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 …

Synthesis, modulation, and application of two-dimensional TMD heterostructures

R Wu, H Zhang, H Ma, B Zhao, W Li, Y Chen… - Chemical …, 2024 - ACS Publications
Two-dimensional (2D) transition metal dichalcogenide (TMD) heterostructures have
attracted a lot of attention due to their rich material diversity and stack geometry, precise …

2D material based synaptic devices for neuromorphic computing

G Cao, P Meng, J Chen, H Liu, R Bian… - Advanced Functional …, 2021 - Wiley Online Library
The demand for computing power has been increasing exponentially since the emergence
of artificial intelligence (AI), internet of things (IoT), and machine learning (ML), where novel …

Anomalous resistive switching in memristors based on two-dimensional palladium diselenide using heterophase grain boundaries

Y Li, L Loh, S Li, L Chen, B Li, M Bosman, KW Ang - Nature Electronics, 2021 - nature.com
The implementation of memristive synapses in neuromorphic computing is hindered by the
limited reproducibility and high energy consumption of the switching behaviour of the …

Variability in resistive memories

JB Roldán, E Miranda, D Maldonado… - Advanced Intelligent …, 2023 - Wiley Online Library
Resistive memories are outstanding electron devices that have displayed a large potential in
a plethora of applications such as nonvolatile data storage, neuromorphic computing …

Memristive devices based on two-dimensional transition metal chalcogenides for neuromorphic computing

KC Kwon, JH Baek, K Hong, SY Kim, HW Jang - Nano-Micro Letters, 2022 - Springer
Abstract Two-dimensional (2D) transition metal chalcogenides (TMC) and their
heterostructures are appealing as building blocks in a wide range of electronic and …

In‐Memory Computing using Memristor Arrays with Ultrathin 2D PdSeOx/PdSe2 Heterostructure

Y Li, S Chen, Z Yu, S Li, Y **ong, ME Pam… - Advanced …, 2022 - Wiley Online Library
In‐memory computing based on memristor arrays holds promise to address the speed and
energy issues of the classical von Neumann computing system. However, the stochasticity of …

MoS2 Synapses with Ultra-low Variability and Their Implementation in Boolean Logic

A Krishnaprasad, D Dev, SS Han, Y Shen, HS Chung… - ACS …, 2022 - ACS Publications
Brain-inspired computing enabled by memristors has gained prominence over the years due
to the nanoscale footprint and reduced complexity for implementing synapses and neurons …

Heterosynaptic MoS2 Memtransistors Emulating Biological Neuromodulation for Energy‐Efficient Neuromorphic Electronics

W Huh, D Lee, S Jang, JH Kang, TH Yoon… - Advanced …, 2023 - Wiley Online Library
Heterosynaptic neuromodulation is a key enabler for energy‐efficient and high‐level
biological neural processing. However, such manifold synaptic modulation cannot be …

Novel charm of 2D materials engineering in memristor: when electronics encounter layered morphology

S Batool, M Idrees, SR Zhang, ST Han, Y Zhou - Nanoscale Horizons, 2022 - pubs.rsc.org
The family of two-dimensional (2D) materials composed of atomically thin layers connected
via van der Waals interactions has attracted much curiosity due to a variety of intriguing …