Nayak, G. K., Srinivasan, P., Todt, J., Daniel, R., Nicolini, P., & Holec, D. (2024). Accurate prediction of structural and mechanical properties on amorphous materials enabled through machine-learning potentials: A case study of silicon nitride.
Chicago-Zitierstil (17. Ausg.)Nayak, Ganesh Kumar, Prashanth Srinivasan, Juraj Todt, Rostislav Daniel, Paolo Nicolini, und David Holec. Accurate Prediction of Structural and Mechanical Properties on Amorphous Materials Enabled Through Machine-learning Potentials: A Case Study of Silicon Nitride. 2024.
MLA-Zitierstil (9. Ausg.)Nayak, Ganesh Kumar, et al. Accurate Prediction of Structural and Mechanical Properties on Amorphous Materials Enabled Through Machine-learning Potentials: A Case Study of Silicon Nitride. 2024.
Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.