W. Huang, J. Liu, S. Das, K. Inzani, V.V. Laguta, R. Chatterjee, E. Sheridan, S.M. Griffin, A. Ardavan, and R. Ramesh Coherent electric-field manipulation of spins in doped PbTiO3 Nature Materials, under review (2020).
S. Sheikhfaal and R. F. DeMara Short-Term Long-Term Compute-In-Memory Architecture: A Hybrid Spin/CMOS Approach Supporting Intrinsic Consolidation IEEE Journal on Exploratory Solid-State Computational Devices and Circuits XX, xxx-xxx (2020).
H. Pourmeidani, S. Sheikhfaal, R. Zand, and R. F. DeMara Probabilistic Interpolation Recoder for Energy-Error-Product Efficient DBNs with p-bit Devices IEEE Transactions on Emerging Topics in Computing XX, xxx-xxx (2020).
T. Shen, V. Ostwal, K.Y. Camsari, and J. Appenzeller Demonstration of a pseudo-magnetization based simultaneous write and read operation in a Co60Fe20B20/ Pb(Mg1/3Nb2/3)0.7Ti0.3O3 heterostructure accepted as IEEE Proceedings XX, xxx-xxx (2020).
K. Camsari, P. Debashis, V. Ostwal, A.Z. Pervaiz, T. Shen, Z. Chen, S. Datta, and J. Appenzeller From charge to spin and spin to charge – Unstable magnets for probabilistic switching ACM Journal on Emerging Technologies in Computing Systems (JETC), in-press (2019). (Selected to Special Issue on Hardware and Algorithms for Energy-Constrained On-chip Machine Learning).
P. Debashis, R. Faria, K. Y. Camsari, S. Datta, Z. Chen Correlated fluctuations in spin orbit torque-coupled perpendicular nanomagnets accepted as Physical Review B XX, xxx-xxx (2020).
H. Taz, B. Prasad, Y.-L. Huang, Z. Chen, S.-L. Hsu, R. Xu, V. Thakare, T.S. Sakthivel, C. Liu, M. Hettick, R. Mukherjee, S. Seal, L.W. Martin, A. Javey, G. Duscher, R. Ramesh, and R. Kalyanaraman Amorphous ferromagnetic oxides for room temperature magnetoelectrics Nature Scientific Reports 10, 3583 (2020).
V. Ostwal, T. Shen, and J. Appenzeller Efficient spin-orbit torque switching of the semiconducting van der Waals ferromagnet Cr2Ge2Te6 Advanced Materials 32, 1906021-1–1906021-7 (2020).
V. Ostwal, R. Zand, R. DeMara, and J. Appenzeller A novel compound synapse using probabilistic spin-orbit-torque switching for MTJ based deep neural network IEEE JxCDC 5, 182-187 (2020).
2019
A. Roohi, S. Sheikhfaal, S. Angizi, D. Fan, and R. F. DeMara ApGAN: Approximate GAN for Robust Low Energy Learning From Imprecise Components IEEE Transactions on Computers 69, 349-360 (2019).
Y. Lv, R. P. Bloom, and J.-P. Wang Experimental Demonstration of Probabilistic Spin Logic by Magnetic Tunnel Junctions IEEE Magnetics Letters, 10, DOI: 10.1109/LMAG.2019.2957258 (2019).
B. R. Zink, Y. Lv, and J.-P. Wang Independent Control of Antiparallel-and Parallel-State Thermal Stability Factors in Magnetic Tunnel Junctions for Telegraphic Signals with Two Degrees of Tunability IEEE Transactions on Electron Devices 66, 5353-5359 (2019).
S. D. Pyle, J. D. Sapp, and R. F. DeMara Leveraging Stochasticity for In-Situ Learning in Binarized Deep Neural Networks IEEE Computer Magazine, Special Issue on Cognitive Computing Systems and Applications 52, 30-39, (2019).
R. Zand, K. Y. Camsari, S. Datta, and R. F. DeMara Composable Probabilistic Inference Networks using MRAM-based Stochastic Neurons ACM Journal on Emerging Technologies in Computing Systems (JETC), in-press (2019). (Selected to Special Issue on Hardware and Algorithms for Energy-Constrained On-chip Machine Learning).
V. Ostwal and J. Appenzeller Spin-orbit torque controlled Magnetic Tunnel Junction with low thermal stability for tunable random number generation IEEE Magnetics Letters 10, 4503305-1 – 4503305-5 (2019).
O. Hassan, R. Faria, K.Y. Camsari, J.Z. Sun, and S. Datta Energy and Delay of Hardware Binary Stochastic Neurons IEEE Magnetics Letters 10, 4502805-1 – 4502805-5 (2019).
2018
B. R. Zink, Y. Lv, and J.-P. Wang Telegraphic switching signals by magnet tunnel junctions for neural spiking signals with high information capacity Journal of Applied Physics 124, 152121 (2018).
J. Song, I. Ahmed, Z. Zhao, D. Zhang, S. Sapatnekar, J. Wang, and C.H. Kim Evaluation of Operating Margin and Switching Probability of Voltage Controlled Magnetic Anisotropy (VCMA) Magnetic Tunnel Junctions IEEE Journal on Exploratory Solid-State Computational Devices and Circuits (JxCDC) 4, 76-84 (2018).
