DESIGN OF HIGH MECHANICAL PERFORMANCE CARBON NANOTUBE STRUCTURE: MACHINE-LEARNING ASSISTED HIGH-THROUGHPUT MOLECULAR DYNAMICS SIMULATION APPROACH
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| Auteurs principaux: | , , |
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| Format: | Recurso digital |
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Zenodo
2023
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| _version_ | 1866901629542858752 |
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| author | Go Yamamoto Yu Chen Yi Xiang |
| author_facet | Go Yamamoto Yu Chen Yi Xiang |
| contents | We explore the relationship between geometrical parameters and mechanical properties of CNTs using machine-learning assisted high-throughput molecular dynamics simulation technique. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15363926 |
| institution | Zenodo |
| language | |
| publishDate | 2023 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | DESIGN OF HIGH MECHANICAL PERFORMANCE CARBON NANOTUBE STRUCTURE: MACHINE-LEARNING ASSISTED HIGH-THROUGHPUT MOLECULAR DYNAMICS SIMULATION APPROACH Go Yamamoto Yu Chen Yi Xiang We explore the relationship between geometrical parameters and mechanical properties of CNTs using machine-learning assisted high-throughput molecular dynamics simulation technique. |
| title | DESIGN OF HIGH MECHANICAL PERFORMANCE CARBON NANOTUBE STRUCTURE: MACHINE-LEARNING ASSISTED HIGH-THROUGHPUT MOLECULAR DYNAMICS SIMULATION APPROACH |
| url | https://doi.org/10.5281/zenodo.15363926 |