Joseph S. Friedman

BS/MS Alumni

Sarah R. Evans graduated in 2023 with a B.S. in Electrical Engineering student from The University of Texas at Dallas. Her research focus was on hardware security with nanomagnetism.

She was awarded the National Science Foundation (NSF) Graduate Research Fellowship, the Qualcomm Undergraduate Research Experience, and was also an NSF Research Experiences for Undergraduates (REU) Fellow.

Publications

  1. D. Biswas, S. R. Evans, M. J. Rickard, A. Fowler, Y. Makris, N. Hassan, A. J. Edwards, J. S. Friedman, Hybrid MRAM/SRAM Bit Cell with Self-Terminating MTJ Readout, Conference on Magnetism and Magnetic Materials, Oct.-Nov. 2023.
  2. S. R. Evans, M. J. Rickard, A. Fowler, Y. Makris, N. Hassan, A. J. Edwards, D. Biswas, J. S. Friedman, Non-Volatile Memory Circuit with Self-Terminating Read Current, Government Microcircuit Applications & Critical Technology Conference, Mar. 2023.
Sam Ishak graduated in 2023 with a B.S. in Electrical Engineering from The University of Texas at Dallas. His research focus was on stochastic Bayesian inference circuit design.

He was awarded the Jonsson School Undergraduate Research Award.
Mitchell J. Rickard graduated in 2023 with a B.S. in Electrical Engineering from The University of Texas at Dallas. His research focus was on the development of new non-volatile memory systems.

Publications

  1. D. Biswas, S. R. Evans, M. J. Rickard, A. Fowler, Y. Makris, N. Hassan, A. J. Edwards, J. S. Friedman, Hybrid MRAM/SRAM Bit Cell with Self-Terminating MTJ Readout, Conference on Magnetism and Magnetic Materials, Oct.-Nov. 2023.
  2. S. R. Evans, M. J. Rickard, A. Fowler, Y. Makris, N. Hassan, A. J. Edwards, D. Biswas, J. S. Friedman, Non-Volatile Memory Circuit with Self-Terminating Read Current, Government Microcircuit Applications & Critical Technology Conference, Mar. 2023.
Karthikeyan (Karthi) Lakshmana Doss graduated in 2021 with a B.S. in Electrical Engineering and in 2023 with an M.S. in Electrical Engineering, both from The University of Texas at Dallas. His research focus was on spintronic logic circuit design.
Leonard M. Humphrey graduated in 2023 with a B.S. in Electrical Engineering and Physics from The University of Texas at Dallas. In 2022, he interned at Sandia National Laboratories. His research focus was on magnetic domain wall modeling.

He was awarded the UTD Undergraduate Research Scholar Award and the Jonsson School Undergraduate Research Award, and was a National Science Foundation (NSF) Research Experience for Undergraduates (REU) Fellow.

Publications

  1. K. Doleh, C. M. Linseisen, L. M. Humphrey, F. Garcia-Sanchez, X. Hu, W. H. Brigner, C. Cui, J. M. Martin, J. A. C. Incorvia, N. Hassan, A. J. Edwards, J. S. Friedman, Kinematic Domain Wall Model for Large-Scale Neuromorphic Network Simulation, Joint IEEE International Magnetics Conference & Conference on Magnetism and Magnetic Materials, Jan. 2022.
Shreya Mysore Panduranga graduated in 2022 with an M.S. in Electrical Engineering from The University of Texas at Dallas. She received her B.E. degree in 2018 from Sri Jayachamarajendra College of Engineering, majoring in Electronics and Communication Engineering. Her research focus was on the demonstration of stochastic Bayesian inference circuits.

Publications

  1. A. J. Edwards, E. C. Usih, P. Zhou, B. A. Hill, S. Martindell, T. Qi, D. Biswas, X. Hu, S. M. Panduranga, J. S. Friedman, Experimental Demonstration of Stochastic Bayesian Inference using Muller C-Elements, Government Microcircuit Applications & Critical Technology Conference, Mar. 2024.
Kristi Doleh graduated in 2022 with a B.S. in Electrical Engineering from The University of Texas at Dallas. Her research focus was on the modeling of magnetic domain walls.

She was awarded the UTD Undergraduate Research Scholar Award, the Jonsson School Undergraduate Research Award, and the Qualcomm Undergraduate Research Experience. She was also a National Science Foundation (NSF) Research Experiences for Undergraduates (REU) Fellow.

