Neuromorphic Computing: Artificial Neuron and Synapse Realized in an Antiferromagnet/Ferromagnet Heterostructure Using Dynamics of Spin–Orbit Torque Switching (Adv. Mater. 23/2019) | Zendy

Kurenkov Aleksandr | Zendy; DuttaGupta Samik | Zendy; Zhang Chaoliang | Zendy; Fukami Shunsuke | Zendy; Horio Yoshihiko | Zendy; Ohno Hideo | Zendy

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Neuromorphic Computing: Artificial Neuron and Synapse Realized in an Antiferromagnet/Ferromagnet Heterostructure Using Dynamics of Spin–Orbit Torque Switching (Adv. Mater. 23/2019)

Author(s) -

Kurenkov Aleksandr,

DuttaGupta Samik,

Zhang Chaoliang,

Fukami Shunsuke,

Horio Yoshihiko,

Ohno Hideo

Publication year - 2019

Publication title -

advanced materials

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 10.707

H-Index - 527

eISSN - 1521-4095

pISSN - 0935-9648

DOI - 10.1002/adma.201970167

Subject(s) - neuromorphic engineering , heterojunction , materials science , realization (probability) , antiferromagnetism , ferromagnetism , synapse , torque , artificial neural network , condensed matter physics , reservoir computing , optoelectronics , computer science , physics , quantum mechanics , neuroscience , artificial intelligence , recurrent neural network , mathematics , statistics , biology

In article number 1900636 , Shunsuke Fukami and co‐workers show a uniform approach for the realization of artificial synapses and neurons, which is based on the inherent dynamics of a magnetic heterostructure and thus allows a single material system and simple operating pulses. The proposed devices may form a hardware basis, which is currently lacking, for large‐scale artificial neural networks.

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