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).

The Essential Role of Thermodynamics in Metabolic Network Modeling: Physical Insights and Computational Challenges
A. De Martino, D. De Martino, E. Marinari, in:, Chemical Kinetics, World Scientific Publishing, 2019, pp. 455–471.

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).

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

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

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).

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

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

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).

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