Publications

  1. K. Doleh, C. M. Linseisen, L. M. Humphrey, F. Garcia-Sanchez, X. Hu, W. H. Brigner, C. Cui, J. M. Martin, J. A. C. Incorvia, N. Hassan, A. J. Edwards, J. S. Friedman, Kinematic Domain Wall Model for Large-Scale Neuromorphic Network Simulation, Joint IEEE International Magnetics Conference & Conference on Magnetism and Magnetic Materials, Jan. 2022.
Christian B. Duffee graduated in 2022 with an M.S. and in 2021 with a B.S., both in Electrical Engineering from The University of Texas at Dallas. His research focus was on the simulation and design of hardware neural networks.

He was awarded the UTD Undergraduate Research Scholar Award and the TxACE Undergraduate Internship.

Publications

  1. P. O. Mathews*, C. B. Duffee*, A. Thayil*, T. E. Stovall, C. H. Bennett, F. Garcia-Sanchez, M. J. Marinella, J. A. C. Incorvia, N. Hassan, X. Hu, J. S. Friedman, High-Speed CMOS-Free Purely Spintronic Asynchronous Recurrent Neural Network, APL Machine Learning 1, 016107 (2023).
  2. C. B. Duffee, P. O. Mathews, A. Thayil, T. E. Stovall, C. H. Bennett, F. Garcia-Sanchez, M. J. Marinella, J. A. C. Incorvia, N. Hassan, X. Hu, J. S. Friedman, High-Speed CMOS-Free Purely Spintronic Asynchronous Recurrent Neural Network, Joint IEEE International Magnetics Conference & Conference on Magnetism and Magnetic Materials, Jan. 2022.
Julie A. Smith graduated in 2022 with a B.S. in Computer Engineering from The University of Texas at Dallas. Her research focus was on the design of a neuromorphic circuit that performs unsupervised on-chip online learning with STT-MRAM.

She was awarded the Jonsson School Undergraduate Research Award.

Publications

  1. P. Zhou, J. A. Smith, L. Deremo, S. K. Heinrich-Barna, J. S. Friedman, Synchronous Unsupervised STDP Learning with Stochastic STT-MRAM Switching, APS March Meeting, Mar. 2022.
  2. P. Zhou, J. A. Smith, L. Deremo, S. K. Heinrich-Barna, J. S. Friedman, Synchronous Unsupervised STDP Learning with Stochastic STT-MRAM Switching, Joint IEEE International Magnetics Conference & Conference on Magnetism and Magnetic Materials, Jan. 2022.
  3. P. Zhou, J. A. Smith, L. Deremo, S. K. Heinrich-Barna, J. S. Friedman, Synchronous Unsupervised STDP Learning with Stochastic STT-MRAM Switching, IEEE International Conference on Rebooting Computing, Nov. - Dec. 2021.
  4. P. Zhou, J. A. Smith, L. Deremo, S. K. Heinrich-Barna, J. S. Friedman, Synchronous Unsupervised STDP Learning with Stochastic STT-MRAM Switching, Government Microcircuit Applications & Critical Technology Conference, Mar. 2021.
Harshit Sood graduated in 2022 with an M.S. in Electrical Engineering from The University of Texas at Dallas. He received his B.Tech. degree in 2019 from Vellore Institute of Technology, majoring in Electronics and Communication Engineering. His research focus was on the design of a neuromorphic circuit that performs unsupervised on-chip online learning with STT-MRAM.

Publications

  1. C. J. Baby, A. Mazumdar, H. Sood, Y. Gupta, A. Panda and R. Poonkuzhali, Parkinson's Disease Assist Device Using Machine Learning and Internet of Things, IEEE International Conference on Communication and Signal Processing, 2018.
Ty E. Stovall graduated in 2021 with an M.S. in Applied Cognitive Neuroscience from The University of Texas at Dallas. He received a B.S. in Physics, a B.S. in Math, and a minor in Explosives Engineering from the New Mexico Institute of Mining and Technology in 2017, and has worked as a Ballistics Engineer at Hunting Titan. His research focus was on biologically-inspired neuromorphic architectures as well as epileptic seizure detection with stochastic Bayesian inference.

