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 …
Memristor based on inorganic and organic two-dimensional materials: mechanisms, performance, and synaptic applications
K Liao, P Lei, M Tu, S Luo, T Jiang… - ACS Applied Materials …, 2021 - ACS Publications
A memristor is a two-terminal device with nonvolatile resistive switching (RS) behaviors.
Recently, memristors have been highly desirable for both fundamental research and …
Recently, memristors have been highly desirable for both fundamental research and …
Memristive devices based on two-dimensional transition metal chalcogenides for neuromorphic computing
Abstract Two-dimensional (2D) transition metal chalcogenides (TMC) and their
heterostructures are appealing as building blocks in a wide range of electronic and …
heterostructures are appealing as building blocks in a wide range of electronic and …
Emerging MXene‐Based Memristors for In‐Memory, Neuromorphic Computing, and Logic Operation
Confronted by the difficulties of the von Neumann bottleneck and memory wall, traditional
computing systems are gradually inadequate for satisfying the demands of future data …
computing systems are gradually inadequate for satisfying the demands of future data …
Compute in‐memory with non‐volatile elements for neural networks: A review from a co‐design perspective
W Haensch, A Raghunathan, K Roy… - Advanced …, 2023 - Wiley Online Library
Deep learning has become ubiquitous, touching daily lives across the globe. Today,
traditional computer architectures are stressed to their limits in efficiently executing the …
traditional computer architectures are stressed to their limits in efficiently executing the …
Surface Modification of a Titanium Carbide MXene Memristor to Enhance Memory Window and Low‐Power Operation
NB Mullani, DD Kumbhar, DH Lee… - Advanced Functional …, 2023 - Wiley Online Library
With the demand for low‐power‐operating artificial intelligence systems, bio‐inspired
memristor devices exhibit potential in terms of high‐density memory functions and the …
memristor devices exhibit potential in terms of high‐density memory functions and the …
Two-dimensional materials-based probabilistic synapses and reconfigurable neurons for measuring inference uncertainty using Bayesian neural networks
Artificial neural networks have demonstrated superiority over traditional computing
architectures in tasks such as pattern classification and learning. However, they do not …
architectures in tasks such as pattern classification and learning. However, they do not …
Bioactive 2D nanomaterials for neural repair and regeneration
X He, Y Zhu, B Ma, X Xu, R Huang, L Cheng… - Advanced Drug Delivery …, 2022 - Elsevier
Biomaterials have provided promising strategies towards improving the functions of injured
tissues of the nervous system. Recently, 2D nanomaterials, such as graphene, layered …
tissues of the nervous system. Recently, 2D nanomaterials, such as graphene, layered …
Resistive switching crossbar arrays based on layered materials
Resistive switching (RS) devices are metal/insulator/metal cells that can change their
electrical resistance when electrical stimuli are applied between the electrodes, and they …
electrical resistance when electrical stimuli are applied between the electrodes, and they …
2D-material-based volatile and nonvolatile memristive devices for neuromorphic computing
Neuromorphic computing can process large amounts of information in parallel and provides
a powerful tool to solve the von Neumann bottleneck. Constructing an artificial neural …
a powerful tool to solve the von Neumann bottleneck. Constructing an artificial neural …