Matteo Fasano

Foto di Matteo Fasano

Professore Associato (L.240)
Dipartimento Energia (DENERG)

  • Componente Centro Interdipartimentale CWC - CleanWaterCenter@PoliTo

Profilo

Interessi di ricerca

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

Biografia

Matteo Fasano is an Associate Professor and co-Director of the Multi-Scale Modelling Laboratory – SMaLL at Politecnico di Torino. He completed the Ph.D. in Energy Engineering and Nanotechnology at Politecnico di Torino in 2015. During doctoral studies, Matteo was one-year research fellow at the Department of Nanomedicine of the Houston Methodist Research Institute (Houston, TX-USA) and visiting researcher at the Massachusetts Institute of Technology (Cambridge, MA-USA). He also collaborated with scientists from Imperial College (London, UK) and University of Minnesota (Minneapolis, MN-USA). His doctoral thesis was awarded as the best Ph.D. research by the Energy Department of Politecnico di Torino in 2015 and by the ENI Award in 2017, which is considered as the most prestigious prize for young scientists in the energy field. Since 2014, he has (co-) authored over 50 publications, including highly cited articles on Nature Communications, Nature Sustainability and Science Advances. He has been active for more than ten years in modelling heat and mass transfer in a broad variety of applications. In particular, bio/nanotechnologies, colloidal suspensions, polymer-based composites and nanoporous materials for thermal energy storage have been studied by various approaches, including atomistic (molecular dynamics, Monte Carlo), mesoscopic (coarse-grained) and continuum modelling techniques, as well as machine learning tools. Dr. Fasano is currently involved in three European and two national research projects dealing with multiscale simulations of nanostructured materials for applications spanning from the environmental to the energy field.

Settore scientifico discliplinare

IIND-07/A - Fisica tecnica industriale
(Area 0009 - Ingegneria industriale e dell'informazione)

Competenze

Settori ERC

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

Premi e riconoscimenti

  • ENI Award - Debut in Research conferito da ENI spa, Italia (2017)
  • Premi di Qualità conferito da Politecnico di Torino, Italia (2014)

Didattica

Collegi dei Corsi di Studio

Insegnamenti

Dottorato di ricerca

MostraNascondi A.A. passati

Corso di laurea magistrale

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Altre attività e progetti di didattica

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.

Ricerca

Gruppi di ricerca

Progetti di ricerca

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Dottorandi

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Altre attività e progetti di ricerca

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.

Pubblicazioni

Pubblicazioni degli ultimi anni

Coautori PoliTO

Pubblicazioni per tipo

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Società e imprese

Brevetti e altre proprietà intellettuali