Memristor-based artificial chips

B Sun, Y Chen, G Zhou, Z Cao, C Yang, J Du, X Chen… - ACS …, 2023 - ACS Publications
Memristors, promising nanoelectronic devices with in-memory resistive switching behavior
that is assembled with a physically integrated core processing unit (CPU) and memory unit …

Emerging dynamic memristors for neuromorphic reservoir computing

J Cao, X Zhang, H Cheng, J Qiu, X Liu, M Wang, Q Liu - Nanoscale, 2022 - pubs.rsc.org
Reservoir computing (RC), as a brain-inspired neuromorphic computing algorithm, is
capable of fast and energy-efficient temporal data analysis and prediction. Hardware …

Reconfigurable neuromorphic memristor network for ultralow-power smart textile electronics

T Wang, J Meng, X Zhou, Y Liu, Z He, Q Han… - Nature …, 2022 - nature.com
Neuromorphic computing memristors are attractive to construct low-power-consumption
electronic textiles due to the intrinsic interwoven architecture and promising applications in …

[HTML][HTML] Experimental demonstration of skyrmionic magnetic tunnel junction at room temperature

S Li, A Du, Y Wang, X Wang, X Zhang, H Cheng, W Cai… - Science Bulletin, 2022 - Elsevier
Chiral magnetic skyrmions are topological swirling spin textures that hold promise for future
information technology. The electrical nucleation and motion of skyrmions have been …

Spin Hall effect of light via momentum-space topological vortices around bound states in the continuum

J Wang, L Shi, J Zi - Physical Review Letters, 2022 - APS
Optical bound states in the continuum (BICs) are exotic topological defects in photonic
crystal slabs, carrying polarization topological vortices in momentum space. The topological …

Memristor‐Based Intelligent Human‐Like Neural Computing

S Wang, L Song, W Chen, G Wang… - Advanced Electronic …, 2023 - Wiley Online Library
Humanoid robots, intelligent machines resembling the human body in shape and functions,
cannot only replace humans to complete services and dangerous tasks but also deepen the …

Brain-inspired computing: A systematic survey and future trends

G Li, L Deng, H Tang, G Pan, Y Tian… - Proceedings of the …, 2024 - ieeexplore.ieee.org
Brain-inspired computing (BIC) is an emerging research field that aims to build fundamental
theories, models, hardware architectures, and application systems toward more general …

CMOS-compatible neuromorphic devices for neuromorphic perception and computing: a review

Y Zhu, H Mao, Y Zhu, X Wang, C Fu, S Ke… - … Journal of Extreme …, 2023 - iopscience.iop.org
Neuromorphic computing is a brain-inspired computing paradigm that aims to construct
efficient, low-power, and adaptive computing systems by emulating the information …

Neurotransmitter‐Mediated Plasticity in 2D Perovskite Memristor for Reinforcement Learning

Y Wang, S Chen, X Cheng, W Chen… - Advanced Functional …, 2024 - Wiley Online Library
The neuromorphic computing architecture is a promising artificial intelligence for
implementing hierarchical processing, in‐memory computing, event‐driven operation and …

Universality of Hofstadter butterflies on hyperbolic lattices

A Stegmaier, LK Upreti, R Thomale, I Boettcher - Physical Review Letters, 2022 - APS
Motivated by recent realizations of hyperbolic lattices in superconducting waveguides and
electric circuits, we compute the Hofstadter butterfly on regular hyperbolic tilings. Utilizing …