Porous crystalline materials for memories and neuromorphic computing systems

G Ding, JY Zhao, K Zhou, Q Zheng, ST Han… - Chemical Society …, 2023 - pubs.rsc.org
Porous crystalline materials usually include metal–organic frameworks (MOFs), covalent
organic frameworks (COFs), hydrogen-bonded organic frameworks (HOFs) and zeolites …

Covalent organic frameworks for neuromorphic devices

K Zhou, Z Jia, Y Zhou, G Ding, XQ Ma… - The Journal of …, 2023 - ACS Publications
Neuromorphic computing could enable the potential to break the inherent limitations of
conventional von Neumann architectures, which has led to widespread research interest in …

Visual growth of nano-HOFs for low‐power memristive spiking neuromorphic system

C Zhang, Y Li, F Yu, G Wang, K Wang, C Ma, X Yang… - Nano Energy, 2023 - Elsevier
Memristors showcasing progressive conductance modulation are now recognized as one of
the most promising candidates to act like electronic synapses inside computer circuits …

Flexible, Transparent, and Wafer‐Scale Artificial Synapse Array Based on TiOx/Ti3C2Tx Film for Neuromorphic Computing

J Huang, S Yang, X Tang, L Yang, W Chen… - Advanced …, 2023 - Wiley Online Library
A high‐density neuromorphic computing memristor array based on 2D materials paves the
way for next‐generation information‐processing components and in‐memory computing …

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 …

Asymmetric Schottky contacts induced via localized ultrafast laser irradiation for ultrasensitive, self-powered, 2D photodetectors

J Peng, G Zou, J Huo, Y Xiao, T Sun, Z Li, B Feng, L Liu - Nano Energy, 2023 - Elsevier
Self-powered photodetectors hold great promise for addressing power-related challenges in
the “Internet of Things (IoT)” era. However, the self-powered performances of a metal …

Emerging higher-order memristors for bio-realistic neuromorphic computing: A review

R Chaurasiya, LC Shih, KT Chen, JS Chen - Materials Today, 2023 - Elsevier
Memristor devices offer an alternative route to transistor scaling and the exponential growth
of computational resources. Numerous memristors have the potential to be used in …

High‐Performance Memristors Based on Few‐Layer Manganese Phosphorus Trisulfide for Neuromorphic Computing

Z Weng, H Zheng, W Lei, H Jiang… - Advanced Functional …, 2024 - Wiley Online Library
While transition‐metal thiophosphate (MPX3) materials have been a subject of extensive
research in recent years, experimental studies on MPX3‐based memristors are still in their …

Novel 2D MXene-based materials in memristors: fundamentals, resistive switching properties and applications

L Lv, P Zhang, X Yang, H Wan, G Ma, H Wang - Surfaces and Interfaces, 2023 - Elsevier
As the fourth kind of passive device, memristors possess the advantages of non-volatile
storage, high performance, low power consumption, fast switching speed and many other …

A Conjugated Polymer Bearing Perylenediimide (PDI) and Ferrocene (Fc) Exhibiting Stable Data‐Storage Performance

Y Han, J Shen, Q Zhao, M Zhou, D Zhu… - Advanced Functional …, 2023 - Wiley Online Library
Polymeric materials have been widely researched and used as active‐layers to fabricate
data‐storage resistance random‐access memory (ReRAM) devices. Nevertheless, the …