Now showing items 1-17 of 17

    • A pragmatic gaze on stochastic resonance based variability tolerant memristance 

      Ntinas, Vasileios; Rubio Sola, Jose Antonio; Sirakoulis, Georgios Ch.; Cotofana, Sorin (Institute of Electrical and Electronics Engineers (IEEE), 2019)
      Conference report
      Open Access
      Stochastic Resonance (SR) is a nonlinear system specific phenomenon, which was demonstrated to lead to system unexpected (counter-intuitive) performance improvements under certain noise conditions. Memristor, on the other ...
    • Beneficial role of noise in Hf-based memristors 

      Rodriguez, Rosana; Martin Martinez, Javier; Salvador, Emili; Crespo Yepes, Albert; Miranda, Enrique Alberto; Nafria, Montserrat; Rubio Sola, Jose Antonio; Ntinas, Vasileios; Sirakoulis, Georgios Ch. (Institute of Electrical and Electronics Engineers (IEEE), 2022)
      Conference report
      Open Access
      The beneficial role of noise in the performance of Hf-based memristors has been experimentally studied. The addition of an external gaussian noise to the bias circuitry positively impacts the memristors characteristics by ...
    • Compact thermo-diffusion based physical memristor model 

      Fyrigos, Iosif-Angelos; Chatzinikolaou, Theodoros Panagiotis; Ntinas, Vasileios; Kitsios, Stavros; Bousoulas, Panagiotis; Tsompanas, Michael-Antisthenis; Tsoukalas, Dimitris; Adamatzky, Andrew; Rubio Sola, Jose Antonio; Sirakoulis, Georgios Ch. (Institute of Electrical and Electronics Engineers (IEEE), 2022)
      Conference report
      Restricted access - publisher's policy
      The threshold switching effect is critical in memristor devices for a range of applications, from crossbar design reliability to simulating neuromorphic features using artificial neural networks. The rich inherit dynamics ...
    • Coupled physarum-inspired memristor oscillators for neuron-like operations 

      Ntinas, Vasileios; Vourkas, Ioannis; Sirakoulis, Georgios Ch.; Adamatzky, Andrew; Rubio Sola, Jose Antonio (2018)
      Conference report
      Open Access
      Unconventional computing has been studied intensively, even after the appearance of CMOS technology. Currently, it has returned to the spotlight because CMOS is about to reach its physical limits, given that the constant ...
    • Experimental investigation of memristance enhancement 

      Ntinas, Vasileios; Rubio Sola, Jose Antonio; Sirakoulis, Georgios; Rodriguez, Rosana; Nafría Maqueda, Montserrat (2019)
      Conference report
      Restricted access - publisher's policy
      Memristor devices are two-terminal nanoscale circuit elements that exhibit nonvolatile information storing and can be manufactured in ultra-dense arrays with low-power operation. Although, theoretically, memristors are ...
    • Experimental study of artificial neural networks using a digital memristor simulator 

      Ntinas, Vasileios; Vourkas, Ioannis; Abusleme, Angel; Sirakoulis, Georgios; Rubio Sola, Jose Antonio (2018-02-01)
      Article
      Open Access
      This paper presents a fully digital implementation of a memristor hardware simulator, as the core of an emulator, based on a behavioral model of voltage-controlled threshold-type bipolar memristors. Compared to other analog ...
    • Future and emergent materials and devices for resistive switching 

      Karakolis, Panagiotis; Normand, Pascal; Dimitrakis, Panagiotis; Ntinas, Vasileios; Fyrigos, Iosif; Karafydillis, Ioannis; Sirakoulis, Georgios (2018)
      Conference report
      Restricted access - publisher's policy
      During the last years, Resistive Random-Access Memories (ReRAMs or RRAMs) stimulated growing attention as promising non-volatile (NV) candidate memories to surpass existing storage devices while exhibiting excellent ...
    • Harnessing memristor circuits and device variability in emergent computing applications 

      Ntinas, Vasileios (Universitat Politècnica de Catalunya, 2022-04-04)
      Doctoral thesis
      Open Access
      Covenantee:   Dēmokriteio Panepistēmio Thrakēs
      (English) Nowadays, due to the increasing amount of information and its demanding processing, conventional CMOS technology and von Neumann computing architecture struggle to keep pace, as they meet their respective limitations ...
    • MemCA: all-memristor design for deterministic and probabilistic cellular automata hardware realization 

      Ntinas, Vasileios; Fyrigos, Iosif-Angelos; Karamani, Rafallia; Vasileiadis, Nikolaos; Dimitrakis, Panagiotis; Rubio Sola, Jose Antonio; Sirakoulis, Georgios Ch. (Institute of Electrical and Electronics Engineers (IEEE), 2023-05-08)
      Article
      Open Access
      Inspired by the behavior of natural systems, Cellular Automata (CA) tackle the demanding long-distance information transfer of conventional computers by the massive parallel computation performed by a set of locally-coupled ...
    • Memristive cellular automata for modeling of epileptic brain activity 