R. Zand, K. Y. Camsari, S. Datta, and R. F. DeMara Composable Probabilistic Inference Networks using MRAM-based Stochastic Neurons arXiv preprint arXiv:1811.11390 (2018).
S. D. Pyle, K. Camsari, and R. F. DeMara Hybrid Spin-CMOS Stochastic Spiking Neuron for High-Speed Emulation of In-Vivo Neuron Dynamics IET Computers & Digital Techniques 12, 122-129 (2018).
D. Punyashloka and Z. Chen Experimental Demonstration of a Spin Logic Device with Deterministic and Stochastic Mode of Operation Scientific reports 8, 11405 (2018).
D. Punyashloka, R. Faria, K.Y. Camsari, and Z. Chen Design of Stochastic Nanomagnets for Probabilistic Spin Logic IEEE Magnetics Letters 9, 1-5 (2018).
V. Ostwal, D. Punyashloka, F. Rafatul, Z. Chen, and J. Appenzeller Spin-torque devices with hard axis initialization as Stochastic Binary Neurons Scientific reports 8, 16689 (2018).
Conference Proceedings:
2020
P. Wood, H. Pourmeidani, R.F. DeMara Modular Simulation Framework for Process Variation Analysis of MRAM-based Deep Belief Networks Proceedings of 2020 IEEE Southeastern Conference (SECon-2020) Raleigh, NC, USA, March 12-15, 2020.
Ibrahim Ahmed, Powei Chiu, and Chris H. Kim A Probabilistic Self-annealing Compute Fabric based on 560 Hexagonally Coupled Ring Oscillators for Solving Combinatorial Optimization Problems Symposia on VLSI Technology and Circuits, June 14-19, 2020.
2019
S. Sheikhfaal, S.D. Pyle, S. Salehi, and R. F. DeMara An Ultra-Low Power Spintronic Stochastic Spiking Neuron with Self-Adaptive Discrete Sampling Proceedings of IEEE Midwest Symposium on Circuits and Systems (MWSCAS-2019), Dallas, TX, USA, Aug. 4 – 7, 2019.
S. Salehi, A. Zaeemzadeh, A. Tatulian, N. Rahnavard, and R F. DeMara MRAM-based Stochastic Oscillators for Adaptive Non-Uniform Sampling of Sparse Signals in IoT Applications Proceedings of IEEE Computer Society Annual Symposium on VLSI (ISVLSI-2019), Miami, FL, U.S.A., July 15 – 17, 2019.
S Salehi, R. Zand, A. Zaeemzadeh, N. Rahnavard, and R. F. DeMara AQuRate: MRAM-based Stochastic Oscillator for Adaptive Quantization Rate Sampling of Spectrally Sparse Signals Proceedings of 29th ACM Great Lakes Symposium on VLSI (GLSVLSI-2019), Washington DC, USA, May 9 – 11, 2019.
R. Zand and R. F. DeMara HSC-FPGA: A Hybrid Spin/Charge FPGA Leveraging the Cooperating Strengths of CMOS and MTJ Devices Proceedings of 27th ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, Seaside, CA, USA, February 24-26 (2019).
D. Punyashloka, P. Upadhyaya and Z. Chen Electrical Annealing and Stochastic Resonance in Low Barrier Perpendicular Nanomagnets for Oscillatory NeuralNetworks 77th Device Research Conference (DRC), (2019).
M. Eisinger, R. Zand, A. Adepegba, and R. F. DeMara Training Optimization of Restricted Boltzmann Machines using a Contrastive Divergence Algorithm Proceedings of 2019 IEEE Southeastern Conference (SECon-2019), Huntsville, AL, USA, April 11-14 (2019).
A. Adepegba, R. Zand, and R. F. DeMara Noise Sensitivity Analysis of Deep Belief Networks: A Monte Carlo Simulation for Memristive Crossbars Proceedings of 2019 IEEE Southeastern Conference (SECon-2019), Huntsville, AL, USA, April 11-14 (2019).
2018
R. Zand and R. F. DeMara SNRA: A Spintronic Neuromorphic Reconfigurable Array for In-Circuit Training and Evaluation of Deep Belief Networks Proceedings of IEEE International Conference on Rebooting Computing (ICRC-2018), pp. 1-8, Washington, DC, USA, November 7-9 (2018).
R. Zand, K. Y. Camsari, S. D. Pyle, I. Ahmed, C. H. Kim, and R. F. DeMara Low-Energy Deep Belief Networks using Intrinsic Sigmoidal Spintronic-based Probabilistic Neurons Proceedings of 27th IEEE/ACM Great Lakes Symposium on VLSI (GLSVLSI-2018), Chicago, IL, USA, May 23-25 (2018).
D. Punyashloka and Z. Chen Tunable Random Number Generation Using Single Superparamagnet with Perpendicular Magnetic Anisotropy 76th Device Research Conference (DRC), pp. 1-2. (2018).
2017
R. F. DeMara, A. Roohi, R. Zand, and S. D. Pyle Heterogeneous Technology Configurable Fabrics for Field Programmable Co-design of CMOS and Spin-based Devices Proceedings of IEEE International Conference on Rebooting Computing (ICRC-2017), pp. 1-4, Washington, DC, USA, November 8-9 (2017).