Publications

  1. P. O. Mathews*, C. B. Duffee*, A. Thayil*, T. E. Stovall, C. H. Bennett, F. Garcia-Sanchez, M. J. Marinella, J. A. C. Incorvia, N. Hassan, X. Hu, J. S. Friedman, High-Speed CMOS-Free Purely Spintronic Asynchronous Recurrent Neural Network, APL Machine Learning 1, 016107 (2023).
  2. C. B. Duffee, P. O. Mathews, A. Thayil, T. E. Stovall, C. H. Bennett, F. Garcia-Sanchez, M. J. Marinella, J. A. C. Incorvia, N. Hassan, X. Hu, J. S. Friedman, High-Speed CMOS-Free Purely Spintronic Asynchronous Recurrent Neural Network, Joint IEEE International Magnetics Conference & Conference on Magnetism and Magnetic Materials, Jan. 2022.
Samiha Sharif graduated in 2021 with a B.S. in Electrical Engineering from The University of Texas at Dallas. Her research focus was on spintronic memory.

She was a National Science Foundation (NSF) Research Experiences for Undergraduates (REU) Fellow.
Amy S. Abraham graduated in 2021 with B.S. degrees in Computer Engineering and Electrical Engineering from The University of Texas at Dallas. Her research focus was on circuit design and modeling of efficient logic circuits composed of ambipolar carbon nanotubes.

Publications

  1. X. Hu, A. S. Abraham, J. A. C. Incorvia, J. S. Friedman, Hybrid Pass Transistor Logic with Ambipolar Transistors, IEEE International Symposium on Circuits & Systems, May 2022.
  2. X. Hu, A. S. Abraham, J. A. C. Incorvia, J. S. Friedman, Hybrid Pass Transistor Logic With Ambipolar Transistors, IEEE Transactions on Circuits & Systems I 68:1, 301-310 (2021).
Brighton A. Hill graduated in 2021 with an M.S. in Computer Engineering from The University of Texas at Dallas. His research focus was on the design and verification of neuromorphic CMOS circuits.

arXiv Preprint

  1. X. Hu, B. A. Hill, F. Garcia-Sanchez, J. S. Friedman, Threshold Logic with Current-Driven Magnetic Domain Walls, arXiv:2007.00815 (2020).

Publications

  1. A. J. Edwards, E. C. Usih, P. Zhou, B. A. Hill, S. Martindell, T. Qi, D. Biswas, X. Hu, S. M. Panduranga, J. S. Friedman, Experimental Demonstration of Stochastic Bayesian Inference using Muller C-Elements, Government Microcircuit Applications & Critical Technology Conference, Mar. 2024.
  2. X. Hu, B. A. Hill, F. Garcia-Sanchez, J. S. Friedman, Threshold Logic with Current-Driven Magnetic Domain Walls, Conference on Magnetism and Magnetic Materials, Nov. 2020.
Susana P. Lainez Garcia graduated in 2021 with B.S. degrees in Computer Engineering and Electrical Engineering from The University of Texas at Dallas. Her research focus was on spintronic memory devices.

Publications

  1. N. Hassan, F. Garcia-Sanchez, S. P. Lainez-Garcia, P. Khalili Amiri, J. S. Friedman, Toggle Spin-Orbit Torque MRAM with Perpendicular Magnetic Anisotropy, IEEE International Electron Devices Meeting - MRAM Poster Session, Dec. 2021.
  2. N. Hassan, F. Garcia-Sanchez, S. Lainez-Garcia, P. Khalili Amiri, J. S. Friedman, Field-Free Toggle Mode Spin-Orbit Torque Driven MRAM with Perpendicular Magnetic Anisotropy, APL Materials Challenges for Memory, April 2021.
    3.   • Best Poster Award Finalist
  3. N. Hassan, F. Garcia-Sanchez, S. P. Lainez-Garcia, P. Khalili Amiri, J. S. Friedman, Field-Free Toggle Spin-Orbit Torque MRAM with Perpendicular Magnetic Anisotropy, The Magnetic Recording Conference, Aug. 2020.
  4. N. Hassan, S. P. Lainez-Garcia, F. Garcia-Sanchez, J. S. Friedman, Spin-Orbit Torque Driven Toggle Mode MRAM with Perpendicular Magnetic Anisotropy, SPIE Spintronics, Aug. 2020 (invited).
  5. N. Hassan, S. P. Lainez-Garcia, F. Garcia-Sanchez, J. S. Friedman, Toggle Spin-Orbit Torque MRAM with Perpendicular Magnetic Anisotropy, IEEE Journal on Exploratory Solid-State Computational Devices and Circuits 5:2, 166-172 (2019).
  6. N. Hassan, S. P. Lainez-Garcia, F. Garcia-Sanchez, J. S. Friedman, Toggle Mode Spin-Orbit Torque Driven Perpendicular Magnetic Anisotropy MRAM, Conference on Magnetism and Magnetic Materials, Nov. 2019.
Chandler M. Linseisen graduated in 2021 with a B.S. in Electrical Engineering from The University of Texas at Dallas. Her research focus was on spintronic logic circuits.

