Nicola FERRO

Qualifica
Ricercatore
E-mail
nicola.ferro@unive.it
SSD
Analisi numerica [MATH-05/A]
Sito web
www.unive.it/persone/nicola.ferro (scheda personale)
Struttura
Dipartimento di Scienze Molecolari e Nanosistemi
Sito web struttura: https://www.unive.it/dsmn
Sede: Campus scientifico via Torino

Ferro, Nicola; Mezzadri, Francesco; Carbonaro, Dario; Galligani, Emanuele; Gallo, Diego; Morbiducci, Umberto; Chiastra, Claudio; Perotto, Simona Designing novel vascular stents with enhanced mechanical behavior through topology optimization of existing devices in FINITE ELEMENTS IN ANALYSIS AND DESIGN, vol. 244, pp. 1-18 (ISSN 0168-874X)
DOI - URL correlato 2025, Articolo su rivista - Scheda ARCA: 10278/5091493


Dario Carbonaro; Nicola Ferro; Francesco Mezzadri; Diego Gallo; Alberto L. Audenino; Simona Perotto; Umberto Morbiducci; Claudio Chiastra Easy-to-use formulations based on the homogenization theory for vascular stent design and mechanical characterization in COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, vol. 257, pp. 1-10 (ISSN 0169-2607)
DOI - URL correlato 2024, Articolo su rivista - Scheda ARCA: 10278/5091494


Ferro Nicola; Micheletti Stefano; Parolini Nicola; Perotto Simona; Verani Marco; Antonietti Paola Francesca Level set-fitted polytopal meshes with application to structural topology optimization in COMPUTERS & MATHEMATICS WITH APPLICATIONS, vol. 169, pp. 99-111 (ISSN 0898-1221)
DOI - URL correlato 2024, Articolo su rivista - Scheda ARCA: 10278/5091489


Liverotti, Luca; Ferro, Nicola; Soli, Luca; Matteucci, Matteo; Perotto, Simona Using SAR data as an effective surrogate for optical data in nitrogen variable rate applications: A winter wheat case study in ADVANCES IN COMPUTATIONAL SCIENCE AND ENGINEERING, vol. 2, pp. 320-341 (ISSN 2837-1739)
DOI - URL correlato 2024, Articolo su rivista - Scheda ARCA: 10278/5092027


Davide Calabrò; Massimiliano Lupo Pasini; Nicola Ferro; Simona Perotto A Deep Learning Approach for Detection and Localization of Leaf Anomalies , Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators, Springer Science and Business Media Deutschland GmbH, vol. 151, pp. 43-66 (ISBN 978-3-031-55060-7) (ISSN 1439-7358)
DOI - URL correlato 2024, Articolo su libro - Scheda ARCA: 10278/5091495