Article ; Online: Weighted ensemble: Recent mathematical developments.
The Journal of chemical physics
2023 Volume 158, Issue 1, Page(s) 14108
Abstract: Weighted ensemble (WE) is an enhanced sampling method based on periodically replicating and pruning trajectories generated in parallel. WE has grown increasingly popular for computational biochemistry problems due, in part, to improved hardware and ... ...
Abstract | Weighted ensemble (WE) is an enhanced sampling method based on periodically replicating and pruning trajectories generated in parallel. WE has grown increasingly popular for computational biochemistry problems due, in part, to improved hardware and accessible software implementations. Algorithmic and analytical improvements have played an important role, and progress has accelerated in recent years. Here, we discuss and elaborate on the WE method from a mathematical perspective, highlighting recent results that enhance the computational efficiency. The mathematical theory reveals a new strategy for optimizing trajectory management that approaches the best possible variance while generalizing to systems of arbitrary dimension. |
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MeSH term(s) | Algorithms ; Software |
Language | English |
Publishing date | 2023-01-06 |
Publishing country | United States |
Document type | Journal Article |
ZDB-ID | 3113-6 |
ISSN | 1089-7690 ; 0021-9606 |
ISSN (online) | 1089-7690 |
ISSN | 0021-9606 |
DOI | 10.1063/5.0110873 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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