Compensated Ferrimagnet Based Artificial Synapse and Neuron for Ultrafast Neuromorphic Computing-Reference-Cited by-同舟云学术

Compensated Ferrimagnet Based Artificial Synapse and Neuron for Ultrafast Neuromorphic Computing

Published:2021-09-29 Issue:1 Volume:32 Page:2107870
ISSN:1616-301X
Container-title:Advanced Functional Materials
language:en
Short-container-title:Adv Funct Materials

Author:

Liu Jiahao¹²³^ORCID,Xu Teng¹²,Feng Hongmei¹²,Zhao Le¹²,Tang Jianshi⁴⁵,Fang Liang³,Jiang Wanjun¹²^ORCID

Affiliation:

1. State Key Laboratory of Low‐Dimensional Quantum Physics and Department of Physics Tsinghua University Beijing 100084 China

2. Frontier Science Center for Quantum Information Tsinghua University Beijing 100084 China

3. Institute for Quantum Information & State Key Laboratory of High Performance Computing College of Computer National University of Defense Technology Changsha 410073 China

4. School of Integrated Circuits Beijing National Research Center for Information Science and Technology (BNRist) Tsinghua University Beijing 100084 China

5. Beijing Innovation Center for Future Chips (ICFC) Tsinghua University Beijing China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Beijing Municipality

Publisher

Wiley

Subject

Electrochemistry,Condensed Matter Physics,Biomaterials,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adfm.202107870

Reference71 articles.

1. Bridging Biological and Artificial Neural Networks with Emerging Neuromorphic Devices: Fundamentals, Progress, and Challenges

2. Neuro-inspired computing chips

3. Nanoelectronic Programmable Synapses Based on Phase Change Materials for Brain-Inspired Computing

4. The missing memristor found

5. Nanoscale Memristor Device as Synapse in Neuromorphic Systems

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