APA (7th ed.) Citation

Hložný, A., Brndiar, J., Luo, Y., & Štich, I. (2026). Upscaling DFT-trained machine-learning interatomic potential toward Quantum Monte Carlo accuracy: Sulfur-vacancy migration in monolayer MoS$_2$ as a testbed.

Chicago Style (17th ed.) Citation

Hložný, Adam, Ján Brndiar, Ye Luo, and Ivan Štich. Upscaling DFT-trained Machine-learning Interatomic Potential Toward Quantum Monte Carlo Accuracy: Sulfur-vacancy Migration in Monolayer MoS$_2$ as a Testbed. 2026.

MLA (9th ed.) Citation

Hložný, Adam, et al. Upscaling DFT-trained Machine-learning Interatomic Potential Toward Quantum Monte Carlo Accuracy: Sulfur-vacancy Migration in Monolayer MoS$_2$ as a Testbed. 2026.