Gianluca Milano

Ph.D. in Fisica , 31^st cycle (2015-2018)

Ph.D. obtained in 2019

Davide Pilati. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (cycle 39, 2023-in progress)
Research subject: Unconventional computing with neuromorphic nanowire networks

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. Programme in Metrologia (cycle 37, 2021-in progress)
Thesis: Superconductivity in low-dimensional Nb nanostructures
Chiara Magosso. Programme in Metrologia (cycle 37, 2021-in progress)
Thesis: A digitalization framework enabling development and application of self-assembled materials
Giuseppe Leonetti. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (cycle 36, 2020-2024)
Thesis: 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