@profincorvia.bsky.social
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New publication carried out by undergraduate Sabiq Islam in collaboration with Shehrin Sayed and TSMC!
advanced.onlinelibrary.wiley.com/doi/10.1002/...
#computing
#nanotech
#ai
#spintronics
#engineering
#future
#science
#technology
#research
#physics
#engineeringeducation
#utaustin
#education
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LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance-area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanc...
https://advanced.onlinelibrary.wiley.com/doi/10.1002/adma.202518241
4 days ago
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KXAN local news coverage on our work with Artur M. Pinto!
www.kxan.com/news/science...
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https://www.kxan.com/news/science/cancer-treatment-uses-led-light-and-atomically-thin-materials-to-destroy-cells/
about 1 month ago
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Proud of our three talks last week at
#MMM2025
: Harrison Jin, Sam Liu, and Sabiq Islam!
about 1 month ago
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Check out our just-published work on high-rate deposition and characterization of CoZrO for on-chip power!
advanced.onlinelibrary.wiley.com/doi/abs/10.1...
#neuromorphic
#computing
#tech
#technology
#nanotech
#nanotechnology
#ai
#artificialintelligence
#spintronics
#electricalengineering
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High‐Rate Deposition and Characterization Study of CoZrO Films for On‐Chip Power Applications
This study introduces a high-rate reactive sputtering process for CoZrO films, aimed at large-scale production of on-chip magnetic components compatible with complementary metal oxide semiconductor (...
https://advanced.onlinelibrary.wiley.com/doi/abs/10.1002/adem.202402626
9 months ago
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Zulfidin (Bobojon) Khodzhaev wrote a comprehensive review on voltage-controlled skyrmions in chambers for neuromorphic computing, you can check it out here:
www.sciencedirect.com/science/arti...
#neuromorphic
#computing
#tech
#technology
#nanotech
#ai
#spintronics
#electricalengineering
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Voltage-controlled skyrmion manipulation chambers for neuromorphic computing
Voltage-controlled magnetic skyrmion manipulation has emerged as a promising approach for designing high-density and low-power magnetic devices. This …
https://www.sciencedirect.com/science/article/pii/S1359028625000075?dgcid=author
10 months ago
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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!”
cockrell.utexas.edu/news/archive...
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Magnets Emulate Neurons for Next-Generation Computing
In the quest to develop new computing tech — electronics that can think like the human brain — researchers from The University of Texas have made breakthroughs.
https://cockrell.utexas.edu/news/archive/10156-magnets-emulate-neurons-for-next-generation-computing
10 months ago
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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."
10 months ago
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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!
pubs.acs.org/doi/10.1021/...
#neuromorphic
#computing
#tech
#utaustin
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Shape Anisotropy-Dependent Leaking in Magnetic Neurons for Bio-Mimetic Neuromorphic Computing
Spiking neural networks seek to emulate biological computation through interconnected artificial neuron and synapse devices. Spintronic neurons can leverage magnetization physics to mimic biological n...
https://pubs.acs.org/doi/10.1021/acsnano.4c13020?ref=pdf
11 months ago
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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!
pubs.acs.org/doi/full/10....
#neuromorphic
#computing
#tech
#nanotech
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Spintronic Artificial Neurons Showing Integrate-and-Fire Behavior with Reliable Cycling Operation
The rich dynamics of magnetic materials makes them promising candidates for neural networks that, like the brain, take advantage of dynamical behaviors to efficiently compute. Here, we experimentally show that integrate-and-fire neurons can be achieved using a magnetic nanodevice consisting of a domain wall racetrack and magnetic tunnel junctions in a way that has reliable, continuous operation over many cycles. We demonstrate the domain propagation in the domain wall racetrack (integration), reading using a magnetic tunnel junction (fire), and reset as the domain is ejected from the racetrack with over 100 continuous cycles. Both the pulse amplitude and pulse number encoding are shown. By simulating a spiking neural network task, we benchmark the performance of the devices against an ideal leaky, integrate-and-fire neuron, showing that the spintronic neuron can match the performance of the ideal. These results achieve demonstration of reliable integrated-fire reset in domain wall-magnetic tunnel junction-based neuron devices for neuromorphic computing.
https://pubs.acs.org/doi/full/10.1021/acs.nanolett.4c05063
11 months ago
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