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Small footprint transistor architecture for photoswitching logic and in situ memory.

Chunsen LiuHuawei ChenXiang HouHeng ZhangJun HanYu-Gang JiangXiaoyang ZengDavid Wei ZhangPeng Zhou
Published in: Nature nanotechnology (2019)
The need for continuous size downscaling of silicon transistors is driving the industrial development of strategies to enable further footprint reduction1,2. The atomic thickness of two-dimensional materials allows the potential realization of high-area-efficiency transistor architectures. However, until now, the design of devices composed of two-dimensional materials has mimicked the basic architecture of silicon circuits3-6. Here, we report a transistor based on a two-dimensional material that can realize photoswitching logic (OR, AND) computing in a single cell. Unlike the conventional transistor working mechanism, the two-dimensional material logic transistor has two surface channels. Furthermore, the material thickness can change the logic behaviour-the architecture can be flexibly expanded to achieve in situ memory such as logic computing and data storage convergence in the same device. These devices are potentially promising candidates for the construction of new chips that can perform computing and storage with high area-efficiency and unique functions.
Keyphrases
  • single cell
  • working memory
  • optical coherence tomography
  • high throughput
  • rna seq
  • wastewater treatment
  • electronic health record
  • machine learning
  • deep learning
  • artificial intelligence