Education
1993: Laurea (Master Degree) in Physics, Università di Pisa, Italy
1993: Diploma di Licenza in Fisica, Scuola Normale Superiore, Pisa
1997: PhD in Physics, Scuola Normale Superiore
1999: Medical Physics Specialization, Università di Pisa
Career
1997 - 1999: Post-Doc felloship (INFM-SNS, Pisa)
1999 - 2000: Visiting researcher at the University of Nijmegen (NL)
2000 - 2003: Scientist at NEST-INFM, SNS, Pisa
2003 - 2004: Visiting Scholar at the University of California - San Diego
2003 - 2009: Research Scientist at NEST-CNR-INFM, SNS, Pisa
2010 - 2021: Senior Research Scientist at NEST-CNR-Istituto Nanoscienze, SNS, Pisa
2021 - present: Research Director at CNR-Istituto Nanoscienze, NEST-SNS, Pisa
Memberships, assignments, responsibilities
2024 - : INFN research associate, CSN V, Section of Pisa
2023 - : Member of the Scientific board of DSFSM Department of CNR
2021 - : Member of the Interdisciplinary Group on Science, Technology and Society of CNR (Area-Pisa)
2020 - : Member of the Institute Board of Istituto Nanoscienze - CNR
2018 - : Member of the Marie Curie Alumni Association (MCAA)
2017 - : National Habilitation as Full Professor of Applied Physics and Condensed Matter Physics (Theory)
2010 - : Panel member for grants of national research programmes of EU countries, Remote reviewer for ERC starting grants
2009 - : Adjunct prof of Biophysics, Numerical methods and Structure of matter dept of Physics Univ of Pisa
2007 - : Panel member for assignment of HPC resources within PRACE and ISCRA programmes
2000 - : PhD and Master degree committees
Multi-scale modelling, combining Density Functional Theory, (reactive) classical Molecular Dynamics and Coarse Grained models with advanced sampling methods. Current applications are both to materials and biomolecular systems:
See also https://green.nano.cnr.it and https://bio.nano.cnr.it/
M Bini, V Tozzini, G Brancolini Deconstructing Electrostatics of Functionalized Metal Nanoparticles from Molecular Dynamics Simulations J Phys Chem B (2023)
F Del Debbio, MS Bertilacchi, A Gonnelli, E Da Pozzo, V Tozzini, C Martini, S Capaccioli, B Costa An insight into hypothesized biological mechanisms contributing to the Flash effect Front Phys (2023)
S Ozden, S Monti, V Tozzini, NS Dutta, S Gili, N Caggiano, AJ Link, NM Pugno, J Higgins, RD Priestley, CB Arnold Egg protein derived ultralightweight hybrid monolithic aerogel for water purification Mater Today (2022)
A Apponi, […] V Tozzini, Heisenberg’s uncertainty principle in the PTOLEMY project: A theory update et al Phys Rev D (2022)
Delfino, Y. Porozov, E. Stepanov, G. Tamazian, and V. Tozzini, Evolutionary Switches Structural Transitions via Coarse-Grained Models, J Comput Biol (2020)
Brancolini and V. Tozzini, Multiscale modeling of proteins interaction with functionalized nanoparticles, Curr Opin Coll Int Sci (2019)
Cavallucci, Y. Murata, M. Takamura, H. Hibino, S. Heun, and V. Tozzini, Unraveling localized states in quasi free standing monolayer graphene by means of Density Functional Theory, Carbon (2018)
Cavallucci and V. Tozzini, Multistable Rippling of Graphene on SiC: A Density Functional Theory Study, J Phys Chem C (2016)
Bonaccorso, L. Colombo, G. Yu, M. Stoller, V. Tozzini, A. C. Ferrari, R. S. Ruoff, and V. Pellegrini, Graphene, related two-dimensional crystals, and hybrid systems for energy conversion and storage, Science (2015)
Istituto Nanoscienze
Consiglio Nazionale delle Ricerche
PEC: protocollo.nano@pec.cnr.it
Partita IVA 02118311006
Piazza San Silvestro 12
56127 Pisa, Italy
phone +39 050 509418
fax +39 050 509550
Istituto Nanoscienze Consiglio Nazionale delle Ricerche
Piazza San Silvestro 12, I
56127 Pisa
phone +39 050 509525/418
fax +39 050 509550
via Campi 213/A, I
41125 Modena 7
phone +39 059 2055629
fax +39 059 2055651″
Cookie | Duration | Description |
---|---|---|
cookielawinfo-checkbox-analytics | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics". |
cookielawinfo-checkbox-functional | 11 months | The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". |
cookielawinfo-checkbox-necessary | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary". |
cookielawinfo-checkbox-others | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other. |
cookielawinfo-checkbox-performance | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance". |
viewed_cookie_policy | 11 months | The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data. |