Computing of neuromorphic materials: an emerging approach for bioengineering solutions-Reference-Cited by-同舟云学术

Computing of neuromorphic materials: an emerging approach for bioengineering solutions

Published:2023 Issue:23 Volume:4 Page:5882-5919
ISSN:2633-5409
Container-title:Materials Advances
language:en
Short-container-title:Mater. Adv.

Author:

Prakash Chander¹²³,Gupta Lovi Raj¹³⁴,Mehta Amrinder¹,Vasudev Hitesh¹⁴,Tominov Roman³⁵,Korman Ekaterina³⁵,Fedotov Alexander³⁵^ORCID,Smirnov Vladimir³⁵,Kesari Kavindra Kumar¹⁶^ORCID

Affiliation:

1. Research & Development Cell, Lovely Professional University, Phagwara-144411, India

2. Mukesh Patel School of Technology Management and Engineering, SVKM’S Narsee Monjee Institute of Management Studies, Mumbai, India

3. Research Laboratory of Neuroelectronics and Memristive Nanomaterials (NEUROMENA Lab), Institute of Nanotechnologies, Electronics and Equipment Engineering, Southern Federal University, Russia

4. School of Mechanical Engineering, Lovely Professional University, Phagwara-144411, Punjab, India

5. Institute of Nanotechnologies, Electronics and Equipment Engineering, Southern Federal University, Taganrog 347922, Russia

6. Department of Applied Physics, School of Science, Aalto University, Espoo, Finland

Abstract

Machine learning techniques for the development of neuromorphic materials for bioengineering solutions by developing energy-efficient hardware, enhancing neuron models, and learning algorithms.

Funder

Government Council on Grants, Russian Federation

Publisher

Royal Society of Chemistry (RSC)

Subject

General Materials Science,Chemistry (miscellaneous)

Link

http://pubs.rsc.org/en/content/articlepdf/2023/MA/D3MA00449J

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