Cargando…
Probabilistic computing using Cu(0.1)Te(0.9)/HfO(2)/Pt diffusive memristors
A computing scheme that can solve complex tasks is necessary as the big data field proliferates. Probabilistic computing (p-computing) paves the way to efficiently handle problems based on stochastic units called probabilistic bits (p-bits). This study proposes p-computing based on the threshold swi...
Autores principales: | Woo, Kyung Seok, Kim, Jaehyun, Han, Janguk, Kim, Woohyun, Jang, Yoon Ho, Hwang, Cheol Seong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9525628/ https://www.ncbi.nlm.nih.gov/pubmed/36180426 http://dx.doi.org/10.1038/s41467-022-33455-x |
Ejemplares similares
-
Memristors with Nociceptor Characteristics Using Threshold Switching of Pt/HfO(2)/TaOx/TaN Devices
por: Park, Minsu, et al.
Publicado: (2022) -
Multi-Level Analog Resistive Switching Characteristics in Tri-Layer HfO(2)/Al(2)O(3)/HfO(2) Based Memristor on ITO Electrode
por: Mahata, Chandreswar, et al.
Publicado: (2020) -
Statistical characteristics of reset switching in Cu/HfO(2)/Pt resistive switching memory
por: Zhang, Meiyun, et al.
Publicado: (2014) -
Bipolar Cu/HfO(2)/p(++) Si Memristors by Sol-Gel Spin Coating Method and Their Application to Environmental Sensing
por: Abdul Hadi, Sabina, et al.
Publicado: (2019) -
A Multi-level Memristor Based on Al-Doped HfO(2) Thin Film
por: Wu, Lei, et al.
Publicado: (2019)