Enrique Miranda

Dr. Enrique Miranda

orcid

Research Focus & Metrics

Academic Career Length

34Years (1993-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2017 in Advanced Functional Materials
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CPChengbin Pan
Chengbin Pan
YJYanfeng Ji
Yanfeng Ji
NXNa Xiao
Na Xiao
FHFei Hui
Fei Hui
KTKechao Tang
Kechao Tang
MLMario Lanza
Mario Lanza

12 July 2011 in IEEE Transactions on Electron Devices
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Journal Article
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CWChristian Walczyk
Christian Walczyk
DWDamian Walczyk
Damian Walczyk
TSThomas Schroeder
Thomas Schroeder
TBThomas Bertaud
Thomas Bertaud
MSMałgorzata Sowinska
Małgorzata Sowinska
CWChristian Wenger
Christian Wenger
Back-end-of-line integrated 1 × μm 2 TiN/HfO 2 /Ti/TiN MIM memory devices in a 0.25- μm complementary metal-oxide-semiconductor technology were built to investigate the conduction mechanism and the resistive switching behavior as a function of temperature. The temperature-dependent I - V characteristics in fresh devices are attributed to the Poole-Frenkel mechanism with an extracted trap energy level at φ ≈ 0.2 eV below the HfO 2 conduction band. The trap level is associated with positively charged oxygen vacancies. The electroformed memory cells show a stable bipolar switching behavior in the temperature range from 213-413 K. The off -state current increases with temperature, whereas the on-state current can be described by a weak metallic behavior. Furthermore, the results suggest that the I - V cycling not only induces significant changes in the electrical properties of the MIM memory devices, i.e., the increase in the off-state current, but also stronger temperature dependence. The temperature effect on the on-state and off-state characteristics is modeled within the framework of the quantum point-contact model for dielectric breakdown using an effective temperature-dependent confinement potential.

26 April 2010 in IEEE Electron Device Letters
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Journal Article
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EMEnrique Miranda
Enrique Miranda
CWChristian Walczyk
Christian Walczyk
CWChristian Wenger
Christian Wenger
TSThomas Schroeder
Thomas Schroeder
A physics-based analytical model for the current-voltage (I-V) characteristics corresponding to the low and high resistive states in electroformed metal-insulator-metal structures with HfO 2 layers is proposed. The model relies on the Landauer theory for the electron transport in mesoscopic systems. The switching phenomenon is ascribed to the modulation of the constriction's bottleneck cross-sectional area associated with atomic rearrangements within the confinement path. The extracted parameter values allow one to conclude that the length and radius of the region that controls the conduction characteristics are in the nanometer range.

5 November 2012 in Applied Physics Letters
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MLM. Lanza
M. Lanza
GBG. Bersuker
G. Bersuker
MPMarc Porti
Marc Porti
EMEnrique Miranda
Enrique Miranda
MNMontserrat Nafria
Montserrat Nafria
XAX. Aymerich
X. Aymerich
Overcoming challenges associated with implementation of resistive random access memory technology for non-volatile information storage requires identifying the material characteristics responsible for resistive switching. In order to connect the switching phenomenon to the nano-scale morphological features of the dielectrics employed in memory cells, we applied the enhanced conductive atomic force microscopy technique for in situ analysis of the simultaneously collected electrical and topographical data on HfO2 stacks of various degrees of crystallinity. We demonstrate that the resistive switching is a local phenomenon associated with the formation of a conductive filament with a sufficiently small cross-section, which is determined by the maximum passing current. Switchable filament is found to be formed at the dielectric sites where the forming voltages were sufficiently small, which, in the case of the stoichiometric HfO2, is observed exclusively at the grain boundary regions representing low resistant conductive paths through the dielectric film.

6 May 2013 in Applied Physics Letters
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SLShibing Long
Shibing Long
XLXiaojuan Lian
Xiaojuan Lian
CCCarlo Cagli
Carlo Cagli
XCXavier Cartoixà
Xavier Cartoixà
RRRiccardo Rurali
Riccardo Rurali
Jordi SuñéJordi Suñé
Jordi Suñé
Discrete changes of conductance of the order of G0 = 2e2/h reported during the unipolar reset transitions of Pt/HfO2/Pt structures are interpreted as the signature of atomic-size variations of the conducting filament (CF) nanostructure. Our results suggest that the reset occurs in two phases: a progressive narrowing of the CF to the limit of a quantum wire (QW) followed by the opening of a spatial gap that exponentially reduces the CF transmission. First principles calculations show that oxygen vacancy paths in HfO2 with single- to few-atom diameters behave as QWs and are capable of carrying current with G0 conductance.

14 October 2013 in Scientific Reports
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SLShibing Long
Shibing Long
LPLuca Perniola
Luca Perniola
CCCarlo Cagli
Carlo Cagli
Julien BuckleyJulien Buckley
Julien Buckley
XLXiaojuan Lian
Xiaojuan Lian
Jordi SuñéJordi Suñé
Jordi Suñé
Resistive switching (RS) based on the formation and rupture of conductive filament (CF) is promising in novel memory and logic device applications. Understanding the physics of RS and the nature of CF is of utmost importance to control the performance, variability and reliability of resistive switching memory (RRAM). Here, the RESET switching of HfO2-based RRAM was statistically investigated in terms of the CF conductance evolution. The RESET usually combines an abrupt conductance drop with a progressive phase ending with the complete CF rupture. RESET1 and RESET2 events, corresponding to the initial and final phase of RESET, are found to be controlled by the voltage and power in the CF, respectively. A Monte Carlo simulator based on the thermal dissolution model of unipolar RESET reproduces all of the experimental observations. The results contribute to an improved physics-based understanding on the switching mechanisms and provide additional support to the thermal dissolution model.