She was awarded the UTD Undergraduate Research Scholar Award and the Jonsson School Undergraduate Research Award, and was also a National Science Foundation (NSF) Research Experiences for Undergraduates (REU) Fellow.

Publications

  1. K. Doleh, C. M. Linseisen, L. M. Humphrey, F. Garcia-Sanchez, X. Hu, W. H. Brigner, C. Cui, J. M. Martin, J. A. C. Incorvia, N. Hassan, A. J. Edwards, J. S. Friedman, Kinematic Domain Wall Model for Large-Scale Neuromorphic Network Simulation, Joint IEEE International Magnetics Conference & Conference on Magnetism and Magnetic Materials, Jan. 2022.
  2. N. Hassan, D. Saha, C. M. Linseisen, V. Vyas, M. Joslin, A. G. Pai, F. Garcia-Sanchez, J. S. Friedman, Energy Efficiency Challenges for All-Spin Logic, Microelectronics Journal 110, 105008 (2021).
Joanna M. Martin graduated in 2021 with a B.S. in Electrical Engineering from The University of Texas at Dallas. Her research focus was on spintronic logic circuits.

Publications

  1. K. Doleh, C. M. Linseisen, L. M. Humphrey, F. Garcia-Sanchez, X. Hu, W. H. Brigner, C. Cui, J. M. Martin, J. A. C. Incorvia, N. Hassan, A. J. Edwards, J. S. Friedman, Kinematic Domain Wall Model for Large-Scale Neuromorphic Network Simulation, Joint IEEE International Magnetics Conference & Conference on Magnetism and Magnetic Materials, Jan. 2022.
Pranav O. Mathews graduated in 2021 with a B.S. in Electrical Engineering from The University of Texas at Dallas. His research focus was on spintronic neuromorphic computing.

He was awarded the UTD Undergraduate Research Scholar Award.

Publications

  1. P. O. Mathews*, C. B. Duffee*, A. Thayil*, T. E. Stovall, C. H. Bennett, F. Garcia-Sanchez, M. J. Marinella, J. A. C. Incorvia, N. Hassan, X. Hu, J. S. Friedman, High-Speed CMOS-Free Purely Spintronic Asynchronous Recurrent Neural Network, APL Machine Learning 1, 016107 (2023).
  2. C. B. Duffee, P. O. Mathews, A. Thayil, T. E. Stovall, C. H. Bennett, F. Garcia-Sanchez, M. J. Marinella, J. A. C. Incorvia, N. Hassan, X. Hu, J. S. Friedman, High-Speed CMOS-Free Purely Spintronic Asynchronous Recurrent Neural Network, Joint IEEE International Magnetics Conference & Conference on Magnetism and Magnetic Materials, Jan. 2022.
Mustafa M. Sadriwala graduated in 2021 with a B.S. in Computer Science from The University of Texas at Dallas. His research focus was on spintronic logic.

Publications

  1. P. Zhou, L. Gnoli, M. M. Sadriwala, F. Riente, G. Turvani, N. Hassan, X. Hu, M. Vacca, J. S. Friedman, Multilayer Nanomagnet Threshold Logic, IEEE Transactions on Electron Devices 68:4, 1944-1949 (2021).
Abbas A. Zaki graduated in 2021 with a B.S. in Biomedical Engineering and a B.A. in Economics from The University of Texas at Dallas. His research focus was on implantable computing systems.

He was awarded the UTD Undergraduate Research Scholar Award.
Neilesh Betrabet graduated in 2020 with a B.S. in Computer Engineering from The University of Texas at Dallas. His research focus was on skyrmion logic circuit design.

