Neuromorphic properties of flexible carbon nanotube/polydimethylsiloxane nanocomposites

R Liu, JG Kim, P Dhakal, W Li, J Ma, A Hou… - … Composites and Hybrid …, 2023 - Springer
Neuromorphic materials are promising for fabricating artificial synapses for flexible
electronics, but they are usually expensive and lack a good combination of electronic and …

Research progress of artificial neural systems based on memristors

Z Tang, B Sun, G Zhou, Y Zhou, Z Cao, X Duan… - Materials Today …, 2024 - Elsevier
The artificial nervous system includes electronic devices designed to simulate the functions
of the biological nervous system, thereby endowing them with the ability to perceive …

Room‐Temperature Wide‐Gap Inorganic Materials with Excellent Plasticity

H Huang, H Chen, Z Gao, Y Ma, K Zhao… - Advanced Functional …, 2023 - Wiley Online Library
In general, inorganic non‐metallic materials exhibit brittleness, and achieving plasticity in
wide‐gap semiconductors or dielectrics poses an even greater challenge. Historically, silver …

A flexible corn starch‐based biomaterial device integrated with capacitive‐coupled memristive memory, mechanical stress sensing, synapse, and logic operation …

B Sun, Y Chen, G Zhou, Y Zhou, T Guo… - Advanced Electronic …, 2023 - Wiley Online Library
Biomaterials‐based electronic devices (BEDs) have remarkable advantages such as
biocompatibility and biodegradability, which are expected to have promising prospects in …

Full-Inorganic Flexible Ag2S Memristor with Interface Resistance–Switching for Energy-Efficient Computing

Y Zhu, J Liang, X Shi, Z Zhang - ACS Applied Materials & …, 2022 - ACS Publications
Flexible memristor-based neural network hardware is capable of implementing parallel
computation within the memory units, thus holding great promise for fast and energy-efficient …

Promising materials and synthesis methods for resistive switching memory devices: a status review

GU Kamble, AP Patil, RK Kamat, JH Kim… - ACS Applied …, 2023 - ACS Publications
In recent years, the emergence of memory devices, especially resistive random-access
memories (RRAM), has been a front-runner in many technological applications. This is due …

Self‐assembled vapor-transport-deposited SnS nanoflake-based memory devices with synaptic learning properties

AC Khot, PS Pawar, TD Dongale, KA Nirmal… - Applied Surface …, 2024 - Elsevier
The most salient features of resistive switching (RS) devices are low energy consumption,
fast switching speed, and high-density integration, which render them promising candidates …

Flexible Zn‐TCPP Nanosheet‐Based Memristor for Ultralow‐Power Biomimetic Sensing System and High‐Precision Gesture Recognition

Y Wang, J Su, G Ouyang, S Geng… - Advanced Functional …, 2024 - Wiley Online Library
The flexible biomimetic sensory system inspired by biology exhibits learning, memory, and
cognitive behavior toward external stimuli, providing a promising direction for the future …

Recent advances in flexible memristors for advanced computing and sensing

J Xu, Z Luo, L Chen, X Zhou, H Zhang, Y Zheng… - Materials …, 2024 - pubs.rsc.org
Conventional computing systems based on von Neumann architecture face challenges such
as high power consumption and limited data processing capability. Improving device …

AgBiS 2 quantum dot based multilevel resistive switching for low power electronics

H Sharma, N Saini, A Kumar… - Journal of Materials …, 2023 - pubs.rsc.org
In the ever-expanding digital landscape, efficient solutions are needed that offer mass-
producible, high-density, and low-power data storage capabilities to fulfill the growing …