With the rapid development of data-centric artificial intelligence applications, the discrete features of von Neumann's computing architecture have caused serious access delays and energy consumption for massive data processing. In order to break through the traditional von Neumann computing architecture and realize the integration of storage and computing, the construction of a new type of multifunctional memory with high speed, low power consumption and high density integration is a particularly critical research topic. Two-dimensional materials have received widespread attention due to their unique structure and physical and chemical properties, and have been used to construct various high-performance new storage devices. Professor Jun He’s group has long been engaged in research on new two-dimensional memory devices, including photoelectric memory and memristive transistors based on enhanced defect effects (Nat. Commun. 2019, 10, 4133; Nano Lett. 2020, 20, 4144), and Infrared non-volatile memory based on van der Waals heterojunction (Sci. Adv. 2018, 4, eaap7916), etc. Recently, the research group of Professor Jun He of our school was invited to publish an online review article in the international journal Advanced Materials ("Advanced Materials"): Emerging Two-dimensional Memory Devices for In-memory Computing. The School of Physics and Technology of Wuhan University is the only communication unit for this research. Professor Jun He is the corresponding author, and the postdoctoral fellow Yin Lei is the first author.
The article discusses in detail the latest research progress of two-dimensional memory devices and their applications in in-memory computing. Through a systematic summary of its working principles, the unique advantages of two-dimensional materials in the design of high-performance memory devices are summarized, and their progress in the research of in-memory computing, electronic synaptic simulation, and pattern recognition is introduced. At the same time, the two The application prospects of Dimensional Materials in the next-generation storage technology oriented to artificial intelligence. Finally, the article also discussed in detail the key challenges in the construction, integration and practical application of the current high-performance two-dimensional memory, and looked forward to its future development.
基于二维材料的存储器件示意图
In addition, exploring multi-function devices driven by multiple modes such as light and electricity will provide a new way for the design of inductive storage and computing devices in the future. As the basis of optoelectronic device design, optoelectronic materials and related detection technologies have also received extensive attention. A few days ago, Professor Jun He’s team was invited to publish a review article online in the international journal Advanced Electronic Materials: Recent advances on two-dimensional materials for photodetectors. The School of Physics and Technology of Wuhan University is the only communication unit for this research work. Professor Jun He is the corresponding author, and doctoral student Jiang Jian is the first author. This review gives a detailed introduction to the latest photodetectors based on two-dimensional materials (layered materials and non-layered materials) and their heterojunctions, and explains related methods to improve the performance of the detectors. Finally, based on the current research status and challenges, the future development of the two-dimensional photodetector is prospected.
Paper link:https://onlinelibrary.wiley.com/doi/10.1002/adma.202007081
https://doi.org/10.1002/aelm.202001125
