Results 131 to 140 of about 7,731 (250)

Electromagnetic Radiation Stimulated Learning in Perovskite Nickelates

Advanced Science, EarlyView.
ABSTRACT Biological plasticity refers to the ability of synapses to strengthen or weaken over time. These adaptive properties play a fundamental role in learning and memory, spanning many orders of magnitude in timescales. Short‐term plasticity (STP) arises from rapid correlative activity, while long‐term plasticity (LTP) is governed by slower ...
Ranjan Kumar Patel, Kabir Zama, Matthew Smart, Ramya Eathirajan, Ivan Seskar, Narayan Mandayam, Guangxin Ni, Martin Mönnigmann, Shriram Ramanathan   +8 more
wiley   +1 more source

Protonic nickelate device networks for spatiotemporal neuromorphic computing. [PDF]

Nat Nanotechnol
Zhou Y, Shah S, Dey T, Zhou Y, Kumar A, Sriram S, Guo S, Kumar S, Patel RK, Andrei EY, Cubukcu E, Ramanathan S, Kuzum D.   +12 more
europepmc   +1 more source

Reconfigurable Selector‐Only Memory (SOM) for Scalable Neuromorphic Computing

Advanced Science, EarlyView.
ABSTRACT Highly scalable reconfigurable neuromorphic devices are critical for addressing continual‐learning challenges in artificial intelligence. However, the scalability of existing reconfigurable devices is severely constrained by limited operating margins and insufficient process maturity.
Jin‐Yu Wen, Chuan‐Qi Yi, Ya‐Ru Zhang, Bin‐Hao Wang, Zi‐Xuan Liu, Chun‐Yu Zhou, Hao Tong, Xiang‐Shui Miao   +7 more
wiley   +1 more source

Oxide interface-based polymorphic electronic devices for neuromorphic computing. [PDF]

Nat Commun
Pradhan S, Miller K, Hartmann F, Spring M, Gabel J, Leikert B, Kuhn S, Kamp M, Lopez-Richard V, Sing M, Claessen R, Höfling S.   +11 more
europepmc   +1 more source

Dual‐Mode Nanoporous SiO2 Memristors with Coexisting Volatile and Nonvolatile Dynamics for Reservoir Computing

Advanced Science, EarlyView.
A nanoporous SiO2 memristor enabling reconfigurable volatile and non‐volatile switching within a single device is demonstrated. The dual‐mode functionality supports both physical reservoir dynamics and synaptic weight storage, allowing unified hardware implementation of reservoir computing for temporal information processing, including image and ...
Bohao Ding, Tongjun Zhang, Li Shao, Nikolay Zhelev, Andrew L. Hector, Ruomeng Huang   +5 more
wiley   +1 more source

Confined-hydrogel fluidic memristor crossbar array for neuromorphic computing. [PDF]

Nat Commun
Guo G, Xiong T, Xie B, Zhang J, Zhang J, Lu Y, Zhao Y, Ma W, Pan C, Jiang Y, Mao L, Wang J, Yu P.   +12 more
europepmc   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

Advanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai, Ri He, Junxian Liu, Liangzhi Kou   +3 more
wiley   +1 more source

Retinomorphic Visual Processing Enabled by Contact‐Engineered IGZO Optoelectronic Synaptic Memtransistors

Advanced Science, EarlyView.
Here, we present an optoelectronic synaptic memtransistor (OSMT) integrating photoresponsive IGZO with contact‐engineered HfO2, enabling electrically and optically tunable synaptic weights. The device demonstrates broad range of tunable conductance states and array‐level image processing, highlighting its potential for intelligent machine vision ...
Donghyun Kang, San Nam, Dayul Nam, In‐Soo Kim, Myung‐Gil Kim, Sung Kyu Park, Yong‐Hoon Kim   +6 more
wiley   +1 more source

Molecularly Engineered Wing‐Shaped Azobenzene Memristors for Logic‐in‐Memory and Edge Visual Intelligence

Advanced Science, EarlyView.
Rational engineering of terminal substituents in symmetric azobenzene‐based molecules enables precise control over conformationally coupled charge‐transfer processes. This design yields tunable nonvolatile resistive memory behaviors, ranging from write‐once‐read‐many‐times (WORM) to rewritable switching.
Yanze Liu, Tao Han, Jiahui Ding, Hong Lian, Lingling Yao, Zhaoxin Xu, Xingyu Zhang, Shuanglong Wang, Jiangnan Xia, Tianchi Zhang, Weiwei Kang, Qingchen Dong   +11 more
wiley   +1 more source

Engineering and Exploiting Self-Driven Domain Wall Motion in Ferrimagnets for Neuromorphic Computing Applications. [PDF]

Nano Lett
Brock JA, Kurenkov A, Lindenmann DR, Hrabec A, Heyderman LJ.   +4 more
europepmc   +1 more source