Statistical modeling of adaptive neural networks explains co-existence of avalanches and oscillations in resting human brain
F. Lombardi, S. Pepic, O. Shriki, G. Tkadik, D. De Martino, Nature Computational Science 3 (2023) 254–263.

Feedback-induced self-oscillations in large interacting systems subjected to phase transitions
D. De Martino, Journal of Physics A: Mathematical and Theoretical 52 (2019).

An introduction to the maximum entropy approach and its application to inference problems in biology
A. De Martino, D. De Martino, Heliyon 4 (2018).

Supporting materials "STATISTICAL MECHANICS FOR METABOLIC NETWORKS IN STEADY-STATE GROWTH"
D. De Martino, G. Tkadik, (2018).

Statistical mechanics for metabolic networks during steady state growth
D. De Martino, A.A. Mc, T. Bergmiller, C.C. Guet, G. Tkadik, Nature Communications 9 (2018).

Phase transitions in integer linear problems
S. Colabrese, D. De Martino, L. Leuzzi, E. Marinari,  Journal of Statistical Mechanics: Theory and Experiment 2017 (2017).

Maximum entropy modeling of metabolic networks by constraining growth-rate moments predicts coexistence of phenotypes
D. De Martino, Physical Review E 96 (2017).

Quantifying the entropic cost of cellular growth control
D. De Martino, F. Capuani, A. De Martino,  Physical Review E Statistical Nonlinear and Soft Matter Physics  96 (2017).

Scales and multimodal flux distributions in stationary metabolic network models via thermodynamics
D. De Martino,  Physical Review E Statistical Nonlinear and Soft Matter Physics  95 (2017) 062419.

Genome-scale estimate of the metabolic turnover of E. Coli from the energy balance analysis
D. De Martino, Physical Biology 13 (2016).

Growth against entropy in bacterial metabolism: the phenotypic trade-off behind empirical growth rate distributions in E. coli
D. De Martino, F. Capuani, A. De Martino, Physical Biology 13 (2016).

Asymptotic analysis of noisy fitness maximization, applied to metabolism &amp; growth
D. De Martino, D. Masoero,  Journal of Statistical Mechanics: Theory and Experiment 2016 (2016).

The dual of the space of interactions in neural network models
D. De Martino, International Journal of Modern Physics C 27 (2016).