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Neuromorphic Computing: Materials, Devices, and Mechanisms

Guest Editor:
Shinbuhm Lee: Daegu Gyeongbuk Institute of Science and Technology (DGIST), Korea    
 

Submission Status: Closed   


This collection is no longer accepting submissions.


Nano Convergence is calling for submissions to our Collection on Neuromorphic computing: materials, devices, and mechanisms. 

The neuromorphic device concept has attracted renewed interests in the artificial intelligent era. The human brain is composed of over 100 billion neurons interconnected by 100 trillion synapses. Although the synapses are currently slower than conventional electronics, they work effectively at 20 W, thus consuming much less power than the megawatts required by supercomputers. Synapses use not electron but rather ion (H+, Na+, K+, Ca2+, and Cl-) flow to transfer information. Therefore, new device paradigm has been developed to realize the neuromorphic devices. Furthermore, neuromorphic devices have been continuously advanced and expanded to other fields through the convergence with other functional materials and platforms. This special Issue aims to introduce re-cent interdisciplinary approaches for materials, devices, and mechanism towards innovative neuromorphic devices technologies.

  1. Artificial neural networks (ANNs), inspired by the human brain's network of neurons and synapses, enable computing machines and systems to execute cognitive tasks, thus embodying artificial intelligence (AI). ...

    Authors: Hyunjeong Kwak, Nayeon Kim, Seonuk Jeon, Seyoung Kim and Jiyong Woo
    Citation: Nano Convergence 2024 11:9
    Content type: Review Published on:

  2. Memristors have attracted increasing attention due to their tremendous potential to accelerate data-centric computing systems. The dynamic reconfiguration of memristive devices in response to external electric...

    Authors: Sanghyeon Choi, Taehwan Moon, Gunuk Wang and J. Joshua Yang
    Citation: Nano Convergence 2023 10:58
    Content type: Review Published on:

Submission Guidelines

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This Collection welcomes submission of Research Articles. Before submitting your manuscript, please ensure you have read our submission guidelines. Articles for this Collection should be submitted via our submission system. During the submission process, under the section additional information, you will be asked whether you are submitting to a Collection, please select "Neuromorphic computing: materials, devices, and mechanisms" from the dropdown menu.

Articles will undergo the journal’s standard peer-review process and are subject to all of the journal’s standard policies. Articles will be added to the Collection as they are published.

The Guest Editors have no competing interests with the submissions which they handle through the peer review process. The peer review of any submissions for which the Guest Editors have competing interests is handled by another Editorial Board Member who has no competing interests.