期刊
ECOMAT
卷 3, 期 6, 页码 -出版社
WILEY
DOI: 10.1002/eom2.12142
关键词
halide perovskites; memristors; neuromorphic; synaptic devices
类别
资金
- Ministry of Science and Technology of Taiwan [MOST 107-2221-E-006-190-MY3, MOST 108-2218-E-006-043-MY3, MOST 109-2221-E-006-110-MY3, MOST 109-2221-E-006-114-MY3, MOST 110-2221-E-006-200, MOST 109-2634-F006-020, MOST 110-2636-E-006-025]
- Higher Education Sprout Project, Ministry of Education
- Ministry of Education (MOE)
- Hierarchical Green-Energy Materials (Hi-GEM) Research Center
Organic-inorganic halide perovskite compounds show promise as components for neuromorphic devices due to their strong light absorption, solution processability, and unique properties, such as ion migration, carrier trapping effects, and phase transition, enabling energy-efficient computing.
The rapid emergency of data science, information technology, and artificial intelligence (AI) relies on massive data processing with high computing efficiency and low power consumption. However, the current von-Neumann architecture system requires high-energy budget to process data computing and storage between central computing unit and memory. To overcome this problem, neuromorphic computing system which mimics the operation of human brain has been proposed to perform computing in an energy-efficient manner. Recently, organic-inorganic halide perovskite compounds have been demonstrated as promising components for neuromorphic devices owing to their strong light absorption, solution processability, and unique properties such as ion migration, carrier trapping effects and phase transition. In this review paper, we report recent advances of neuromorphic devices which employed organic-inorganic halide perovskite compounds by analyzing their fundamental operating mechanisms, device architectures, applications and future prospective.
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