Molecular Potential Energy Surfaces by Interpolation

By M. A. Collins. 1994

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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Xianglin Liu
2. Gareth W Richings
3. Jiaxin Zhang
4. I. Polyak
5. K. E. Spinlove
6. Graham A. Worth
7. Zongrui Pei
8. Irene Burghardt

Citations in the corpus

• Machine Learning for High-entropy Alloys: Progress, Challenges and Opportunities (2022, methodology): “Similarly, in MD simulations, the trajectory-based iterative sampling algorithms [124, 123] can be used to sample the dynamically important regions in the configuration space and add new data points where the trajectories visit most frequently.”