A review of memristor: material and structure design, device performance, applications and prospects
Y Xiao, B Jiang, Z Zhang, S Ke, Y Jin… - … and Technology of …, 2023 - Taylor & Francis
With the booming growth of artificial intelligence (AI), the traditional von Neumann
computing architecture based on complementary metal oxide semiconductor devices are …
computing architecture based on complementary metal oxide semiconductor devices are …
Memristor-based neural networks: a bridge from device to artificial intelligence
Since the beginning of the 21st century, there is no doubt that the importance of artificial
intelligence has been highlighted in many fields, among which the memristor-based artificial …
intelligence has been highlighted in many fields, among which the memristor-based artificial …
Metaplastic and energy-efficient biocompatible graphene artificial synaptic transistors for enhanced accuracy neuromorphic computing
CMOS-based computing systems that employ the von Neumann architecture are relatively
limited when it comes to parallel data storage and processing. In contrast, the human brain …
limited when it comes to parallel data storage and processing. In contrast, the human brain …
CogniFiber: Harnessing Biocompatible and Biodegradable 1D Collagen Nanofibers for Sustainable Nonvolatile Memory and Synaptic Learning Applications
Here, resistive switching (RS) devices are fabricated using naturally abundant, nontoxic,
biocompatible, and biodegradable biomaterials. For this purpose, 1D chitosan nanofibers …
biocompatible, and biodegradable biomaterials. For this purpose, 1D chitosan nanofibers …
A flexible corn starch‐based biomaterial device integrated with capacitive‐coupled memristive memory, mechanical stress sensing, synapse, and logic operation …
Biomaterials‐based electronic devices (BEDs) have remarkable advantages such as
biocompatibility and biodegradability, which are expected to have promising prospects in …
biocompatibility and biodegradability, which are expected to have promising prospects in …
Memristors with biomaterials for biorealistic neuromorphic applications
Electronic devices with biomaterials have paved a way toward “green electronics” to create
a sustainable future. Memristors are drawing growing attention with integrated sensing …
a sustainable future. Memristors are drawing growing attention with integrated sensing …
3D trigonal FAPbI3‐based multilevel resistive switching nonvolatile memory for artificial neural synapse
L Tao, B Jiang, S Ma, Y Zhang, Y Huang, Y Pan… - …, 2024 - Wiley Online Library
Hybrid perovskites have attracted enormous attention in the next generation resistive
switching (RS) memristor for the artificial synapses, owing to their ambipolar charge …
switching (RS) memristor for the artificial synapses, owing to their ambipolar charge …
[HTML][HTML] A physics-oriented memristor model with the coexistence of NDR effect and RS memory behavior for bio-inspired computing
Bio-inspired computing promises fundamentally different ways to advances in artificial
intelligence with extreme energy efficiency. Memristive technologies due to the non-volatility …
intelligence with extreme energy efficiency. Memristive technologies due to the non-volatility …
Tunable Resistive Switching in 2D MXene Ti3C2 Nanosheets for Non-Volatile Memory and Neuromorphic Computing
X Zhang, H Chen, S Cheng, F Guo… - ACS Applied Materials …, 2022 - ACS Publications
An artificial synapse is essential for neuromorphic computing which has been expected to
overcome the bottleneck of the traditional von-Neumann system. Memristors can work as an …
overcome the bottleneck of the traditional von-Neumann system. Memristors can work as an …
Emerging memristive artificial neuron and synapse devices for the neuromorphic electronics era
Growth of data eases the way to access the world but requires increasing amounts of energy
to store and process. Neuromorphic electronics has emerged in the last decade, inspired by …
to store and process. Neuromorphic electronics has emerged in the last decade, inspired by …