APL machine learning
Research for two communities: researchers who use machine learning (ML) and data-driven approaches for physical sciences and related disciplines, and researchers from these disciplines who work on novel concepts, including materials, devices, systems, and algorithms relevant for the development of b...
| Formato: | Seriada digital |
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| Idioma: | Inglés |
| Publicado: |
[Melville, New York] :
AIP Publishing, LLC
2023-
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009775638006719 |
| Sumario: | Research for two communities: researchers who use machine learning (ML) and data-driven approaches for physical sciences and related disciplines, and researchers from these disciplines who work on novel concepts, including materials, devices, systems, and algorithms relevant for the development of better ML and AI technologies. The journal also considers research that substantially describes quantitative models and theories, especially if the research is validated with experimental results. |
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| Publicado: | Began with: Volume 1, Issue 1 (March 2023) |
| Notas: | Refereed/Peer-reviewed |
| Frecuencia de Publicación: | Quarterly |
