Spintronic heterostructures for artificial intelligence: a materials perspective

Spintronic heterostructures for artificial intelligence: a materials perspective

With the advent of the Big Data era, neuromorphic computing (NC) (also known as brain-inspired computing) has gained a lot of research interest. Spintronic devices are the emerging candidates for implementing the NC due to their intrinsic nonvolatility, extremely high endurance, low-power consumptio...

Full description

Saved in:
Bibliographic Details
Main Authors: Maddu, Ramu, Kumar, Durgesh, Bhatti, Sabpreet, Piramanayagam, S. N.
Other Authors: School of Physical and Mathematical Sciences
Format: Article
Language:English
Published: 2023
Subjects:
Science::Physics::Atomic physics::Solid state physics
Science::Physics::Electricity and magnetism
Spintronic Devices
Materials Engineering
Online Access:https://hdl.handle.net/10356/165899
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://hdl.handle.net/10356/165899

Similar Items