evolution)Crystal (programming language)Pattern recognition (psychology)Complex systemCrystal structure predictionComputer simulationSequence (biology)Computational complexity theoryLatent variableUncertainty quantificationSolidification and crystal growth phenomenaModel Reduction and Neural NetworksGenerative Adversarial Networks and Image Synthesis