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Updated: Jun 20, 2025

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
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基于数组的概率学图形建模的记忆式横条图形建模

Yoon Ho Jang1, Soo Hyung Lee1, Janguk Han1

  • 1Department of Materials Science and Engineering and Inter-university Semiconductor Research Center, College of Engineering, Seoul National University, Seoul, 08826, Republic of Korea.

Advanced materials (Deerfield Beach, Fla.)
|July 20, 2024
PubMed
概括

本研究为复杂图形数据引入了一个基于CBA的概率图形模型 (C-PGM). C-PGM利用memristor变异进行更快,更可靠的概率计算,降低计算成本.

关键词:
交叉条数组 (CBA) 是一个交叉条数组.本向量分解的分解概率图形建模的概率图形建模自行纠正的memristor可以自行纠正.稳定状态的估计.

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