Zobrazeno 1 - 10
of 98
pro vyhledávání: '"Luca Leuzzi"'
Autor:
Nino Lauber, Ondrej Tichacek, Rudrarup Bose, Christoph Flamm, Luca Leuzzi, T-Y Dora Tang, Kepa Ruiz-Mirazo, Daniele De Martino
Publikováno v:
iScience, Vol 26, Iss 4, Pp 106300- (2023)
Summary: Physical mechanisms of phase separation in living systems play key physiological roles and have recently been the focus of intensive studies. The strongly heterogeneous nature of such phenomena poses difficult modeling challenges that requir
Externí odkaz:
https://doaj.org/article/3877b7526eb14139988ef31c4b2d3f35
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-8 (2017)
Abstract The inverse problem is studied in multi-body systems with nonlinear dynamics representing, e.g., phase-locked wave systems, standard multimode and random lasers. Using a general model for four-body interacting complex-valued variables we tes
Externí odkaz:
https://doaj.org/article/d276f0427c344c6c85a98c57d390224b
Autor:
Moriah B. Bostian, Cinzia Daraio, Rolf Färe, Shawna Grosskopf, Maria Grazia Izzo, Luca Leuzzi, Giancarlo Ruocco, William L. Weber
Publikováno v:
Entropy, Vol 22, Iss 12, p 1401 (2020)
Network models provide a general representation of inter-connected system dynamics. This ability to connect systems has led to a proliferation of network models for economic productivity analysis, primarily estimated non-parametrically using Data Env
Externí odkaz:
https://doaj.org/article/01eb9da97a544509b41d33ee8f8c2620
Publikováno v:
Physical Review Research, Vol 2, Iss 2, p 023399 (2020)
We present here a unifying perspective for the lack of equipartition in nonlinear ordered systems and the low-temperature phase-space fragmentation in disordered systems. We demonstrate that they are just two manifestation of the same underlying phen
Externí odkaz:
https://doaj.org/article/e217c7f3768e47358e2a1b63fa25aec5
Autor:
Maddalena Dilucca, Luca Leuzzi, Giorgio Parisi, Federico Ricci-Tersenghi, Juan J. Ruiz-Lorenzo
Publikováno v:
Entropy, Vol 22, Iss 2, p 250 (2020)
We discuss a phase transition in spin glass models that have been rarely considered in the past, namely, the phase transition that may take place when two real replicas are forced to be at a larger distance (i.e., at a smaller overlap) than the typic
Externí odkaz:
https://doaj.org/article/58742b045ca64254b8930d48a615a9b3
Autor:
Nino Lauber, Ondrej Tichacek, Rudrarup Bose, Christoph Flamm, Luca Leuzzi, T-Y Dora Tang, Kepa Ruiz-Mirazo, Daniele De Martino
Physical mechanisms of phase separation in living systems can play key physiological roles and have recently been the focus of intensive studies. The strongly heterogeneous and disordered nature of such phenomena in the biological domain poses diffic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be456970810a554ea8f25698bb8eb7fb
We study a class of Hopfield models where the memories are represented by a mixture of Gaussian and binary variables and the neurons are Ising spins. We study the properties of this family of models as the relative weight of the two kinds of variable
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f262044c08336726c6378952ef5dc6be
https://hdl.handle.net/11573/1664691
https://hdl.handle.net/11573/1664691
Autor:
Daniele Ancora, Luca Leuzzi
Publikováno v:
Journal of Physics A: Mathematical and Theoretical. 55:395002
Recently, significant efforts in medical imaging are towards the exploitation of disordered media as optics tools. Among several approaches, the transmission matrix description is promising for characterizing complex structures and, currently, has en
Publikováno v:
Proc Natl Acad Sci U S A
Spin glasses (SGs) are paradigmatic models for physical, computer science, biological, and social systems. The problem of studying the dynamics for SG models is nondetermistic polynomial-time (NP) hard; that is, no algorithm solves it in polynomial t
Publikováno v:
Emerging Digital Micromirror Device Based Systems and Applications XIII.
Spin Glasses (SG) are paradigmatic models for physical, computer science, biological and social systems. The problem of studying the dynamics for SG models is NP-hard, i.e., no algorithm solves it in polynomial time. Here we implement the optical sim