记忆电阻器
材料科学
神经形态工程学
灵活性(工程)
纳米技术
超分子化学
反离子
生物电子学
化学物理
分子动力学
分子电子学
分子
离子
计算机科学
电子工程
物理
计算化学
化学
生物传感器
统计
数学
量子力学
机器学习
人工神经网络
工程类
作者
Santi Prasad Rath,Damien Thompson,Sreebrata Goswami,Sreetosh Goswami
标识
DOI:10.1002/adma.202204551
摘要
Electronic transitions in molecular-circuit elements hinge on complex interactions between molecules and ions, offering a multidimensional parameter space to embed, access, and optimize material functionalities for target-specific applications. This opportunity is not cultivated in molecular memristors because their low-temperature charge transport, which is a route to decipher molecular many-body interactions, is unexplored. To address this, robust, temperature-resilient molecular memristors based on a Ru complex of an azo aromatic ligand are designed, and current-voltage sweep measurements from room temperature down to 2 K with different cooling protocols are performed. By freezing out or activating different components of supramolecular dynamics, the local Coulombic interactions between the molecules and counterions that affect the electronic transport can be controlled. Operating conditions are designed where functionalities spanning bipolar, unipolar, nonvolatile, and volatile memristors with sharp as well as gradual analog transitions are captured within a single device. A mathematical design space evolves, thereof comprising 36 tuneable parameters in which all possible steady-state functional variations in a memristor characteristic can be attainable. This enables a deterministic design route to engineer neuromorphic devices with unprecedented control over the transformation characteristics governing their functional flexibility and tunability.
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