ORDER is an ordinal-aware multimodal alignment method for learning continuous representations that support property prediction and microstructure generation in composite materials.
Taking three-dimensional x-ray diffrac- tion (3dxrd) from the synchrotron to the laboratory scale,
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Learning ORDER-Aware Multimodal Representations for Composite Materials Design
ORDER is an ordinal-aware multimodal alignment method for learning continuous representations that support property prediction and microstructure generation in composite materials.