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| Autori principali: | , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2406.18666 |
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| _version_ | 1866929401460948992 |
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| author | Hemke, Torben Struck, Robin Yarragolla, Sahitya Gergs, Tobias Trieschmann, Jan Mussenbrock, Thomas |
| author_facet | Hemke, Torben Struck, Robin Yarragolla, Sahitya Gergs, Tobias Trieschmann, Jan Mussenbrock, Thomas |
| contents | This study presents the computational modeling and simulation of silver nanoparticle networks (NPNs), which, in the realm of neuromorphic computation, suggest to be a promising candidate for nontraditional computation methods. The modeling of the networks construction, its electrical properties and model parameters are derived from well-established physical principles. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_18666 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Physics-based Modeling and Simulation of Nanoparticle Networks Hemke, Torben Struck, Robin Yarragolla, Sahitya Gergs, Tobias Trieschmann, Jan Mussenbrock, Thomas Materials Science This study presents the computational modeling and simulation of silver nanoparticle networks (NPNs), which, in the realm of neuromorphic computation, suggest to be a promising candidate for nontraditional computation methods. The modeling of the networks construction, its electrical properties and model parameters are derived from well-established physical principles. |
| title | Physics-based Modeling and Simulation of Nanoparticle Networks |
| topic | Materials Science |
| url | https://arxiv.org/abs/2406.18666 |