Text-guided flow matching enables sample-efficient crystal structure generation
TFMat is introduced, a text-conditioned flow-matching framework that uses structured materials language as a semantic prior for a CrystalFlow generator and improves one-candidate match rates over CrystalFlow and reaches a 92.04% MP-20 match rate with 20 candidates.
Wen-Tao Li
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