Publications

  1. X. Hu, M. Chauwin, F. Garcia-Sanchez, B. W. Walker, N. Betrabet, J. A. C. Incorvia, A. Paler, C. Moutafis, J. S. Friedman, Skyrmion Logic System for Large-Scale Reversible Computing, IEEE International Conference on Nanotechnology, July 2021 (invited).
  2. X. Hu, M. Chauwin, F. Garcia-Sanchez, N. Betrabet, A. Paler, C. Moutafis, J. S. Friedman, Reversible Skyrmion Logic System, International Conference on Nanomagnetism and Spintronics (Solitons and Skyrmion Magnetism), June 2021.
  3. X. Hu, M. Chauwin, F. Garcia-Sanchez, N. Betrabet, A. Paler, C. Moutafis, J. S. Friedman, Reversible Skyrmion Logic System, APS March Meeting, Mar. 2021.
  4. X. Hu, M. Chauwin, F. Garcia-Sanchez, N. Betrabet, A. Paler, C. Moutafis, J. S. Friedman, Skyrmion Logic System for Large-Scale Reversible Computing, IEEE International Conference on Rebooting Computing, Dec. 2020.
  5. M. Chauwin*, X. Hu*, F. Garcia-Sanchez, N. Betrabet, A. Paler, C. Moutafis, J. S. Friedman, Skyrmion Logic System for Large-Scale Reversible Computation, Physical Review Applied 12:6, 064053 (2019).
    6.   • Featured as Editors' Suggestion
  6. X. Hu, M. Chauwin, F. Garcia-Sanchez, N. Betrabet, C. Moutafis, J. S. Friedman, Cascaded Skyrmion Logic System Inspired by Conservative Logic, SPIE Spintronics, Aug. 2019 (invited).
  7. X. Hu, M. Chauwin, F. Garcia-Sanchez, N. Betrabet, C. Moutafis, J. S. Friedman, Cascaded Skyrmion Logic System Inspired by Conservative Logic, Joint IEEE International Magnetics Conference & Conference on Magnetism and Magnetic Materials, Jan. 2019.
Lucian Jiang-Wei graduated in 2019 with a B.S. in Computer Science from The University of Texas at Dallas. His research focus was on spintronic logic synthesis and neuromorphic computing.

Publications

  1. J. A. C. Incorvia, J. S. Friedman, M. J. Marinella, O. G. Akinola, C. Cui, N. Hassan, C. H. Bennett, X. Hu, L. Jiang-Wei, W. H. Brigner, F. Garcia-Sanchez, M. Pasquale, Modeling Biological Behavior in Domain Wall-Magnetic Tunnel Junction Artificial Neurons and Synapses for Energy-Efficient Neuromorphic Computing, Conference on Magnetism and Magnetic Materials, Nov. 2020 (invited).
  2. J. A. C. Incorvia, J. S. Friedman, M. J. Marinella, O. G. Akinola, C. Cui, N. Hassan, C. Bennett, X. Hu, L. Jiang-Wei, W. H. Brigner, F. Garcia-Sanchez, M. Pasquale, Capturing Biological Behavior in Nanomagnetic Artificial Neurons and Synapses for Energy-Efficient Neuromorphic Computing, Pacific Rim Meeting on Electrochemical & Solid-State Science, Oct. 2020 (invited).
  3. V. Vyas, L. Jiang-Wei, P. Zhou, X. Hu, J. S. Friedman, Karnaugh Map Method for Memristive and Spintronic Asymmetric Basis Logic Functions, IEEE Transactions on Computers 70:1, 128-138 (2021).
  4. W. H. Brigner, X. Hu, N. Hassan, L. Jiang-Wei, C. H. Bennett, F. Garcia-Sanchez, O. Akinola, M. Pasquale, M. J. Marinella, J. A. C. Incorvia, J. S. Friedman, Three Artificial Spintronic Leaky Integrate-and-Fire Neurons, SPIN 10:2, 2040003 (2020).
    5.   • Featured as Cover Image for Issue
  5. W. H. Brigner, N. Hassan, L. Jiang-Wei, X. Hu, D. Saha, C. H. Bennett, M. J. Marinella, J. A. C. Incorvia, F. Garcia-Sanchez, J. S. Friedman, Shape-Based Magnetic Domain Wall Drift for an Artificial Spintronic Leaky Integrate-and-Fire Neuron, IEEE Transactions on Electron Devices 66:11, 4970-4975 (2019).
  6. W. H. Brigner, N. Hassan, X. Hu, L. Jiang-Wei, D. Saha, C. H. Bennett, M. J. Marinella, F. Garcia-Sanchez, J. A. C. Incorvia, J. S. Friedman, Magnetic Domain Wall Neurons with Intrinsic Leaking, Conference on Magnetism and Magnetic Materials, Nov. 2019.
  7. N. Hassan, X. Hu, L. Jiang-Wei, W. H. Brigner, O. G. Akinola, F. Garcia-Sanchez, M. Pasquale, C. H. Bennett, J. A. C. Incorvia, J. S. Friedman, Magnetic Domain Wall Neuron with Intrinsic Leaking and Lateral Inhibition Capability, SPIE Spintronics, Aug. 2019 (invited).
  8. N. Hassan*, X. Hu*, L. Jiang-Wei, W. H. Brigner, O. G. Akinola, F. Garcia-Sanchez, M. Pasquale, C. H. Bennett, J. A. C. Incorvia, J. S. Friedman, Magnetic Domain Wall Neuron with Lateral Inhibition, Journal of Applied Physics 124:15, 152127 (2018).
  9. N. Hassan, X. Hu, L. Jiang-Wei, W. H. Brigner, O. G. Akinola, F. Garcia-Sanchez, M. Pasquale, C. H. Bennett, J. A. C. Incorvia, J. S. Friedman, Neuromorphic Computing with Domain Wall-Based Three-Terminal Magnetic Tunnel Junctions: Neurons, Joint IEEE International Magnetics Conference & Conference on Magnetism and Magnetic Materials, Jan. 2019.
Abel Thayil was a visiting research scholar with the NanoSpinCompute Laboratory during summer 2018. He graduated with a B.Sc (H) in Physics from St. Stephen's College, Delhi University in 2015 and is currently pursuing a master's degree in Physics from Ecole Polytechnique. His research focus was on neuromorphic computing using spintronic devices.

