XtalOpt Version 13: Multi-Objective Evolutionary Search for Novel Functional Materials
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arXiv
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866909258770022400 |
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| author | Hajinazar, Samad Zurek, Eva |
| author_facet | Hajinazar, Samad Zurek, Eva |
| contents | Version 13 of XtalOpt, an evolutionary algorithm for crystal structure prediction, is now available for download from the CPC program library or the XtalOpt website, https://xtalopt.github.io. In the new version of the XtalOpt code, a general platform for multi-objective global optimization is implemented. This functionality is designed to facilitate the search for (meta)stable phases of functional materials through minimization of the enthalpy of a crystalline system coupled with the simultaneous optimization of any desired properties that are specified by the user. The code is also able to perform a constrained search by filtering the parent pool of structures based on a user-specified feature, while optimizing multiple objectives. Here, we present the implementation and various technical details, and we provide a brief overview of additional improvements that have been introduced in the new version of XtalOpt. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_02138 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | XtalOpt Version 13: Multi-Objective Evolutionary Search for Novel Functional Materials Hajinazar, Samad Zurek, Eva Computational Physics Materials Science Version 13 of XtalOpt, an evolutionary algorithm for crystal structure prediction, is now available for download from the CPC program library or the XtalOpt website, https://xtalopt.github.io. In the new version of the XtalOpt code, a general platform for multi-objective global optimization is implemented. This functionality is designed to facilitate the search for (meta)stable phases of functional materials through minimization of the enthalpy of a crystalline system coupled with the simultaneous optimization of any desired properties that are specified by the user. The code is also able to perform a constrained search by filtering the parent pool of structures based on a user-specified feature, while optimizing multiple objectives. Here, we present the implementation and various technical details, and we provide a brief overview of additional improvements that have been introduced in the new version of XtalOpt. |
| title | XtalOpt Version 13: Multi-Objective Evolutionary Search for Novel Functional Materials |
| topic | Computational Physics Materials Science |
| url | https://arxiv.org/abs/2405.02138 |