Archived Posts

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 [...]

2024-03-05T23:51:59+00:00April 20th, 2023|

Article on Random Bitstream Generation using Voltage-Controlled Magnetic Anisotropy and Spin Orbit Torque 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 [...]

2024-03-11T02:12:38+00:00December 23rd, 2022|

Spectrum News Article on UT Researchers

So far, the standard computer doesn’t have any thoughts, and algorithms do everything. Texas ECE researchers including Dmitry Kireev, Jean Anne Incorvia, and Deji Akinwande are hoping to change that. Click here to read the article!

2024-03-17T22:11:18+00:00October 22nd, 2022|

Article on Bayesian Neural Networks Using Magnetic Tunnel Junction-Based Probabilistic In-Memory Computing

Check out our latest work, led by Sandia National Laboratories, Christopher H. Bennett and Sam Liu in the INC Lab. We show in simulation that combining a tunable stochastic magnetic tunnel junction with the domain wall-magnetic tunnel junction device creates a very efficient bit cell [...]

2024-03-17T20:47:19+00:00October 17th, 2022|
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