Happy to announce my group's latest publication on developing graphene-leaf devices that can monitor plant hydration while providing neural network in-sensor compute capabilities. Led by PhD. student Utkarsh Misra, and a collaboration with Dmitry Kireev, Deji Akinwande, and Ashley Matheny. [...]
New publication! You may have seen this at the MRAM forum poster session, and now can read all about it in the paper. We develop a language model-first principles pipeline "LEAD" for rapid discovery of new materials for magnetic tunnel [...]
KXAN local news coverage on our work with Artur M. Pinto! Click here to read it!
Harrison Jin: BF-08. Domain Wall Leaky-Integrate-Fire Dendrites with Spatiotemporally Varied Inputs for Event-Based Sensing Sam Liu: FF-08. Wafer-Scale SOT-MRAM for Energy- and Memory-Efficient Analog Computing Sabiq Islam: GG-11. Predicting Novel Tunnel Barrier Materials for Magnetic Tunnel Junctions using [...]
Check out our new article in ACS Applied Nano Materials. This work is a close collaboration between my group and Artur M. Pinto, with Filipa Silva as a visiting Ph.D. at UT Austin working closely with Hui-Ping Chang and Leopoldo [...]
Check out our just-published work on high-rate deposition and characterization of CoZrO for on-chip power! This was a collaborative effort between our group, Alex Hanson, and Southwest Research Institute (SWRI), led by Ph.D. student Elaine Ng and supported by SWRI [...]
Zulfidin (Bobojon) Khodzhaev wrote a comprehensive review on voltage-controlled skyrmions in chambers for neuromorphic computing, you can check it out here: https://www.sciencedirect.com/science/article/pii/S1359028625000075?dgcid=author
Great to 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!” Click here to read it.
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). As predicted by simulation e.g. by Wesley "Gunther" Brigner and Joseph S. Friedman, the [...]
