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pro vyhledávání: '"Molas, G."'
By imitating the synaptic connectivity and plasticity of the brain, emerging electronic nanodevices offer new opportunities as the building blocks of neuromorphic systems. One challenge for largescale simulations of computational architectures based
Externí odkaz:
http://arxiv.org/abs/2205.05053
Autor:
Moro, Filippo, Esmanhotto, E., Hirtzlin, T., Castellani, N., Trabelsi, A., Dalgaty, T., Molas, G., Andrieu, F., Brivio, S., Spiga, S., Indiveri, G., Payvand, M., Vianello, E.
Spiking Neural Networks (SNNs) can unleash the full power of analog Resistive Random Access Memories (RRAMs) based circuits for low power signal processing. Their inherent computational sparsity naturally results in energy efficiency benefits. The ma
Externí odkaz:
http://arxiv.org/abs/2202.05094
Publikováno v:
Eur. Phys. J. B 70, 475-481 (2009)
We extend a simple model of a charge trap coupled to a single-electron box to energy ranges and parameters such that it gives new insights and predictions readily observable in many experimental systems. We show that a single background charge is eno
Externí odkaz:
http://arxiv.org/abs/0810.0672
A simple and highly reproducible single electron transistor (SET) has been fabricated using gated silicon nanowires. The structure is a metal-oxide-semiconductor field-effect transistor made on silicon-on-insulator thin films. The channel of the tran
Externí odkaz:
http://arxiv.org/abs/cond-mat/0609245
Publikováno v:
Euro. Phys. Jour. B. 54, 299-307 (2006)
We study anomalies in the Coulomb blockade spectrum of a quantum dot formed in a silicon nanowire. These anomalies are attributed to electrostatic interaction with charge traps in the device. A simple model reproduces these anomalies accurately and w
Externí odkaz:
http://arxiv.org/abs/cond-mat/0504325
Akademický článek
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Autor:
Guy, J., Molas, G., Vianello, E., Carabasse, C., Blaise, P., Bernard, M., Souchier, E., Francois, P., Aussenac, F., Delaye, V., Clermidy, F., De Salvo, B.
Publikováno v:
In Thin Solid Films 31 July 2014 563:15-19
Autor:
Charpin-Nicolle, C., de Luca, A., Persico, A., Médico, G., Tallaron, C., Aussenac, F., Kies, R., Molas, G., Masoero, L., Cueto, O., de Salvo, B.
Publikováno v:
In Microelectronic Engineering 25 April 2014 118:15-19
Autor:
Molas, G., Piccolboni, G., Bricalli, A., Verdy, A., Naot, I., Cohen, Y., Regev, A., Naveh, I., Deleruyelle, D., Rafhay, Q., Castellani, N., Reganaz, L., Persico, A., Segaud, R., Nodin, J., Meli, V., Martin, S., Andrieu, F., Grenouillet, L.
Publikováno v:
2022 IEEE International Memory Workshop (IMW)
2022 IEEE International Memory Workshop (IMW), May 2022, Dresden, France. pp.1-4, ⟨10.1109/IMW52921.2022.9779293⟩
2022 IEEE International Memory Workshop (IMW), May 2022, Dresden, France. pp.1-4, ⟨10.1109/IMW52921.2022.9779293⟩
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9592fae9b199094aab679e5379ee189a
https://hal.science/hal-03840618
https://hal.science/hal-03840618
Autor:
Lopez, J. Minguet, Rummens, F., Reganaz, L., Heraud, A., Hirtzlin, T., Grenouillet, L., Navarro, G., Bernard, M., Carabasse, C., Castellani, N., Meli, V., Martin, S., Magis, T., Vianello, E., Sabbione, C., Deleruyelle, D., Bocquet, M., Portal, J. M., Molas, G., Andrieu, F.
Publikováno v:
IMW 2022-IEEE International Memory Workshop
IMW 2022-IEEE International Memory Workshop, May 2022, Dresden, Germany. pp.1-4, ⟨10.1109/IMW52921.2022.9779253⟩
2022 IEEE International Memory Workshop (IMW)
IMW 2022-IEEE International Memory Workshop, May 2022, Dresden, Germany. pp.1-4, ⟨10.1109/IMW52921.2022.9779253⟩
2022 IEEE International Memory Workshop (IMW)
International audience; We experimentally validated the sub-threshold reading strategy in OxRAM+OTS crossbar arrays for low precision inference in Binarized Neural Networks. In order to optimize the 1S1R sub-threshold current margin, an experimental
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::236c263ed3c5a7f751695823256c7c11
https://cea.hal.science/cea-03707392
https://cea.hal.science/cea-03707392