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Fabricación, caracterización, simulación, modelado y aplicaciones de dispositivos de conmutación resistiva
Miranda Castellano, Enrique Alberto
(Principal Investigator)
Morell Perez, Antoni
(Principal Investigator 2)
Boquet Pujadas, Guillem
(Collaborator)
Macias Toro, Edwar Hernando
(Collaborator)
Muñoz Gorriz, Jordi
(Collaborator)
Lopez Vicario, Jose
(Investigator)
Serrano Garcia, Javier
(Investigator)
Suñe Tarruella, Jorge Francisco
(Investigator)
Department of Electronic Engineering
Department of Telecommunications and Systems Engineering
Overview
Fingerprint
Research output
(1)
Project Details
Status
Finished
Effective start/end date
1/01/18
→
30/09/21
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Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Hardware
Computer Science
100%
Deep Neural Network
Engineering
39%
Conductance
Engineering
39%
Stages
Engineering
39%
Low Resistance
Engineering
39%
Application Software
Computer Science
39%
Input Voltage
Engineering
19%
Mapping
Engineering
19%
Research output
Research output per year
2022
2022
2022
1
Article
Research output per year
Research output per year
Ternary Neural Networks Based on on/off Memristors: Set-Up and Training
Morell, A.
,
Machado, E. D.
,
Miranda, E.
,
Vicario, J. L.
&
Boquet, G.
,
10 May 2022
,
In:
Electronics (Switzerland).
11
,
10
,
17 p.
, 1526.
Research output
:
Contribution to journal
›
Article
›
Research
›
peer-review
Open Access
Neural Network
100%
Hardware
83%
Conductance
33%
Deep Neural Network
33%
Stages
33%
1
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