High-throughput phase-field simulations and machine learning of resistive switching in resistive random-access memory
Abstract Metal oxide-based Resistive Random-Access Memory (RRAM) exhibits multiple resistance states, arising from the activation/deactivation of a conductive filament (CF) inside a switching layer. Understanding CF formation kinetics is critical to achieving optimal functionality of RRAM. Here a ph...
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| Auteurs principaux: | , , , , , |
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| Format: | article |
| Langue: | EN |
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Nature Portfolio
2020
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| Accès en ligne: | https://doaj.org/article/a30904cc19e94eaf90e48eac97ae9b94 |
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