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2D heterostructures for ubiquitous electronics and optoelectronics: principles, opportunities, and challenges
A grand family of two-dimensional (2D) materials and their heterostructures have been
discovered through the extensive experimental and theoretical efforts of chemists, material …
discovered through the extensive experimental and theoretical efforts of chemists, material …
The roadmap of 2D materials and devices toward chips
A Liu, X Zhang, Z Liu, Y Li, X Peng, X Li, Y Qin, C Hu… - Nano-Micro Letters, 2024 - Springer
Due to the constraints imposed by physical effects and performance degradation, silicon-
based chip technology is facing certain limitations in sustaining the advancement of Moore's …
based chip technology is facing certain limitations in sustaining the advancement of Moore's …
Electronic/optoelectronic memory device enabled by tellurium‐based 2D van der Waals heterostructure for in‐sensor reservoir computing at the optical …
Although 2D materials are widely explored for data storage and neuromorphic computing,
the construction of 2D material‐based memory devices with optoelectronic responsivity in …
the construction of 2D material‐based memory devices with optoelectronic responsivity in …
Atomically engineered, high-speed non-volatile flash memory device exhibiting multibit data storage operations
Non-volatile memory devices, which offer large capacity and mechanical dependability as a
mainstream technology, have played a key role in fostering innovation in modern …
mainstream technology, have played a key role in fostering innovation in modern …
The road for 2D semiconductors in the silicon age
Continued reduction in transistor size can improve the performance of silicon integrated
circuits (ICs). However, as Moore's law approaches physical limits, high‐performance …
circuits (ICs). However, as Moore's law approaches physical limits, high‐performance …
A large-scale integrated vector–matrix multiplication processor based on monolayer molybdenum disulfide memories
Data-driven algorithms—such as signal processing and artificial neural networks—are
required to process and extract meaningful information from the massive amounts of data …
required to process and extract meaningful information from the massive amounts of data …
Two-dimensional semiconductors and transistors for future integrated circuits
L Yin, R Cheng, J Ding, J Jiang, Y Hou, X Feng… - ACS …, 2024 - ACS Publications
Silicon transistors are approaching their physical limit, calling for the emergence of a
technological revolution. As the acknowledged ultimate version of transistor channels, 2D …
technological revolution. As the acknowledged ultimate version of transistor channels, 2D …
Raman spectroscopy of graphene-based materials and its applications in related devices
Graphene-based materials exhibit remarkable electronic, optical, and mechanical
properties, which has resulted in both high scientific interest and huge potential for a variety …
properties, which has resulted in both high scientific interest and huge potential for a variety …
Atomically sharp interface enabled ultrahigh-speed non-volatile memory devices
The development of high-performance memory devices has played a key role in the
innovation of modern electronics. Non-volatile memory devices have manifested high …
innovation of modern electronics. Non-volatile memory devices have manifested high …
Semiconductor quantum dots for memories and neuromorphic computing systems
The continued growth in the demand of data storage and processing has spurred the
development of high-performance storage technologies and brain-inspired neuromorphic …
development of high-performance storage technologies and brain-inspired neuromorphic …