Prof. Jean Anne Incorvia leads the the Integrated Nano Computing (INC) Lab at UT Austin. we use new physics/materials to build devices/circuits for the future.
See the work of INC Lab students and alumni Can Cui, Thomas Leonard, Nicholas Zogbi, and Sam Liu highlighted in UT Cockrell School of Engineering’s article, “Magnets Emulate Neurons for Next-Generation Computing!”
https://t.co/x7YxD7x3Z3
Congratulations to Sam Liu for receiving the Ben Streetman Senior Award “For Outstanding Research by a Graduate Student in Electronic and Photonic Materials and Devices."
We have an exciting paper just published on leaky, integrate, and fire (LIF) artificial neurons using magnetic domain walls, read out by magnetic tunnel junctions (MTJs)!
Click on the link below to read!
https://t.co/qSovmNdjXd
#neuromorphic#computing#tech#utaustin
Our paper on magnetic domain wall based integrate-and-fire neurons is now published in Nano Letters! The lead Ph.D. student is Can Cui with co-authors Sam Liu and Jaesuk Kwon (Ph.D). Click on the link below to read it!
https://t.co/YzM4WsNH7R
The MRAM Tech Group has put out this article on analyzing the impact of ambient magnetic fields on MRAM, to show MRAM can operate well in normal ambient magnetic field environments.
Check it out here! https://t.co/ouSrKuOvfR
Our review of spintronic logic is published! "Spintronics for achieving system-level energy-efficient logic", out now in Nature Reviews Electrical Engineering.
https://t.co/sw6C0llmWh