He was awarded Ecole Polytechnique's Prix du Stage de Recherche.

Publications

  1. P. O. Mathews*, C. B. Duffee*, A. Thayil*, T. E. Stovall, C. H. Bennett, F. Garcia-Sanchez, M. J. Marinella, J. A. C. Incorvia, N. Hassan, X. Hu, J. S. Friedman, High-Speed CMOS-Free Purely Spintronic Asynchronous Recurrent Neural Network, APL Machine Learning 1, 016107 (2023).
  2. C. B. Duffee, P. O. Mathews, A. Thayil, T. E. Stovall, C. H. Bennett, F. Garcia-Sanchez, M. J. Marinella, J. A. C. Incorvia, N. Hassan, X. Hu, J. S. Friedman, High-Speed CMOS-Free Purely Spintronic Asynchronous Recurrent Neural Network, Joint IEEE International Magnetics Conference & Conference on Magnetism and Magnetic Materials, Jan. 2022.
Vaibhav Vyas graduated in 2018 with an M.S. in Electrical Engineering from The University of Texas at Dallas. Previously, he received the B.E. degree in Electronics and Communication Engineering in 2016 from Rajiv Gandhi Proudyogiki Vishwavidyalaya (R.G.P.V.) University. He currently works with the Firmware Engineering Team at Extron Electronics and continues to do research on circuit design and logic design automation for bilayer avalanche spin-diode logic and stateful memristor logic.

Thesis

Novel Logic Synthesis Techniques for Asymmetric Logic Functions based on Spintronic and Memristive Devices

Publications

  1. N. Hassan, D. Saha, C. M. Linseisen, V. Vyas, M. Joslin, A. G. Pai, F. Garcia-Sanchez, J. S. Friedman, Energy Efficiency Challenges for All-Spin Logic, Microelectronics Journal 110, 105008 (2021).
  2. V. Vyas, L. Jiang-Wei, P. Zhou, X. Hu, J. S. Friedman, Karnaugh Map Method for Memristive and Spintronic Asymmetric Basis Logic Functions, IEEE Transactions on Computers 70:1, 128-138 (2021).
  3. V. Vyas, J. S. Friedman, Sequential Circuit Design with Bilayer Avalanche Spin Diode Logic, Proc. IEEE/ACM International Symposium on Nanoscale Architectures, July 2018.
Michael J. Schultis graduated in 2018 with an M.S. in Electrical Engineering from The University of Texas at Dallas and has been an applications engineer at Texas Instruments since 2014. He received the B.E. degree in Biomedical and Electrical Engineering in 2014 from Vanderbilt University. His research focus was on stateful memristor logic.

