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MLatom 2: An Integrative Platform for Atomistic Machine Learning
Atomistic machine learning (AML) simulations are used in chemistry at an ever-increasing pace. A large number of AML models has been developed, but their implementations are scattered among different packages, each with its own conventions for input and output. Thus, here we give an overview of our...
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| Izdano u: | Top Curr Chem (Cham) |
|---|---|
| Glavni autori: | , , , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Springer International Publishing
2021
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| Teme: | |
| Online pristup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8187220/ https://ncbi.nlm.nih.gov/pubmed/34101036 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s41061-021-00339-5 |
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