Prof. Lamberto Rondoni
Professore/Professoressa a contratto
- Dipartimento di Scienze Matematiche
Politecnico di Torino
Corso Duca degli Abruzzi, 24
10129 Torino - Italy
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Selection of recent publications in reverse chronological order:
Jepps Owen G, Rondoni Lamberto (2016). A dynamical-systems interpretation of the dissipation function, T-mixing and their relation to thermodynamic relaxation. JOURNAL OF PHYSICS. A, MATHEMATICAL AND THEORETICAL, vol. 49, p. 1-20
Salari Lucia, Rondoni Lamberto, Giberti Claudio, Klages Rainer (2015). A simple non-chaotic map generating subdiffusive, diffusive, and superdiffusive dynamics. CHAOS, vol. 25, ISSN: 1054-1500, doi: 10.1063/1.4926621
Auletta Gennaro, Rondoni Lamberto, Vulpiani Angelo (2015). About the maximum entropy principle in non equilibrium statistical mechanics. INDIAN OCEAN REVIEW OF SCIENCE AND TECHNOLOGY, p. 1-9, ISSN: 2312-1874
Paul O'Hara, Lamberto Rondoni (2015). Brownian Motion in Minkowski Space. ENTROPY, vol. 17, p. 3581-3594, ISSN: 1099-4300, doi: 10.3390/e17063581
Mukherjee Sayan, Palit Sanjay Kumar, Banerjee Santo, Ariffin M.R.K., Rondoni Lamberto, Bhattacharya D.K. (2015). Can complexity decrease in congestive heart failure?. PHYSICA. A, vol. 439, p. 93-102
Ansalone Patrizio, Chinappi Mauro, Rondoni Lamberto, Cecconi Fabio (2015). Driven diffusion against electrostatic or effective energy barrier across α-hemolysin. THE JOURNAL OF CHEMICAL PHYSICS, vol. 143, ISSN: 0021-9606, doi: 10.1063/1.4933012
- Meccanica statistica del disequilibrio: fondamenti e applicazioni (INT0374)
Corso di Laurea Magistrale Interateneo in Fisica dei Sistemi Complessi
Temi di ricerca
LR works in statistical physics, particularly on the subject of fluctuations at the nanoscale and of general non-equilibrium systems. Statistical mechanics aims at describing the physical properties of a macroscopic system on the basis of the behaviour of its microscopic constituents . The most developed part of statistical physics concerns equilibrium situations, but the majority of assumptions employed for systems at equilibrium has very limited application for out of equilibrium phenomena. Recent efforts led by a number of scientists including LR have unveiled exciting new and rigorous results, which are collectively known as Fluctuation Relations [2-5]. These represent one of the few general, accurate descriptions achieved so far in non-equilibrium systems, covering a wide variety of phenomena and observables; moreover these developments led to numerous results concerning the response of a most wide class of systems to perturbations. Currently, research in this field is of particular interest in bio- and nano-sciences and technology, as well as in "soft" sciences (socio-economic, media and communications etc.) in which the notion of proper equilibrium cannot be established, and stationary states are characterized by large fluctuations.
1. Chandler, D.W., Introduction to Modern Statistical Mechanics. 1987, UK: Oxford University Press. 2. Evans, D.J. and D.J. Searles, The fluctuation theorem. Advances in Physics, 2002. 51(7): p. 1529-1585.
3. Gallavotti, G. and E.G.D. Cohen, Dynamical ensembles in nonequilibrium statistical mechanics. Physical Review Letters,
1995. 74(14): p. 2694-2697.
4. Jarzynski, C., Nonequilibrium equality for free energy differences. Physical Review Letters, 1997. 78(14): p. 2690-2693.
5. Marconi, U.M.B., Puglisi, A., Rondoni, L and Vulpiani, A. Fluctuation-dissipation: Response theory in statistical
physics. Physics Reports, 2008. 461(4-6): p. 111-195.
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