Zobrazeno 1 - 10
of 420
pro vyhledávání: '"Bandyopadhyay, Supriyo"'
Stochastic neurons are efficient hardware accelerators for solving a large variety of combinatorial optimization problems. "Binary" stochastic neurons (BSN) are those whose states fluctuate randomly between two levels +1 and -1, with the probability
Externí odkaz:
http://arxiv.org/abs/2402.06168
Coupling between spin waves (SWs) and other types of waves in nanostructured magnetic media has garnered increased attention in recent years because of the rich physics and the potential to produce disruptive technologies. Among this family of intrig
Externí odkaz:
http://arxiv.org/abs/2312.09343
Autor:
Karki, Suyogya, Kwon, Jaesuk, Davies, Joe, Fabiha, Raisa, Rogers, Vivian, Leonard, Thomas, Bandyopadhyay, Supriyo, Incorvia, Jean Anne C.
Strain-controlled modulation of the magnetic switching behavior in magnetic tunnel junctions (MTJs) could provide the energy efficiency needed to accelerate the use of MTJs in memory, logic, and neuromorphic computing, as well as an additional way to
Externí odkaz:
http://arxiv.org/abs/2311.08984
Publikováno v:
Journal of Physics D: Applied Physics, 2023
Spin field effect transistors (SpinFET) are an iconic class of spintronic devices that exploit gate tuned spin-orbit interaction in semiconductor channels interposed between ferromagnetic source and drain contacts to elicit transistor functionality.
Externí odkaz:
http://arxiv.org/abs/2308.07986
Probabilistic computing with binary stochastic neurons (BSN) implemented with low- or zero-energy barrier nanoscale ferromagnets (LBMs) possessing in-plane magnetic anisotropy has emerged as an efficient paradigm for solving computationally hard prob
Externí odkaz:
http://arxiv.org/abs/2307.04663
Autor:
Finocchio, Giovanni, Incorvia, Jean Anne C., Friedman, Joseph S., Yang, Qu, Giordano, Anna, Grollier, Julie, Yang, Hyunsoo, Ciubotaru, Florin, Chumak, Andrii, Naeemi, Azad J., Cotofana, Sorin D., Tomasello, Riccardo, Panagopoulos, Christos, Carpentieri, Mario, Lin, Peng, Pan, Gang, Yang, J. Joshua, Todri-Sanial, Aida, Boschetto, Gabriele, Makasheva, Kremena, Sangwan, Vinod K., Trivedi, Amit Ranjan, Hersam, Mark C., Camsari, Kerem Y., McMahon, Peter L., Datta, Supriyo, Koiller, Belita, Aguilar, Gabriel H., Temporão, Guilherme P., Rodrigues, Davi R., Sunada, Satoshi, Everschor-Sitte, Karin, Tatsumura, Kosuke, Goto, Hayato, Puliafito, Vito, Åkerman, Johan, Takesue, Hiroki, Di Ventra, Massimiliano, Pershin, Yuriy V., Mukhopadhyay, Saibal, Roy, Kaushik, Wang, I-Ting, Kang, Wang, Zhu, Yao, Kaushik, Brajesh Kumar, Hasler, Jennifer, Ganguly, Samiran, Ghosh, Avik W., Levy, William, Roychowdhury, Vwani, Bandyopadhyay, Supriyo
Publikováno v:
Nano Futures (2024)
In the "Beyond Moore's Law" era, with increasing edge intelligence, domain-specific computing embracing unconventional approaches will become increasingly prevalent. At the same time, adopting a variety of nanotechnologies will offer benefits in ener
Externí odkaz:
http://arxiv.org/abs/2301.06727
Publikováno v:
IEEE Transactions on Electron Devices, 69 (12), 7120-7127 (2022)
We propose and analyze a compact and non-volatile nanomagnetic (all-spin) non-binary matrix multiplier performing the multiply-and-accumulate (MAC) operation using two magnetic tunnel junctions - one activated by strain to act as the multiplier, and
Externí odkaz:
http://arxiv.org/abs/2211.06490
Autor:
Bandyopadhyay, Supriyo
Publikováno v:
Materials for Quantum Technology, 3, 015001 (2023)
The notion of a spin field effect transistor, where transistor action is realized by manipulating the spin degree of freedom of charge carriers instead of the charge degree of freedom, has captivated researchers for at least three decades. These tran
Externí odkaz:
http://arxiv.org/abs/2210.13612
Publikováno v:
IEEE Magnetics Letters, 13, 4505104 (2022)
Binary stochastic neurons (BSNs) are excellent hardware accelerators for machine learning. A popular platform for implementing them are low- or zero-energy barrier nanomagnets possessing in-plane magnetic anisotropy (e.g. circular disks or quasi-elli
Externí odkaz:
http://arxiv.org/abs/2205.01793