APA (7th ed.) Citation

Miyazaki, Y., Tomita, A., Hayashi, A., Takamoto, S., Takemoto, M., & Mori, H. (2026). PFP/MM: A Hybrid Approach Combining a Universal Neural Network Potential with Classical Force Fields for Large-Scale Reactive Simulations.

Chicago Style (17th ed.) Citation

Miyazaki, Yu, Atsuhiro Tomita, Akihide Hayashi, So Takamoto, Mizuki Takemoto, and Hodaka Mori. PFP/MM: A Hybrid Approach Combining a Universal Neural Network Potential with Classical Force Fields for Large-Scale Reactive Simulations. 2026.

MLA (9th ed.) Citation

Miyazaki, Yu, et al. PFP/MM: A Hybrid Approach Combining a Universal Neural Network Potential with Classical Force Fields for Large-Scale Reactive Simulations. 2026.