Nongnuch Artrith

According to our database, Nongnuch Artrith authored at least 3 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A practical guide to machine learning interatomic potentials - Status and future.

Ryan Jacobs, Dane Morgan, Siamak Attarian, Jun Meng, Chen Shen, Zhenghao Wu, Clare Yijia Xie, Julia H. Yang, Nongnuch Artrith, Ben Blaiszik, Gerbrand Ceder, Kamal Choudhary, Gábor Csányi, Ekin Dogus Cubuk, Bowen Deng, Ralf Drautz, Xiang Fu, Jonathan Godwin, Vasant G. Honavar, Olexandr Isayev, Anders Johansson, Boris Kozinsky, Stefano Martiniani, Shyue Ping Ong, Igor Poltavsky, K. J. Schmidt, So Takamoto, Aidan Thompson, Julia Westermayr, Brandon M. Wood

CoRR, March, 2025

2021

Strategies for the construction of machine-learning potentials for accurate and efficient atomic-scale simulations.

April M. Miksch, Tobias Morawietz, Johannes Kästner, Alexander Urban, Nongnuch Artrith

Mach. Learn. Sci. Technol., September, 2021

Machine learning-accelerated quantum mechanics-based atomistic simulations for industrial applications.

Tobias Morawietz, Nongnuch Artrith

J. Comput. Aided Mol. Des., 2021