      Karamani, Rafallia; Fyrigos, Iosif; Ntinas, Vasileios; Vourkas, Ioannis; Sirakoulis, Georgios Ch.; Rubio Sola, Jose Antonio (2018)
      Conference report
      Open Access
      Cellular Automata (CA) is a nature-inspired and widespread computational model which is based on the collective and emergent parallel computing capability of units (cells) locally interconnected in an abstract brain-like ...
    • Noise-induced Performance Enhancement of Variability-aware Memristor Networks 

      Ntinas, Vasileios; Fyrigos, Iosif; Sirakoulis, Georgios; Rubio Sola, Jose Antonio; Martin Martinez, Javier; Rodriguez, Rosana; Nafría Maqueda, Montserrat (2019)
      Conference report
      Restricted access - publisher's policy
      Memristor networks are capable of low-power, massive parallel processing and information storage. Moreover, they have widely used for a vast number of intelligent data analysis applications targeting mobile edge devices ...
    • Plasma modified silicon nitride resistive switching memories 

      Karakolis, Panagiotis; Normand, Pascal; Dimitrakis, Panagiotis; Sygelou, L; Ntinas, Vasileios; Fyrigos, Iosif; Karafydillis, Ioannis; Sirakoulis, Georgios (2019)
      Conference report
      Restricted access - publisher's policy
      In this article we present RRAM single-cells based on MIS devices utilizing LPCVD silicon nitride thin layer as resistive switching material. The thin SiN layer was modified by plasma in order to improve the switching ...
    • Power-efficient noise-Induced reduction of ReRAM cell’s temporal variability effects 

      Ntinas, Vasileios; Rubio Sola, Jose Antonio; Sirakoulis, Georgios; Salvador, Emili; Pedro, Marta; Crespo-Yepes, A.; Martin Martinez, Javier; Rodríguez Martínez, Rosana; Nafría Maqueda, Montserrat (2021-04)
      Article
      Open Access
      Resistive Random Access Memory (ReRAM) is apromising novel memory technology for non-volatile storing, with low-power operation and ultra-high area density. However, ReRAM memories still face issues through commerciali ...
    • Probabilistic resistive switching device modeling based on Markov jump processes 

      Ntinas, Vasileios; Rubio Sola, Jose Antonio; Sirakoulis, Georgios (Institute of Electrical and Electronics Engineers (IEEE), 2020-12-02)
      Article
      Open Access
      In this work, a versatile mathematical framework for multi-state probabilistic modeling of Resistive Switching (RS) devices is proposed for the first time. The mathematical formulation of memristor and Markov jump processes ...
    • Stochastic resonance effect in binary STDP performed by RRAM devices 

      Salvador Aguilera, Emili; Rodríguez Martínez, Rosana; Martin Martínez, Javier; Crespo Yepes, Albert; Miranda Castellano, Enrique Alberto; Nafría Maqueda, Montserrat; Rubio Sola, Jose Antonio; Ntinas, Vasileios; Sirakoulis, Georgios Ch. (Institute of Electrical and Electronics Engineers (IEEE), 2022)
      Conference report
      Open Access
      The beneficial role of noise in the binary spike time dependent plasticity (STDP) learning rule, when implemented with memristors, is experimentally analyzed. The two memristor conductance states, which emulate the neuron ...
    • Wave cellular automata for computing applications 

      Chatzinikolaou, Theodoros Panagiotis; Fyrigos, Iosif-Angelos; Ntinas, Vasileios; Kitsios, Stavros; Bousoulas, Panagiotis; Tsompanas, Michael-Antisthenis; Tsoukalas, Dimitris; Adamatzky, Andrew; Sirakoulis, Georgios Ch. (Institute of Electrical and Electronics Engineers (IEEE), 2022)
      Conference report
      Restricted access - publisher's policy
      There is a continuous urge for higher efficiency in conventional computing systems, driven by an ever-growing demand for these systems’ complexity to be able to match the one of convoluted and challenging problems. However, ...
    • Wave computing with passive memristive networks 

      Fyrigos, Iosif; Ntinas, Vasileios; Sirakoulis, Georgios; Adamatzky, Andrew; Erokhin, Victor; Rubio Sola, Jose Antonio (Institute of Electrical and Electronics Engineers (IEEE), 2019)
      Conference report
      Open Access
      Since CMOS technology approaches its physical limits, the spotlight of computing technologies and architectures shifts to unconventional computing approaches. In this area, novel computing systems, inspired by natural and ...