Zobrazeno 1 - 10
of 315
pro vyhledávání: '"MULET, R."'
Autor:
Narayanankutty, K., Pereiro-Morejon, J. A., Ferrero, A., Onesto, V., Forciniti, S., del Mercato, L. L., Mulet, R., De Martino, A., Tourigny, D. S., De Martino, D.
Overflow metabolism is a ubiquitous phenomenon whereby cells in aerobic conditions excrete byproducts of glycolysis, such as lactate or acetate, into the medium in a seemingly wasteful and polluting fashion. Whilst overflow may confer microbes a fitn
Externí odkaz:
http://arxiv.org/abs/2405.13424
We propose a new scheme to infer the metabolic fluxes of cell cultures in a chemostat. Our approach is based on the Maximum Entropy Principle and exploits the understanding of the chemostat dynamics and its connection with the actual metabolism of ce
Externí odkaz:
http://arxiv.org/abs/2109.13149
Autor:
Neira, A. E., Mulet, R.
We study a quantum system of coupled oscillators subject to a periodic excitation of its parameters. Using Floquet-Lyapunov theory we derive the linear integrals of motion of the system and relate their covariance matrix to that for the canonical obs
Externí odkaz:
http://arxiv.org/abs/2105.13386
The Cavity Master Equation (CME) is a closure scheme to the usual Master Equation representing the dynamics of discrete variables in continuous time. In this work we explore the CME for a ferromagnetic model in a random graph. We first derive and ave
Externí odkaz:
http://arxiv.org/abs/2004.03674
Autor:
Hayes, D.S., Bruno, M.C., Alp, M., Boavida, I., Batalla, R.J., Bejarano, M.D., Noack, M., Vanzo, D., Casas-Mulet, R., Vericat, D., Carolli, M., Tonolla, D., Halleraker, J.H., Gosselin, M.-P., Chiogna, G., Zolezzi, G., Venus, T.E.
Publikováno v:
In Renewable and Sustainable Energy Reviews November 2023 187
Publikováno v:
Phys. Rev. Lett. 123, 230602 (2019)
We study local search algorithms to solve instances of the random $k$-satisfiabi lity problem, equivalent to finding (if they exist) zero-energy ground states of statistical models with disorder on random hypergraphs. It is well known that the best s
Externí odkaz:
http://arxiv.org/abs/1903.01510
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Eur. Phys. Lett. {\bf 107}, 57011 (2014)
Mean field-like approximations (including naive mean field, Bethe and Kikuchi and more general Cluster Variational Methods) are known to stabilize ordered phases at temperatures higher than the thermodynamical transition. For example, in the Edwards-
Externí odkaz:
http://arxiv.org/abs/1406.5373
The stoichiometry of metabolic networks usually gives rise to a family of conservation laws for the aggregate concentration of specific pools of metabolites, which not only constrain the dynamics of the network, but also provide key insight into a ce
Externí odkaz:
http://arxiv.org/abs/1309.2398
Publikováno v:
J. Stat. Mech. P12007 (2011)
We study the performance of different message passing algorithms in the two dimensional Edwards Anderson model. We show that the standard Belief Propagation (BP) algorithm converges only at high temperature to a paramagnetic solution. Then, we test a
Externí odkaz:
http://arxiv.org/abs/1110.1259