Publications

  1. X. Hu, M. J. Schultis, M. Kramer, A. Bagla, A. Shetty, J. S. Friedman, Control Circuit Overhead for Stateful Memristor Logic, IEEE International Conference on Rebooting Computing, Dec. 2020.
  2. X. Hu, M. J. Schultis, M. Kramer, A. Bagla, A. Shetty, J. S. Friedman, Control Circuit Overhead for Stateful Memristor Logic, IBM/IEEE AI Compute Symposium, Oct. 2020.
  3. A. Siemon, R. Drabinski, M. J. Schultis, X. Hu, E. Linn, A. Heittmann, R. Waser, D. Querlioz, S. Menzel, J. S. Friedman, Stateful Three-Input Logic with Memristive Switches, Scientific Reports 9, 14618 (2019).
  4. X. Hu*, M. J. Schultis*, M. Kramer, A. Bagla, A. Shetty, J. S. Friedman, Overhead Requirements for Stateful Memristor Logic, IEEE International Symposium on Circuits & Systems, May 2019.
  5. X. Hu*, M. J. Schultis*, M. Kramer, A. Bagla, A. Shetty, J. S. Friedman, Overhead Requirements for Stateful Memristor Logic, IEEE Transactions on Circuits & Systems I 66:1, 263-273 (2019).
Maverick Chauwin was a visiting research scholar with the NanoSpinCompute Laboratory during summer 2017. He graduated from Ecole Polytechnique with a B.S. in 2016, and is currently an M.S. student at the National University of Singapore. His research focus was on skyrmion logic circuit design.

He was awarded Ecole Polytechnique's Grand Prix du Stage de Recherche.

Publications

  1. X. Hu, M. Chauwin, F. Garcia-Sanchez, B. W. Walker, N. Betrabet, J. A. C. Incorvia, A. Paler, C. Moutafis, J. S. Friedman, Skyrmion Logic System for Large-Scale Reversible Computing, IEEE International Conference on Nanotechnology, July 2021 (invited).
  2. X. Hu, M. Chauwin, F. Garcia-Sanchez, N. Betrabet, A. Paler, C. Moutafis, J. S. Friedman, Reversible Skyrmion Logic System, International Conference on Nanomagnetism and Spintronics (Solitons and Skyrmion Magnetism), June 2021.
  3. X. Hu, M. Chauwin, F. Garcia-Sanchez, N. Betrabet, A. Paler, C. Moutafis, J. S. Friedman, Reversible Skyrmion Logic System, APS March Meeting, Mar. 2021.
  4. X. Hu, M. Chauwin, F. Garcia-Sanchez, N. Betrabet, A. Paler, C. Moutafis, J. S. Friedman, Skyrmion Logic System for Large-Scale Reversible Computing, IEEE International Conference on Rebooting Computing, Dec. 2020.
  5. X. Hu, N. Hassan, W. H. Brigner, M. Chauwin, J. S. Friedman, Device Modeling and Circuit Design for Scalable Beyond-CMOS Computing, IFIP/IEEE International Conference on Very Large Scale Integration, Oct. 2020.
  6. M. Chauwin*, X. Hu*, F. Garcia-Sanchez, N. Betrabet, A. Paler, C. Moutafis, J. S. Friedman, Skyrmion Logic System for Large-Scale Reversible Computation, Physical Review Applied 12:6, 064053 (2019).
    7.   • Featured as Editors' Suggestion
  7. X. Hu, M. Chauwin, F. Garcia-Sanchez, N. Betrabet, C. Moutafis, J. S. Friedman, Cascaded Skyrmion Logic System Inspired by Conservative Logic, SPIE Spintronics, Aug. 2019 (invited).
  8. X. Hu, M. Chauwin, F. Garcia-Sanchez, N. Betrabet, C. Moutafis, J. S. Friedman, Cascaded Skyrmion Logic System Inspired by Conservative Logic, Joint IEEE International Magnetics Conference & Conference on Magnetism and Magnetic Materials, Jan. 2019.

Patent

  1. J. S. Friedman, X. Hu, M. A. M. Chauwin, Reversible Computing System and Method based on Conservative Magnetic Skyrmion Logic, U.S. Patent #11,539,365 (2022).
Jason Hyndman graduated in 2017 with a B.S. in Computer Engineering from The University of Texas at Dallas. Previously, he served for twenty years in the United States Marine Corps as a Radio Technician. His research focus was on logic circuit design with ferromagnetic nanowires.