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!
Spectrum News visits INC Lab at UT Austin to discuss our recent work on biocompatible graphene artificial synapses for neuromorphic computing.
Professor Incorvia collaborates with Patrick Xiao and Nicholas Zogbi on an article about using domain wall-magnetic tunnel junctions for parallel matrix multiplication. They solve a couple major challenges in using magnetic domain walls and magnetic tunnel junctions for computing by [...]
Professor Incorvia joins the "It's a Material World" Podcast on their 100th episode, Nanotechnology and the Brain: Neuromorphic Computing. This podcast is great for sharing with students and those interested to know more on the topic from a materials science [...]
Sam Liu, Ph.D. student in the INC Lab, presents his work on Hardware-Aware Bayesian Variational Inference at the Magnetism and Magnetic Materials 2022 Conference.
Dr. Mahshid Alamdar, a Ph.D. graduate from the INC Lab, presents his work on Multi-Weight Artificial Synapses with Straight Notched Geometry for Neuromorphic Computing at the Joint Magnetism and Magnetic Materials-Intermag 2022 Conference.
Suyogya Karki, a graduate student in the INC Lab, presents "Transport in Scandium Nitride Magnetic Tunnel Junctions Using First Principles" at Trends in Magnetism (TMAG) 2021. Results presented can be found in the published work DOI 10.1002/adts.202100309.
Vivian Rogers, graduate student in the INC Lab, made a video visualizing her work on spin-dependent transport in scandium nitride magnetic tunnel junctions.
Sharing our work: "Random Bitstream Generation using Voltage-Controlled Magnetic Anisotropy and Spin Orbit Torque Magnetic Tunnel Junctions," just published in JxCDC. Led by graduate student Sam Liu and postdoctoral researcher Jaesuk Kwon (Ph.D), we used physics-based modeling to study and [...]
