Gianluca Milano

Dottorato in Fisica , 31^o ciclo (2015-2018)

Dottorato concluso nel 2019

Davide Pilati. Corso in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (ciclo 39, 2023-in corso)
Argomento della ricerca: Computing non convenzionale basato su reti neuromorfiche di nanofili

Big Data, Machine Learning, Neural Networks and Data Science

Electronic devices: modeling and characterization

Micro- and nanotechnologies, devices, systems and applications

Big Data, Machine Learning, Neural Networks and Data Science

Electronic devices: modeling and characterization

Micro- and nanotechnologies, devices, systems and applications
Ivan De Carlo. Corso in Metrologia (ciclo 37, 2021-in corso)
Tesi: Superconductivity in low-dimensional Nb nanostructures
Chiara Magosso. Corso in Metrologia (ciclo 37, 2021-in corso)
Tesi: A digitalization framework enabling development and application of self-assembled materials
Giuseppe Leonetti. Corso in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (ciclo 36, 2020-2024)
Tesi: Memristive devices based on NbOx

Micro- and nanotechnologies, devices, systems and applications

Micro- and nanotechnologies, devices, systems and applications

Micro- and nanotechnologies, devices, systems and applications

Milano, Gianluca; Porro, Samuele; Valov, Ilia; Ricciardi, Carlo (2019)
Recent Developments and Perspectives for Memristive Devices Based on Metal Oxide Nanowires. In: ADVANCED ELECTRONIC MATERIALS. ISSN 2199-160X
Contributo su Rivista
Milano, Gianluca (2019)
ZnO nanowires for memristive devices with enhanced functionalities. relatore: RICCIARDI, CARLO; , 31. XXXI Ciclo, P.: 171
Doctoral Thesis
Milano, Gianluca; Luebben, Michael; Ma, Zheng; Dunin-Borkowski, Rafal; Boarino, Luca; ... (2018)
Self-limited single nanowire systems combining all-in-one memristive and neuromorphic functionalities. In: NATURE COMMUNICATIONS, vol. 9. ISSN 2041-1723
Contributo su Rivista