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 …
organic frameworks (COFs), hydrogen-bonded organic frameworks (HOFs) and zeolites …
Memristor-based artificial chips
Memristors, promising nanoelectronic devices with in-memory resistive switching behavior
that is assembled with a physically integrated core processing unit (CPU) and memory unit …
that is assembled with a physically integrated core processing unit (CPU) and memory unit …
A human‐computer interaction strategy for an FPGA platform boosted integrated “perception‐memory” system based on electronic tattoos and memristors
Y Li, Z Qiu, H Kan, Y Yang, J Liu, Z Liu… - Advanced …, 2024 - Wiley Online Library
The integrated “perception‐memory” system is receiving increasing attention due to its
crucial applications in humanoid robots, as well as in the simulation of the human retina and …
crucial applications in humanoid robots, as well as in the simulation of the human retina and …
Nanomaterials for flexible neuromorphics
G Ding, H Li, JY Zhao, K Zhou, Y Zhai, Z Lv… - Chemical …, 2024 - ACS Publications
The quest to imbue machines with intelligence akin to that of humans, through the
development of adaptable neuromorphic devices and the creation of artificial neural …
development of adaptable neuromorphic devices and the creation of artificial neural …
Two-Dimensional Materials for Brain-Inspired Computing Hardware
Recent breakthroughs in brain-inspired computing promise to address a wide range of
problems from security to healthcare. However, the current strategy of implementing artificial …
problems from security to healthcare. However, the current strategy of implementing artificial …
Reconfigurable Neuromorphic Computing with 2D Material Heterostructures for Versatile Neural Information Processing
Reconfigurable neuromorphic computing holds promise for advancing energy-efficient
neural network implementation and functional versatility. Previous work has focused on …
neural network implementation and functional versatility. Previous work has focused on …
Homochiral chemistry strategy to trigger second-harmonic generation and dual dielectric switches
BW Deng, Y Zhu, K Ding, J Li, MM Lun, DW Fu… - Inorganic …, 2023 - ACS Publications
Switchable materials have attracted enormous interest due to their promising applications in
important fields such as sensing, electronic components, and information storage …
important fields such as sensing, electronic components, and information storage …
Device physics recipe to make spiking neurons
J Bisquert - Chemical Physics Reviews, 2023 - pubs.aip.org
Neurons, which are made of biological tissue, exhibit cognitive properties that can be
replicated in various material substrates. To create brain-inspired computational artificial …
replicated in various material substrates. To create brain-inspired computational artificial …
Multilevel Conductance States of Vapor‐Transport‐Deposited Sb2S3 Memristors Achieved via Electrical and Optical Modulation
The pursuit of advanced brain‐inspired electronic devices and memory technologies has led
to explore novel materials by processing multimodal and multilevel tailored conductive …
to explore novel materials by processing multimodal and multilevel tailored conductive …
Single Wavelength Operating Neuromorphic Device Based on a Graphene–Ferroelectric Transistor
As global data generation continues to rise, there is an increasing demand for revolutionary
in-memory computing methodologies and efficient machine learning solutions. Despite …
in-memory computing methodologies and efficient machine learning solutions. Despite …