2D heterostructures for ubiquitous electronics and optoelectronics: principles, opportunities, and challenges

PV Pham, SC Bodepudi, K Shehzad, Y Liu, Y Xu… - Chemical …, 2022 - ACS Publications
A grand family of two-dimensional (2D) materials and their heterostructures have been
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 …

Electronic/optoelectronic memory device enabled by tellurium‐based 2D van der Waals heterostructure for in‐sensor reservoir computing at the optical …

J Zha, S Shi, A Chaturvedi, H Huang, P Yang… - Advanced …, 2023 - Wiley Online Library
Although 2D materials are widely explored for data storage and neuromorphic computing,
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

G Dastgeer, S Nisar, A Rasheed, K Akbar, VD Chavan… - Nano Energy, 2024 - Elsevier
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 …

The road for 2D semiconductors in the silicon age

S Wang, X Liu, P Zhou - Advanced Materials, 2022 - Wiley Online Library
Continued reduction in transistor size can improve the performance of silicon integrated
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

G Migliato Marega, HG Ji, Z Wang, G Pasquale… - Nature …, 2023 - nature.com
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 …

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 …

Raman spectroscopy of graphene-based materials and its applications in related devices

JB Wu, ML Lin, X Cong, HN Liu, PH Tan - Chemical Society Reviews, 2018 - pubs.rsc.org
Graphene-based materials exhibit remarkable electronic, optical, and mechanical
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

L Wu, A Wang, J Shi, J Yan, Z Zhou, C Bian… - Nature …, 2021 - nature.com
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 …

Semiconductor quantum dots for memories and neuromorphic computing systems

Z Lv, Y Wang, J Chen, J Wang, Y Zhou… - Chemical reviews, 2020 - ACS Publications
The continued growth in the demand of data storage and processing has spurred the
development of high-performance storage technologies and brain-inspired neuromorphic …