Atomic-Level Features for Kinetic Monte Carlo Models of Complex Chemistry from Molecular Dynamics Simulations
The high computational cost of evaluating atomic interactions recently motivated the development of computationally inexpensive kinetic models, which can be parameterized from molecular dynamics (MD) simulations of the complex chemistry of thousands of species or other processes and accelerate the p...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Chemical Society (ACS)
2022
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| Online Access: | https://hdl.handle.net/1721.1/142499 |