Search Results - "Salvo, Barbara De"

Refine Results
  1. 1

    Spiking Neural Networks Based on OxRAM Synapses for Real-Time Unsupervised Spike Sorting by Werner, Thilo, Vianello, Elisa, Bichler, Olivier, Garbin, Daniele, Cattaert, Daniel, Yvert, Blaise, De Salvo, Barbara, Perniola, Luca

    Published in Frontiers in neuroscience (03-11-2016)
    “…In this paper, we present an alternative approach to perform spike sorting of complex brain signals based on spiking neural networks (SNN). The proposed…”
    Get full text
    Journal Article
  2. 2

    Ferrocene and Porphyrin Monolayers on Si(100) Surfaces: Preparation and Effect of Linker Length on Electron Transfer by Huang, Kai, Duclairoir, Florence, Pro, Tiziana, Buckley, Julien, Marchand, Gilles, Martinez, Eugénie, Marchon, Jean‐Claude, De Salvo, Barbara, Delapierre, Guillaume, Vinet, Françoise

    Published in Chemphyschem (14-04-2009)
    “…The missing link: Ferrocene and porphyrin monolayers are tethered on silicon surfaces with short (see picture, left) or long (right) linkers. Electron transfer…”
    Get full text
    Journal Article
  3. 3

    Effect of the Active Layer Thickness and Temperature on the Switching Kinetics of GeS2-Based Conductive Bridge Memories by Palma, Giorgio, Vianello, Elisa, Molas, Gabriel, Cagli, Carlo, Longnos, Florian, Guy, Jérémy, Reyboz, Marina, Carabasse, Catherine, Bernard, Mathieu, Dahmani, Faiz, Bretegnier, Damien, Liebault, Jacques, Salvo, Barbara De

    Published in Jpn J Appl Phys (25-04-2013)
    “…In this paper, the effect of the active layer thickness and temperature on the switching kinetics of GeS 2 -based conductive bridge memories is addressed…”
    Get full text
    Journal Article
  4. 4

    Siracusa: A 16 nm Heterogenous RISC-V SoC for Extended Reality With At-MRAM Neural Engine by Prasad, Arpan Suravi, Scherer, Moritz, Conti, Francesco, Rossi, Davide, Di Mauro, Alfio, Eggimann, Manuel, Gomez, Jorge Tomas, Li, Ziyun, Sarwar, Syed Shakib, Wang, Zhao, De Salvo, Barbara, Benini, Luca

    Published in IEEE journal of solid-state circuits (01-07-2024)
    “…Extended reality (XR) applications are machine learning (ML)-intensive, featuring deep neural networks (DNNs) with millions of weights, tightly latency-bound…”
    Get full text
    Journal Article
  5. 5

    Exploring Memory-Oriented Design Optimization of Edge AI Hardware for Extended Reality Applications by Parmar, Vivek, Sarwar, Syed Shakib, Li, Ziyun, Lee, Hsien-Hsin Sean, Salvo, Barbara De, Suri, Manan

    Published in IEEE MICRO (01-11-2023)
    “…Low-power edge AI capabilities are essential for on-device extended reality (XR) applications to support the vision of the metaverse. In this work, we…”
    Get full text
    Journal Article
  6. 6
  7. 7

    Narrow Heater Bottom Electrode‐Based Phase Change Memory as a Bidirectional Artificial Synapse by La Barbera, Selina, Ly, Denys R. B., Navarro, Gabriele, Castellani, Niccolò, Cueto, Olga, Bourgeois, Guillaume, De Salvo, Barbara, Nowak, Etienne, Querlioz, Damien, Vianello, Elisa

    Published in Advanced electronic materials (01-09-2018)
    “…Phase change memory can provide a remarkable artificial synapse for neuromorphic systems, as it features excellent reliability and can be used as an analog…”
    Get full text
    Journal Article
  8. 8

    Charge Localization during Program and Retention in Nitrided Read Only Memory-Like Nonvolatile Memory Devices by Nowak, Etienne, Vianello, Elisa, Perniola, Luca, Bocquet, Marc, Molas, Gabriel, Kies, Rabah, Gely, Marc, Ghibaudo, Gerard, De Salvo, Barbara, Reimbold, Gilles, Boulanger, Fabien

    Published in Japanese Journal of Applied Physics (01-04-2010)
    “…An alternative solution to standard Flash memories is represented by nitride-trap memories as silicon--oxide--nitride--oxide--silicon (SONOS) or nitrided read…”
    Get full text
    Journal Article
  9. 9
  10. 10
  11. 11

    Explanation of the Charge Trapping Properties of Silicon Nitride Storage Layers for NVMs-Part II: Atomistic and Electrical Modeling by Vianello, E., Driussi, F., Blaise, P., Palestri, P., Esseni, D., Perniola, L., Molas, G., De Salvo, B., Selmi, L.

