Micromechanics Transformer for Predicting Material Responses
Micromechanics Transformer for Predicting Material Responses
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Micrometer AI framework addresses complex mechanics challenges through operator learning, leveraging advanced architectures like FNO and Transformers. Key contributions include applying operator learning to elastic tensors, developing the CSMBench/CMME dataset, and improving strain field predictions with synthetic data techniques. Performance insights highlight surpassing baseline models and enhancing efficiency in homogenisation modelling, integrated with FEM for multiscale analysis. Future...