Explicit supersaturation conditioning in CRNN surrogates for Allen-Cahn crystal growth yields higher-fidelity predictions than implicit conditioning from mini-sequences, with better scalability.
Kutsukake, Review of machine learning applications for crystal growth research, Journal of Crystal Growth 630, 127598 (2024)
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Neural surrogates for crystal growth dynamics with variable supersaturation: explicit vs. implicit conditioning
Explicit supersaturation conditioning in CRNN surrogates for Allen-Cahn crystal growth yields higher-fidelity predictions than implicit conditioning from mini-sequences, with better scalability.