David Basford, UT Austin Physics Ph.D. Student, Presents on STT-MRAM for Embedded Applications
Check out INC Lab’s latest YouTube video, a student presentation by David Basford on STT-MRAM for Embedded Applications.
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Aug, 2023
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Jul, 2023
David Basford, UT Austin Physics Ph.D. Student, Presents 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 [...]
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Jul, 2023
Matt Dwyer, UT Austin Physics Ph.D. Student, Gives a Brief History of Magnetic Data Storage
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 [...]
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Jul, 2023
Research Highlights on Magnetic Stochastic Neurons and WEe2-Based Ambipolar Transistor Circuits
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!
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Jun, 2023
Odinaka Okeke, UT Austin ECE Ph.D. Student, Talks on Hardware-based Neuromorphic Architectures
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 [...]
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Jun, 2023
Paper on Cascaded Logic Gates Based on High-Performance Ambipolar Dual-Gate WSe2 Thin Film Transistors
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 [...]
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Jun, 2023
Paper on Stochastic Domain Wall-Magnetic Tunnel Junction Artificial Neurons for Noise-Resilient Spiking Neural Networks
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 [...]
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May, 2023
Review on Neuromorphic Computing with Domain Walls and Skyrmions
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!
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May, 2023
Spectrum News visits INC Lab to discuss graphene synapses
Spectrum News visits INC Lab at UT Austin to discuss our recent work on biocompatible graphene artificial synapses for neuromorphic computing.
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Apr, 2023
Article on Parallel Matrix Multiplication Using Voltage-Controlled Magnetic Anisotropy Domain Wall Logic
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 [...]