Associate Professor (L. 240)
Department of Applied Science and Technology (DISAT)
Profile
Research interests
Biography
I work in computational condensed matter physics, with a research path that began with studies on surfaces and interfaces and later expanded to the investigation of complex atomic dynamics and defects in metals and nanostructures. After completing my PhD in Turin, I spent nearly five years at the Bremen Center for Computational Materials Science, where I consolidated my focus on dynamic processes at the atomic scale. Since 2020 I have been at Politecnico di Torino, using multiscale simulations, advanced sampling techniques, and machine learning to reconstruct local and collective processes that govern deformation, stability, and reactivity under confinement. In parallel, I study bio-inorganic interfaces, connecting molecular structures to spectroscopic observables, and collaborate on national and international projects.
Scientific branch
(Area 0002 - Physical sciences)
Research topics
- Computational materials science for surfaces, defects, and interfaces
- Data-driven and machine learning analysis of molecular and materials behavior
- Multiscale simulations of dynamics and self-assembly
Skills
ERC sectors
SDG
Open badges
-
Learning to Teach (L2T)
Issued by Politecnico di Torino on 13-06-2024
Editorial boards
- CRYSTALS (2019-2021), Guest Editor of magazine or editorial series
Other research or teaching roles outside Politecnico
- Ricercatore, presso Universität Bremen (1/3/2016-30/6/2020)
Teaching
Collegi of the PhD programmes
- SCIENZA E TECNOLOGIA DEI MATERIALI, 2024/2025 (40. ciclo)
Politecnico di TORINO - SCIENZA E TECNOLOGIA DEI MATERIALI, 2023/2024 (39. ciclo)
Politecnico di TORINO
Collegi of the degree programmes
- Collegio di Ingegneria Elettronica, delle Telecomunicazioni e Fisica. Componente invitato
- Collegio di Ingegneria Informatica, del Cinema e Meccatronica. Componente
Teachings
PhD
- Approcci data-driven per la scienza dei materiali. A.A. 2024/25, SCIENZA E TECNOLOGIA DEI MATERIALI. Teaching assistant
Bachelor of Science
- Electromagnetism and Circuit theory (modulo di Physics II). A.A. 2025/26, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Titolare del corso
- Fisica I. A.A. 2025/26, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
- Fisica I. A.A. 2024/25, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
- Fisica I. A.A. 2023/24, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
- Fisica I. A.A. 2022/23, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
- Fisica I. A.A. 2022/23, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
- Chimica. A.A. 2021/22, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
Research
Institute
Supervised PhD students
- Simone Martino. Programme in Scienza E Tecnologia Dei Materiali (40th cycle, 2024-in progress)
- Domiziano Doria. Programme in Scienza E Tecnologia Dei Materiali (38th cycle, 2023-in progress)
Publications
Latest publications View all publications in Porto@Iris
- Perrone, Mattia; Cioni, Matteo; Delle Piane, Massimo; Pavan, Giovanni M. (2025)
Unsupervised tracking of local and collective defects dynamics in metals under deformation. In: THE JOURNAL OF CHEMICAL PHYSICS, vol. 162. ISSN 0021-9606
Contributo su Rivista - Caruso, Cristina; Crippa, Martina; Cardellini, Annalisa; Cioni, Matteo; Perrone, Mattia; ... (2025)
Classification and spatiotemporal correlation of dominant fluctuations in complex dynamical systems. In: PNAS NEXUS, vol. 4. ISSN 2752-6542
Contributo su Rivista - Solea, Atena; Dermutas, Davide; Fadaei-Tirani, Farzaneh; Leanza, Luigi; Delle Piane, ... (2025)
Nano onions based on an amphiphilic Au3( pyrazolate)3 complex. In: NANOSCALE, vol. 17, pp. 1007-1012. ISSN 2040-3372
Contributo su Rivista - Gao, Li; Delle Piane, Massimo; Corno, Marta; Jiang, Fan; Raja, Robert; Pera-Titus, M. (2024)
Synthesis of amine derivatives from furoin and furil over a Ru/Al2O3 catalyst. In: CATALYSIS SCIENCE & TECHNOLOGY, vol. 14, pp. 2593-2599. ISSN 2044-4753
Contributo su Rivista - Cioni, Matteo; DELLE PIANE, Massimo; Polino, Daniela; Rapetti, Daniele; Crippa, Martina; ... (2024)
Sampling Real‐Time Atomic Dynamics in Metal Nanoparticles by Combining Experiments, Simulations, and Machine Learning. In: ADVANCED SCIENCE, vol. 11. ISSN 2198-3844
Contributo su Rivista