Jin Harrison, University of Texas at Austin Ph.D. student in Physics, gives a presentation on Topological materials for energy-efficient, high-speed applications in magnetic memory. His talk is part of student presentations for the Spring 2023 UT course Magnetic Materials and [...]
Originally published: Sep 18, 2023 Harrison Jin, University of Texas at Austin Ph.D. student in Physics, gives a presentation on Topological materials for energy-efficient, high-speed applications in magnetic memory. His talk is part of student presentations for the Spring 2023 [...]
Check out INC Lab’s latest YouTube video, a student presentation by David Basford on STT-MRAM for Embedded Applications.
David Basford, University of Texas at Austin Ph.D. student in Physics, gives a presentation on the Brief History of Magnetic Data Storage. His talk is part of student presentations for the Spring 2023 UT course Magnetic Materials and Devices (EE [...]
Matt Dwyer, University of Texas at Austin Ph.D. student in Physics, gives a presentation on the Brief History of Magnetic Data Storage. His talk is part of student presentations for the Spring 2023 UT course Magnetic Materials and Devices (EE [...]
Check out this highlight of our recent two papers on magnetic stochastic neurons and WSe2-based ambipolar transistor circuits! Click here to read the article!
Odinaka Okeke, University of Texas at Austin Ph.D. student in Electrical and Computer Engineering, gives a presentation on Hardware-based Neuromorphic Architectures beyond Crossbar Arrays. Her talk is part of student presentations for the Spring 2023 UT course Magnetic Materials and [...]
We have built ambipolar dual-gate WSe2 thin film transistors and measured them in cascaded logic gates, published in ACS Nano! The lead graduate student on the work is Xintong Li, who recently successfully defended his Ph.D., and it was done [...]
Our latest paper on magnetic devices for neuromorphic computing is now published in Applied Physics Letters! We show that the domain wall-magnetic tunnel junction device can act as a stochastic neuron, which is robust to recognizing noisy images compared to [...]
Professor Incorvia, Principal Investigator of INC Lab, works on this review on neuromorphic computing with domain walls and skyrmions, led by Xuan Hu and Joseph Friedman. Click here to read the article!
