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MoS2 /Polymer Heterostructures Enabling Stable Resistive Switching and Multistate Randomness.
Chai, Jianwei; Tong, Shiwun; Li, Changjian; Manzano, Carlos; Li, Bing; Liu, Yanpeng; Lin, Ming; Wong, Laimun; Cheng, Jianwei; Wu, Jing; Lau, Aaron; Xie, Qidong; Pennycook, Stephen J; Medina, Henry; Yang, Ming; Wang, Shijie; Chi, Dongzhi.
Afiliação
  • Chai J; Institute of Materials Research and Engineering, Agency for Science, Technology and Research (A*STAR), Innovis, 2 Fusionopolis Way, Singapore, 138634, Singapore.
  • Tong S; Institute of Materials Research and Engineering, Agency for Science, Technology and Research (A*STAR), Innovis, 2 Fusionopolis Way, Singapore, 138634, Singapore.
  • Li C; Department of Materials Science and Engineering, National University of Singapore, 9 Engineering Drive 1, Singapore, 117575, Singapore.
  • Manzano C; Institute of Materials Research and Engineering, Agency for Science, Technology and Research (A*STAR), Innovis, 2 Fusionopolis Way, Singapore, 138634, Singapore.
  • Li B; Institute of Materials Research and Engineering, Agency for Science, Technology and Research (A*STAR), Innovis, 2 Fusionopolis Way, Singapore, 138634, Singapore.
  • Liu Y; State Key Laboratory of Mechanics and Control of Mechanical Structures, MOE Key Laboratory for Intelligent Nano Materials and Devices and Institute of Nano Science, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China.
  • Lin M; Institute of Materials Research and Engineering, Agency for Science, Technology and Research (A*STAR), Innovis, 2 Fusionopolis Way, Singapore, 138634, Singapore.
  • Wong L; Institute of Materials Research and Engineering, Agency for Science, Technology and Research (A*STAR), Innovis, 2 Fusionopolis Way, Singapore, 138634, Singapore.
  • Cheng J; Institute of Materials Research and Engineering, Agency for Science, Technology and Research (A*STAR), Innovis, 2 Fusionopolis Way, Singapore, 138634, Singapore.
  • Wu J; Institute of Materials Research and Engineering, Agency for Science, Technology and Research (A*STAR), Innovis, 2 Fusionopolis Way, Singapore, 138634, Singapore.
  • Lau A; Institute of Materials Research and Engineering, Agency for Science, Technology and Research (A*STAR), Innovis, 2 Fusionopolis Way, Singapore, 138634, Singapore.
  • Xie Q; Department of Materials Science and Engineering, National University of Singapore, 9 Engineering Drive 1, Singapore, 117575, Singapore.
  • Pennycook SJ; Department of Materials Science and Engineering, National University of Singapore, 9 Engineering Drive 1, Singapore, 117575, Singapore.
  • Medina H; Institute of Materials Research and Engineering, Agency for Science, Technology and Research (A*STAR), Innovis, 2 Fusionopolis Way, Singapore, 138634, Singapore.
  • Yang M; Institute of Materials Research and Engineering, Agency for Science, Technology and Research (A*STAR), Innovis, 2 Fusionopolis Way, Singapore, 138634, Singapore.
  • Wang S; Institute of Materials Research and Engineering, Agency for Science, Technology and Research (A*STAR), Innovis, 2 Fusionopolis Way, Singapore, 138634, Singapore.
  • Chi D; Institute of Materials Research and Engineering, Agency for Science, Technology and Research (A*STAR), Innovis, 2 Fusionopolis Way, Singapore, 138634, Singapore.
Adv Mater ; 32(42): e2002704, 2020 Oct.
Article em En | MEDLINE | ID: mdl-32851704
ABSTRACT
Resistive random-access memories (ReRAMs) based on transition metal dichalcogenide layers are promising physical sources for random number generation (RNG). However, most ReRAM devices undergo performance degradation from cycle to cycle, which makes preserving a normal probability distribution during operation a challenging task. Here, ReRAM devices with excellent stability are reported by using a MoS2 /polymer heterostructure as active layer. The stability enhancement manifests in outstanding cumulative probabilities for both high- and low-resistivity states of the memory cells. Moreover, the intrinsic values of the high-resistivity state are found to be an excellent source of randomness as suggested by a Chi-square test. It is demonstrated that one of these cells alone can generate ten distinct random states, in contrast to the four conventional binary cells that would be required for an equivalent number of states. This work unravels a scalable interface engineering process for the production of high-performance ReRAM devices, and sheds light on their promising application as reliable RNGs for enhanced cybersecurity in the big data era.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials Idioma: En Ano de publicação: 2020 Tipo de documento: Article