Deep Generative Crystal Structure Prediction: A Benchmark Study and a Controlled Test of Prototype Dependence
Present generative CSP models function largely as implicit, softer-edged prototype libraries rather than genuinely de novo predictors, and enlarging this residual capacity, rather than aggregate match rate alone, is the central open problem.
Lai Wei, Rong-Zhi Dong, Ying Feng et al.
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