MEMQuD Publications

Effect of electrode materials on resistive switching behaviour of NbOx-based memristive devices

Scientific Reports

Nature Communications

https://doi.org/10.1038/s41598-023-44110-w

Tomography of memory engrams in self-organizing nanowire connectomes

Gianluca Milano

Nature Communications

https://doi.org/10.1038/s41467-023-40939-x

Memristive devices for metrological applications

SPICE Simulation of Quantum Transport in Al2O3/HfO2-Based Antifuse Memory Cells

Enrique Miranda

IEEE Electron Device Letters

https://doi.org/10.36227/techrxiv.22640299.v1

Exploring Conductance Quantization Effects in Electroformed Filaments for Their Potential Application to a

Resistance Standard

Enrique Miranda

Advanced Quantum Technologies

https://doi.org/10.1002/qute.202300048

Resistive switching and role of interfaces in memristive devices based on amorphous NbOx by anodic oxidation

Gianluca Milano

Physical Chemistry Chemical Physics

https://doi.org/10.1039/D3CP01160G

Variability in Resistive Memories

Enrique Miranda

Advanced Intelligent Systems

https://doi.org/10.1002/aisy.202200338

In materia implementation strategies of physical reservoir computing with memristive nanonetworks

G. Milano, K. Montano, C. Ricciardi

Journal of Physics D: Applied Physics

https://doi.org/10.1088/1361-6463/acb7ff

Quantitative Element-Sensitive Analysis of Individual Nanoobjects

Burkhard Beckhoff et al.

Small

https://doi.org/10.1002/smll.202204943

Fast Fitting of the Dynamic Memdiode Model to the Conduction Characteristics of RRAM Devices Using Convolutional Neural Networks

E. Miranda

Micromachines

https://doi.org/10.3390/mi13112002

Experimental and Modeling Study of Metal–Insulator Interfaces to Control the Electronic Transport in Single Nanowire Memristive Devices

G. Milano, E. Miranda, I.Valov, C.Ricciardi

ACS Applied Materials and Interfaces

https://doi.org/10.1021/acsami.2c11022

Traceable Characterization of Nanomaterials by X-ray Spectrometry Using Calibrated Instrumentation

Burkhard Beckhoff

Nanomaterials

https://doi.org/10.3390/nano12132255

Memristive devices as a potential resistance standard

V. Cabral, A. Cultrera, S. Chen, J.Pereira, L. Ribeiro, I. Godinho, L. Boarino, N. De Leo, L. Callegaro, S.Cardoso, I. Valov, G. Milano

Proceedings: 25th IMEKO TC-4 International Symposium. IMEKO TC-4 2022

ISBN: 978-92-990090-1-7

https://imeko-tc4-2022.org/procs/IMEKO_2022_Proceedings.pdf

ALTECH 2021–Analytical Techniques for Precise Characterization of Nano Materials

L. Boarino, F. A. de Castro, P. Hönicke, Y. Kaiser and M. C. Lepy

Phisica Status Solidi A

DOI: 10.1002/pssa.202200130

https://doi.org/10.1002/pssa.202200130

Quantum conductance in memristive devices: fundamentals, developments, and applications

Gianluca Milano, Luca Boarino, Umberto Celano, Sayani Majumdar, Mariela Menghini, Enrique Miranda, Carto Ricciardi, Stefan Tappertzhofen, Ilia Valov

Advanced Materials

DOI: 10.1002/adma.202201248

https://doi.org/10.1002/adma.202201248

Connectome of memristive nanowire networks through graph theory

Gianluca Milano, Enrique Miranda, Carlo Ricciardi

Neural Networks

DOI: 10.1016/j.neunet.2022.02.022

https://doi.org/10.1016/j.neunet.2022.02.022

SPICE Implementation of the Dynamic Memdiode Model for Bipolar Resistive Switching Devices

Enrique Miranda

Micromachines

DOI: 10.3390/mi13020330

https://doi.org/10.3390/mi13020330

In Materia Should Be Used Instead of In Materio

Carlo Ricciardi, Gianluca Milano

Frontiers in Nanotechnology

DOI: 10.3389/fnano.2022.850561

https://doi.org/10.3389/fnano.2022.850561

Grid-Graph Modeling of Emergent Neuromorphic Dynamics and Heterosynaptic PLasticity in Memristive Nanonetworks

Kevin Montano, Gianluca Milano, Carlo Ricciardi

Neuromorphic Computing and Engineering (2022)

DOI: 10.1088/2634-4386/ac4d86 

https://iopscience.iop.org/article/10.1088/2634-4386/ac4d86

2022 Roadmap on Neuromorphic Computing and Engineering

Dennis V. Christensen, Regina Dittmann […] N. Pryds

Neuromorphic computing and Engineering (2022)

DOI: 10.1088/2634-4386/ac4a83 

https://iopscience.iop.org/article/10.1088/2634-4386/ac4a83


Memristive devices based on single ZnO nanowires - from material synthesis to neuromorphic functionalities

Gianluca Milano, Luca Boarino, Ilia Valov, Carlo Ricciardi

Semiconductor Science and Technology

DOI: 10.1088/1361-6641/ac4b8a

https://iopscience.iop.org/article/10.1088/1361-6641/ac4b8a


Design of Materials Configuration for Optimizing Redox-Based Resistive Switching Memories

Shaochuan Chen, Ilia ValoV 

Advanced Materials, (2021)

DOI: 10.1002/adma.202105022 

https://onlinelibrary.wiley.com/doi/full/10.1002/adma.202105022 

Assessment and Improvement of the Pattern Recognition Performance of Memdiode-Based Cross-Point Arrays with Randomly Distributed Stuck-at-faults

Fernando L. Aguirre, Sebastian M. Pazos, Félix Palumbo, Antoni Morell, Jordi Suné, Enrique Miranda

Electronics, (2021)

DOI: 10.3390/electronics10192427 

https://www.mdpi.com/2079-9292/10/19/2427

In materia reservoir computing with a fully memristive architecture based on self-organizing nanowire networks

Gianluca Milano, Giacomo Pedretti, Kevin Montano, Saverio Ricci, Shahin Hashemkhani, Luca Boarino, Daniele Ielmini & Carlo Ricciardi 

Nature Materials, (2021)

DOI: 10.1038/s41563-021-01099-9

https://www.nature.com/articles/s41563-021-01099-9

SPICE Simulation of RRAM-Based Cross-POint Arrays Using the Dynamic Memdiode Model

Fernando L. Aguirre, Sebastian M. Pazos, Félix Palumbo, Jordi Sune, Enrique Miranda

Frontiers in Physics, (2022)

DOI: 10.3389/fphy.2021.735021 

https://www.frontiersin.org/articles/10.3389/fphy.2021.735021/full

Structure‐Dependent Influence of Moisture on Resistive Switching Behavior of ZnO Thin Films

Milano, G., Luebben, M., Laurenti, M., Boarino, L., Ricciardi, C., & Valov, I. . 

Advanced Materials Interfaces, 2100915 (2021)

DOI: 10.1002/admi.202100915

https://onlinelibrary.wiley.com/doi/full/10.1002/admi.202100915

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