    Published in IEEE transactions on electron devices (01-08-2011)
    “…Based on the material analysis of the SiN layers presented in part I of this paper, we develop accurate atomistic and electrical models for the silicon nitride…”
    Get full text
    Journal Article
  12. 12

    Three-dimensional Simulation of the dependence of the programming window of SOI nanocrystal memories on the channel width by Fiori, G., Iannaccone, G., Molas, G., Barbara De Salvo

    Published in IEEE transactions on nanotechnology (01-05-2005)
    “…In this paper, we present an approach based on three-dimensional simulations for the investigation of the dependence of the programming window of…”
    Get full text
    Journal Article Conference Proceeding
  13. 13

    Analytical model of the effects of a nonuniform distribution of stored charge on the electrical characteristics of discrete-trap nonvolatile memories by Perniola, L., Bernardini, S., Iannaccone, G., Masson, P., Barbara De Salvo, Ghibaudo, G., Gerardi, C.

    Published in IEEE transactions on nanotechnology (01-05-2005)
    “…We propose an analytical model of the effects of a nonuniform distribution of trapped charge on the electrical characteristics and on the perspectives of 2-bit…”
    Get full text
    Journal Article Conference Proceeding
  14. 14
  15. 15

    Manipulation of periodic Coulomb blockade oscillations in ultra-scaled memories by single electron charging of silicon nanocrystal floating gates by Molas, G., Jehl, X., Sanquer, M., Barbara De Salvo, Lafond, D., Deleonibus, S.

    Published in IEEE transactions on nanotechnology (01-05-2005)
    “…Ultra-scaled silicon nanocrystal memories fabricated on a silicon-on-insulator substrate exhibit very periodic Coulomb blockade oscillations at 4.2 K. We…”
    Get full text
    Journal Article Conference Proceeding
  16. 16

    Modeling of the programming window distribution in multinanocrystals memories by Perniola, L., Barbara De Salvo, Ghibaudo, G., Para, A.F., Pananakakis, G., Vidal, V., Baron, T., Lombardo, S.A.

    Published in IEEE transactions on nanotechnology (01-12-2003)
    “…In this paper, the impact of the Si nanocrystals technological fluctuations on the programming window dispersion of multi nanocrystals memory is thoroughly…”
    Get full text
    Journal Article Conference Proceeding
  17. 17

    Bilayer Metal-Oxide Conductive Bridge Memory Technology for Improved Window Margin and Reliability by Barci, Marinela, Perniola, Luca, Molas, Gabriel, Cagli, Carlo, Vianello, Elisa, Bernard, Mathieu, Roule, Anne, Toffoli, Alain, Cluzel, Jacques, De Salvo, Barbara

    “…In this paper, a detailed reliability analysis of metal-oxide conductive bridge memories (CBRAM) is presented. This paper mostly focuses on electrical…”
    Get full text
    Journal Article
  18. 18

    Interface Engineering of Ag- -Based Conductive Bridge RAM for Reconfigurable Logic Applications by Palma, Giorgio, Vianello, Elisa, Thomas, Olivier, Suri, Manan, Onkaraiah, Santhosh, Toffoli, Alain, Carabasse, Catherine, Bernard, Mathieu, Roule, Anne, Pirrotta, Onofrio, Molas, Gabriel, De Salvo, Barbara

    Published in IEEE transactions on electron devices (01-03-2014)
    “…In this paper, we show performance and reliability improvement of Ag- GeS 2 -based conductive bridge RAM (CBRAM) devices by addition of a 2-nm-thick HfO 2…”
    Get full text
    Journal Article
  19. 19

    Investigation of Hybrid Molecular/Silicon Memories With Redox-Active Molecules Acting as Storage Media by Pro, T., Buckley, J., Huang, K., Calborean, A., Gely, M., Delapierre, G., Ghibaudo, G., Duclairoir, F., Marchon, J.-C., Jalaguier, E., Maldivi, P., De Salvo, B., Deleonibus, S.

    Published in IEEE transactions on nanotechnology (01-03-2009)
    “…In this paper, a physical investigation of hybrid molecular/Si memory capacitor structures is proposed, where redox-active molecules act as storage medium. Fc…”
    Get full text
    Journal Article
  20. 20