可扩展性
异质结
冯·诺依曼建筑
计算机科学
纳米技术
高效能源利用
分布式计算
材料科学
电气工程
工程类
光电子学
数据库
操作系统
作者
Fan Shu,Weilin Chen,Yu Chen,Gang Liu
标识
DOI:10.1002/marc.202400529
摘要
Abstract Brainoid computing using 2D atomic crystals and their heterostructures, by emulating the human brain's remarkable efficiency and minimal energy consumption in information processing, poses a formidable solution to the energy‐efficiency and processing speed constraints inherent in the von Neumann architecture. However, conventional 2D material based heterostructures employed in brainoid devices are beset with limitations, performance uniformity, fabrication intricacies, and weak interfacial adhesion, which restrain their broader application. The introduction of novel 2D atomic‐molecular heterojunctions (2DAMH), achieved through covalent functionalization of 2D materials with functional molecules, ushers in a new era for brain‐like devices by providing both stability and tunability of functionalities. This review chiefly delves into the electronic attributes of 2DAMH derived from the synergy of polymer materials with 2D materials, emphasizing the most recent advancements in their utilization within memristive devices, particularly their potential in replicating the functionality of biological synapses. Despite ongoing challenges pertaining to precision in modification, scalability in production, and the refinement of underlying theories, the proliferation of innovative research is actively pursuing solutions. These endeavors illuminate the vast potential for incorporating 2DAMH within brain‐inspired intelligent systems, highlighting the prospect of achieving a more efficient and energy‐conserving computing paradigm.
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