AI RESEARCH
Learning ORDER-Aware Multimodal Representations for Composite Materials Design
arXiv CS.LG
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ArXi:2602.02513v2 Announce Type: replace Artificial intelligence has shown remarkable success in materials discovery and property prediction, particularly for crystalline and polymer systems where material properties and structures are dominated by discrete graph representations. Such graph-central paradigm breaks down on composite materials, which possess continuous and nonlinear design spaces.