160 citations · 169 across the 8 of their papers we have counts for
8 papers
Nonequilibrium Thermodynamics of Associative Memory Continuous-Time Recurrent Neural Networks
Miguel Aguilera, Daniele De Martino, Ivan Garashchuk +1
Continuous-Time Recurrent Neural Networks (CTRNNs) have been widely used for their capacity to model complex temporal behaviour. However, their internal dynamics often remain diffi…
Cross-feeding percolation phase transitions of inter-cellular metabolic networks
Luís C. F. Latoski, Andrea De Martino, Daniele De Martino
Intercellular exchange networks are essential for the adaptive capabilities of populations of cells. While diffusional exchanges have traditionally been difficult to map, recent ad…
The Essential Role of Thermodynamics in metabolic network modeling: physical insights and computational challenges
A. De Martino, D. De Martino, E. Marinari
Quantitative studies of cell metabolism are often based on large chemical reaction network models. A steady state approach is suited to analyze phenomena on the timescale of cell g…
On the origin of self-oscillations in large systems
Daniele De Martino
In this article is shown that large systems endowing phase coexistence display self-oscillations in presence of linear feedback between the control and order parameters, where an A…
A Van-Der-Waals picture for metabolic networks from MaxEnt modeling: inherent bistability and elusive coexistence
Daniele De Martino
In this work maximum entropy distributions in the space of steady states of metabolic networks are defined upon constraining the first and second moment of the growth rate. Inheren…
Computing fluxes and chemical potential distributions in biochemical networks: energy balance analysis of the human red blood cell
Daniele De Martino, Matteo Figliuzzi, Andrea De Martino +1
The analysis of non-equilibrium steady states of biochemical reaction networks relies on finding the configurations of fluxes and chemical potentials satisfying stoichiometric (mas…