Neuro-inspired electronic skin for robots

F Liu, S Deswal, A Christou, Y Sandamirskaya… - Science robotics, 2022 - science.org
Touch is a complex sensing modality owing to large number of receptors (mechano, thermal,
pain) nonuniformly embedded in the soft skin all over the body. These receptors can gather …

Imperfection-enabled memristive switching in van der Waals materials

M Li, H Liu, R Zhao, FS Yang, M Chen, Y Zhuo… - Nature …, 2023 - nature.com
Memristive devices can offer dynamic behaviour, analogue programmability, and scaling
and integration capabilities. As a result, they are of potential use in the development of …

Artificial neuronal devices based on emerging materials: neuronal dynamics and applications

H Liu, Y Qin, HY Chen, J Wu, J Ma, Z Du… - Advanced …, 2023 - Wiley Online Library
Artificial neuronal devices are critical building blocks of neuromorphic computing systems
and currently the subject of intense research motivated by application needs from new …

Two-Dimensional Materials for Brain-Inspired Computing Hardware

S Hadke, MA Kang, VK Sangwan… - Chemical Reviews, 2025 - ACS Publications
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 …

Memristors based on NdNiO 3 nanocrystals film as sensory neurons for neuromorphic computing

J Zhao, Y Ran, Y Pei, Y Wei, J Sun, Z Zhang… - Materials …, 2023 - pubs.rsc.org
By mimicking the behavior of the human brain, artificial neural systems offer the possibility to
further improve computing efficiency and solve the von Neumann bottleneck. In particular …

Low-voltage solution-processed artificial optoelectronic hybrid-integrated neuron based on 2D MXene for multi-task spiking neural network

R Yu, X Zhang, C Gao, E Li, Y Yan, Y Hu, H Chen… - Nano Energy, 2022 - Elsevier
Incorporating optoelectronic integrated capability into artificial neurons can offer critical
benefits of tunable device properties, diverse functions, and efficient computing capacity for …

Volatile threshold switching memristor: An emerging enabler in the AIoT era

W Zuo, Q Zhu, Y Fu, Y Zhang, T Wan, Y Li… - Journal of …, 2023 - iopscience.iop.org
With rapid advancement and deep integration of artificial intelligence and the internet-of-
things, artificial intelligence of things has emerged as a promising technology changing …

Configurable NbOx Memristors as Artificial Synapses or Neurons Achieved by Regulating the Forming Compliance Current for the Spiking Neural Network

CY Han, SL Fang, YL Cui, W Liu… - Advanced Electronic …, 2023 - Wiley Online Library
For the first time, a configurable NbOx memristor is achieved that can be configured as an
artificial synapse or neuron after fabrication by controlling the forming compliance current …

Stochasticity in the synchronization of strongly coupled spiking oscillators

E Qiu, P Salev, L Fratino, R Rocco, H Navarro… - Applied Physics …, 2023 - pubs.aip.org
Synchronization of electrical oscillators is a crucial step toward practical implementation of
oscillator-based and bio-inspired computing. Here, we report the emergence of an unusual …

Nanosecond Structural Dynamics during Electrical Melting of Charge Density Waves in

DB Durham, TE Gage, CP Horn, X Ma, H Liu, I Arslan… - Physical Review Letters, 2024 - APS
Electrical control of charge density waves has been of immense interest, as the strong
underlying electron-lattice interactions potentially open new, efficient pathways for …