Zobrazeno 1 - 10
of 315
pro vyhledávání: '"M, Shelby"'
Autor:
C. Kurter, C. E. Murray, R. T. Gordon, B. B. Wymore, M. Sandberg, R. M. Shelby, A. Eddins, V. P. Adiga, A. D. K. Finck, E. Rivera, A. A. Stabile, B. Trimm, B. Wacaser, K. Balakrishnan, A. Pyzyna, J. Sleight, M. Steffen, K. Rodbell
Publikováno v:
npj Quantum Information, Vol 8, Iss 1, Pp 1-8 (2022)
Abstract Non-equilibrium quasiparticles are possible sources for decoherence in superconducting qubits because they can lead to energy decay or dephasing upon tunneling across Josephson junctions (JJs). Here, we investigate the impact of the intrinsi
Externí odkaz:
https://doaj.org/article/ae7ab1529a48483c891935ebbd647596
Autor:
Alessandro Fumarola, Severin Sidler, Kibong Moon, Junwoo Jang, Robert M. Shelby, Pritish Narayanan, Yusuf Leblebici, Hyunsang Hwang, Geoffrey W. Burr
Publikováno v:
IEEE Journal of the Electron Devices Society, Vol 6, Pp 169-178 (2018)
Neuromorphic computing embraces the “device history” offered by many analog non-volatile memory (NVM) devices to implement the small weight changes computed by a gradient-descent learning algorithm such as backpropagation. Deterministic and stoch
Externí odkaz:
https://doaj.org/article/36efdf8a930c4875b9b68848f34662b6
Autor:
Kibong Moon, Alessandro Fumarola, Severin Sidler, Junwoo Jang, Pritish Narayanan, Robert M. Shelby, Geoffrey W. Burr, Hyunsang Hwang
Publikováno v:
IEEE Journal of the Electron Devices Society, Vol 6, Pp 146-155 (2018)
We report on material improvements to non-filamentary RRAM devices based on Pr0.7Ca0.3MnO3 by introducing an MoOx buffer layer together with a reactive Al electrode, and on device measurements designed to help gauge the performance of these devices a
Externí odkaz:
https://doaj.org/article/5fc8bb6568104ebfaee6c2b4c7bf4cd8
Autor:
Amanda M. Shelby, Carolyn M. McKune
Publikováno v:
Small Animal Anesthesia Techniques. :93-140
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c1d3b0f469adcc0c126bb4885dead26
https://doi.org/10.1002/9781119710868.ch4
https://doi.org/10.1002/9781119710868.ch4
Autor:
Dario A. Floriano, Amanda M. Shelby
Publikováno v:
Small Animal Anesthesia Techniques. :277-383
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f53af75b195259f2f38b2205dad7d60
https://doi.org/10.1002/9781119710868.s2
https://doi.org/10.1002/9781119710868.s2
Autor:
Amanda M. Shelby, Carolyn M. McKune
Publikováno v:
Small Animal Anesthesia Techniques. :197-230
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d315a6e7fe5efccd3e3bfc724a5c380
https://doi.org/10.1002/9781119710868.ch6
https://doi.org/10.1002/9781119710868.ch6
Autor:
Geoffrey W. Burr, Robert M. Shelby, Abu Sebastian, Sangbum Kim, Seyoung Kim, Severin Sidler, Kumar Virwani, Masatoshi Ishii, Pritish Narayanan, Alessandro Fumarola, Lucas L. Sanches, Irem Boybat, Manuel Le Gallo, Kibong Moon, Jiyoo Woo, Hyunsang Hwang, Yusuf Leblebici
Publikováno v:
Advances in Physics: X, Vol 2, Iss 1, Pp 89-124 (2017)
Dense crossbar arrays of non-volatile memory (NVM) devices represent one possible path for implementing massively-parallel and highly energy-efficient neuromorphic computing systems. We first review recent advances in the application of NVM devices t
Externí odkaz:
https://doaj.org/article/1d941b0cb25f48ee9b1e246af9791559
Akademický článek
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Autor:
Martin Sandberg, Noel Arellano, H. J. Mamin, Cihan Kurter, Mark H. Sherwood, Daniel Rugar, M. A. Mueed, Matthias Steffen, Robert M. Shelby, Benjamin Madon, Charles T. Rettner, Santino D. Carnevale, B. Trimm, E. Huang, Aakash Pushp
Publikováno v:
Physical Review Applied. 16
We have demonstrated a novel type of superconducting transmon qubit in which a Josephson junction has been engineered to act as its own parallel shunt capacitor. This merged-element transmon (MET) potentially offers a smaller footprint and simpler fa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b44f1b2dcf8ebaf4e3e5770391b6c767
https://doi.org/10.1103/physrevapplied.16.024023
https://doi.org/10.1103/physrevapplied.16.024023
Autor:
Pritish Narayanan, Martina Bodini, Massimo Giordano, Louis P. Romero, Robert M. Shelby, Stefano Ambrogio, Giorgio Cristiano, Hsinyu Tsai, Geoffrey W. Burr
Publikováno v:
Faraday Discussions. 213:371-391
Hardware accelerators based on two-terminal non-volatile memories (NVMs) can potentially provide competitive speed and accuracy for the training of fully connected deep neural networks (FC-DNNs), with respect to GPUs and other digital accelerators. W
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86d3c50a6bf37591000b678ea013b9eb
https://doi.org/10.1039/c8fd00107c
https://doi.org/10.1039/c8fd00107c