Model selection in atomistic simulation
Fuente:
arXiv
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| Autor principal: | |
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| Formato: | Preprint |
| Publicado: |
2023
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866911193279496192 |
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| author | Moussa, Jonathan E. |
| author_facet | Moussa, Jonathan E. |
| contents | There are many atomistic simulation methods with very different costs, accuracies, transferabilities, and numbers of empirical parameters. I show how statistical model selection can compare these methods fairly, even when they are very different. These comparisons are also useful for developing new methods that balance cost and accuracy. As an example, I build a semiempirical model for hydrogen clusters. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2301_05287 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Model selection in atomistic simulation Moussa, Jonathan E. Chemical Physics Materials Science There are many atomistic simulation methods with very different costs, accuracies, transferabilities, and numbers of empirical parameters. I show how statistical model selection can compare these methods fairly, even when they are very different. These comparisons are also useful for developing new methods that balance cost and accuracy. As an example, I build a semiempirical model for hydrogen clusters. |
| title | Model selection in atomistic simulation |
| topic | Chemical Physics Materials Science |
| url | https://arxiv.org/abs/2301.05287 |