***Overview*** ResearchGate ↗
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Atthapak, C., Ektarawong, A., Pakornchote, T., Alling, B. and Bovornratanaraks, T. (2024) Thermodynamic stability prediction of triple transition-metals (Ti-Mo-V)3C2 MXenes via cluster correlation-based machine learning Advanced Theory and Simulations, 2300965.
Pakornchote, T., Choomphon-Anomakhun, N., Arrerut, S., Atthapak, C., Khamkaeo, S., Chotibut, T., and Bovornratanaraks, T. (2024) Diffusion probabilistic models enhance variational autoencoder for crystal structure generative modeling Scientific Reports, 14(1), 1275.
Atthapak, C., Pakornchote, T., Bovornratanaraks T., Maezono, R., and Ektarawong, A. (2023) First-principles prediction of configurational order-disorder phase transition in Mo2(Ti1-xVx)C2 MXene alloys Journal of Physics: Conference Series, 2431: No. 1. IOP Publishing.