Matteo Fasano

Associate Professor (L. 240)
Department of Energy (DENERG)

  • Member of Interdepartmental Center CWC - CleanWaterCenter@PoliTo

Profile

Research interests

Computational molecular modelling
Cooling systems
Desalination
Heat storage
Heat transfer
Mass transfer
Multi-scale modelling
Nanocomposites
Nanotechnology
Solar energy

Scientific branch

IIND-07/A - Thermal Engineering and Industrial Energy Systems
(Area 0009 - Industrial and information engineering)

Skills

ERC sectors

PE8_4 - Computational engineering
PE8_6 - Energy processes engineering
PE8_11 - Environmental engineering, e.g. sustainable design, waste and water treatment, recycling, regeneration or recovery of compounds, carbon capture & storage
PE8_8 - Materials engineering (metals, ceramics, polymers, composites, etc.)
PE3_15 - Statistical physics: phase transitions, noise and fluctuations, models of complex systems, etc.

SDG

Goal 6: Clean water and sanitation
Goal 7: Affordable and clean energy
Goal 9: Industry, Innovation, and Infrastructure

Awards and Honors

  • Premi di Qualità conferred by Politecnico di Torino, Italy (2014)
  • ENI Award - Debut in Research conferred by ENI spa, Italy (2017)

Teaching

Collegi of the degree programmes

Teachings

PhD

MostraNascondi A.A. passati

Master of Science

MostraNascondi A.A. passati

Other activities and projects related to teaching

At Politecnico di Torino, Prof. Fasano teaches the courses "Energy applications of materials" and “Advanced topics of Engineering Thermodynamics” for the MSc in Mechanical and Energy Engineering, the course “Modelling of Nanoscale heat and mass transfer phenomena” for the PhD in Energetics, and he is in the management board of the CleanWaterCenter interdepartmental initiative.

Research

Research groups

Research projects

Projects funded by competitive calls

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Projects funded by commercial contracts

Supervised PhD students

  • Davide Forte. Programme in Materiali, Processi Sostenibili E Sistemi Per La Transizione (39th cycle, 2023-in progress)
  • Roberto Raffaele Meo. Programme in Energetica (39th cycle, 2023-in progress)
  • Stefan Morosanu. Programme in Energetica (39th cycle, 2023-in progress)
  • Matteo Calo'. Programme in Energetica (38th cycle, 2022-in progress)
    Research subject: Hydrogels for air/water separation.
    Energy efficiency in buildings and in industry
    Heat and mass transfer
    Energy systems sustainability and optimization
    Energy efficiency in buildings and in industry
    Heat and mass transfer
    Energy systems sustainability and optimization
    Energy efficiency in buildings and in industry
    Heat and mass transfer
    Energy systems sustainability and optimization
  • Matteo Maria Piredda. Programme in Energetica (38th cycle, 2022-in progress)
  • Marina Provenzano. Programme in Energetica (38th cycle, 2022-in progress)
  • Ali Naeimi Tabasian. Programme in Ingegneria Civile E Ambientale (37th cycle, 2021-in progress)
  • Atta Muhammad. Programme in Energetica (36th cycle, 2020-in progress)
    Thesis: Multiscale Modelling and Experimental Validation of Composites for Energy Applications
  • Alessandro Ribezzo. Programme in Energetica (36th cycle, 2020-in progress)
    Thesis: Enhancing transport phenomena in phase-change composites for thermal energy storage
  • Giovanni Trezza. Programme in Energetica (36th cycle, 2020-in progress)
    Thesis: Artificial Intelligence based screening of materials for energy storage applications
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Other activities and projects related to research

Since 2014, Prof. Fasano has (co-) authored over 80 publications, including highly cited articles in Nature Communications, Nature Sustainability, and Science Advances. His research focuses on modelling heat and mass transfer in a broad range of applications, including enhanced heat transfer, thermal energy storage, nanomedicine, solar energy harvesting, and thermal desalination. He has expertise in various modelling techniques, including atomistic (molecular dynamics, Monte Carlo), mesoscopic (coarse-grained), continuum and system-level modelling techniques, as well as machine learning tools.

Publications

Last years publications

PoliTO co-authors

Publications by type

Most cited publications View all publications in Porto@Iris

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Society and Enterprise

Patents and other intellectual properties