记忆电阻器
神经形态工程学
光伏
纳米技术
材料科学
卤化物
二极管
光伏系统
瓶颈
计算机科学
光电子学
电气工程
工程类
化学
嵌入式系统
人工智能
人工神经网络
无机化学
作者
Memoona Qammar,Bosen Zou,Jonathan E. Halpert
出处
期刊:Journal of Semiconductors
[IOP Publishing]
日期:2023-09-01
卷期号:44 (9): 091604-091604
被引量:7
标识
DOI:10.1088/1674-4926/44/9/091604
摘要
Abstract Organic-inorganic halides perovskites (OHPs) have drawn the attention of many researchers owing to their astonishing and unique optoelectronic properties. They have been extensively used for photovoltaic applications, achieving higher than 26% power conversion efficiency to date. These materials have potential to be deployed for many other applications beyond photovoltaics like photodetectors, sensors, light-emitting diodes (LEDs), and resistors. To address the looming challenge of Moore's law and the Von Neumann bottleneck, many new technologies regarding the computation of architectures and storage of information are being extensively researched. Since the discovery of the memristor as a fourth component of the circuit, many materials are explored for memristive applications. Lately, researchers have advanced the exploration of OHPs for memristive applications. These materials possess promising memristive properties and various kinds of halide perovskites have been used for different applications that are not only limited to data storage but expand towards artificial synapses, and neuromorphic computing. Herein we summarize the recent advancements of OHPs for memristive applications, their unique electronic properties, fabrication of materials, and current progress in this field with some future perspectives and outlooks.
科研通智能强力驱动
Strongly Powered by AbleSci AI