Cita APA (7a ed.)

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.

Cita Chicago Style (17a ed.)

Hložný, Adam, Ján Brndiar, Ye Luo, y 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.

Cita MLA (9a ed.)

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.