论文类型：期刊论文
第一作者：林俊,麦贤良,徐明
通讯作者：缪向水,周鹏,徐明
合写作者：侯祥,童浩,何毓辉,李祎,张伟
发表刊物：Advanced Functional Materials
所属单位：华中科技大学、复旦大学、西安交通大学
学科门类：工学
一级学科：电子科学与技术
文献类型：J
卷号：30
期号：50
页面范围：2003419
关键字：artificial neurons, artificial synapses, memory, neurocomputing, phase change materials
DOI码：10.1002/adfm.202003419
发表时间：4411-05-01
摘要：Traditional von Neumann computing architecture with separated computa-tion and storage units has already impeded the data processing performance and energy efficiency, calling for emerging neuromorphic electronic and optical devices and systems which can mimic the human brain to shift this paradigm. Material-level innovation has become the key component to this revolution of information technology. Chalcogenide phase-change material (PCM) as a well-acknowledged data-storage medium is a promising candi-date to tackle this challenge. In this review, the use of PCMs to implement artificial neurons and synapses from both the electronic and optical respects is discussed, and in particular, the structure–property physics and transition dynamics that enable such brain-inspired and in-memory computing applica-tions are emphasized. Recent advances on the atomic-level amorphous and crystalline structures, transition mechanisms, materials optimization and design, neural and synaptic devices, brain-inspired chips, and computing systems, as well as the future opportunities of PCMs, are summarized and discussed.
发布期刊链接：https://onlinelibrary.wiley.com/doi/full/10.1002/adfm.202003419