Zobrazeno 1 - 10
of 109
pro vyhledávání: '"Maria J. Avedillo"'
Autor:
Juan Nunez, Maria J. Avedillo
Publikováno v:
IEEE Access, Vol 7, Pp 6724-6732 (2019)
Many emerging devices are currently being explored as potential alternatives to complementary metal–oxide–semiconductor technologies for overcoming power density and energy efficiency limitations. It is now generally accepted that these emerging
Externí odkaz:
https://doaj.org/article/b8273a52ec4f4b2caa22d3f01e710ed8
Autor:
Juan Nunez, Maria J. Avedillo
Publikováno v:
IEEE Journal of the Electron Devices Society, Vol 5, Iss 6, Pp 530-534 (2017)
RF to dc passive rectifiers can benefit from the superior performance at low voltage of tunnel transistors. They have shown higher power conversion efficiency (PCE) at low input power than Si FinFETs counterparts. In this paper, we analyze the limita
Externí odkaz:
https://doaj.org/article/71bc25766d7041359566123c71aa856b
Publikováno v:
2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fee23e9a8f85bd07397e83b1b5705089
https://doi.org/10.1109/icecs202256217.2022.9970771
https://doi.org/10.1109/icecs202256217.2022.9970771
Autor:
Juan Núñez, Maria J. Avedillo
Publikováno v:
IEEE Transactions on Nanotechnology. 19:500-507
Reducing supply voltage is an effective way to reduce power consumption, however, it greatly reduces CMOS circuits speed. This translates in limitations on how low the supply voltage can be reduced in many applications due to frequency constraints. I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51f3c8503c8c3b86e5da0ba507f0bd6d
https://doi.org/10.1109/tnano.2020.3004941
https://doi.org/10.1109/tnano.2020.3004941
Autor:
Siegfried Karg, José M. Quintana, Maria J. Avedillo, Manuel Jimenez, Bernabe Linares-Barranco, Aida Todri-Sanial, Elisabetta Corti, Juan Núñez
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs
IEEE Transactions on Circuits and Systems II: Express Briefs, Institute of Electrical and Electronics Engineers, 2021, 68 (10), pp.3356-3360. ⟨10.1109/TCSII.2021.3085133⟩
IEEE Transactions on Circuits and Systems II: Express Briefs, Institute of Electrical and Electronics Engineers, 2021, 68 (10), pp.3356-3360. ⟨10.1109/TCSII.2021.3085133⟩
International audience; The collective behavior of many coupled oscillator systems is currently being explored for the implementation of different non-conventional computing paradigms. In particular, VO 2 based nano-oscillators have been proposed to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc3fdb49efb6fcc37ec4f982882b92aa
https://hal-lirmm.ccsd.cnrs.fr/lirmm-03432278
https://hal-lirmm.ccsd.cnrs.fr/lirmm-03432278
Autor:
Olivier Maher, Manuel Jiménez, Corentin Delacour, Nele Harnack, Juan Núñez, María J. Avedillo, Bernabé Linares-Barranco, Aida Todri-Sanial, Giacomo Indiveri, Siegfried Karg
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract Phase-encoded oscillating neural networks offer compelling advantages over metal-oxide-semiconductor-based technology for tackling complex optimization problems, with promising potential for ultralow power consumption and exceptionally rapid
Externí odkaz:
https://doaj.org/article/169afee7495440e5ae857cc1e7b1ef81
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
idUS. Depósito de Investigación de la Universidad de Sevilla
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Frontiers in Neuroscience
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
Frontiers in Neuroscience
Oscillatory Neural Networks (ONNs) are currently arousing interest in the research community for their potential to implement very fast, ultra-low-power computing tasks by exploiting specific emerging technologies. From the architectural point of vie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a559ac6dc0da67810d5745bea1bb9a9
Publikováno v:
DCIS
Hebbian rule plays an important role in training of artificial neural networks. According to this rule, a synaptic weight between two neurons is increased or decreased depending on the activity of the presynaptic and postsynaptic neurons. In this pap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::620509dc1065054fbb5963deaf2287b8
https://doi.org/10.1109/dcis51330.2020.9268618
https://doi.org/10.1109/dcis51330.2020.9268618
Publikováno v:
ISCAS
In this paper, we describe device-circuit co-design experiments for Hybrid Phase Transition FETs (HyperFETs). HyperFET transistors, built by connecting a phase transition material (PTM) to the source terminal of a FET, are able to increase the ON cur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::403e89dc94408d24633bc95dc10611c4
https://doi.org/10.1109/iscas45731.2020.9180660
https://doi.org/10.1109/iscas45731.2020.9180660
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
instname
Nano-oscillators based on phase transitions materials (PTM) are being explored for the implementation of different non-conventional computing paradigms. This article describes the capability of such autonomous non-linear oscillators to store phase-en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::691a95adc30b8ae5d8948a155f2b0f74
http://hdl.handle.net/10261/219932
http://hdl.handle.net/10261/219932