12 Publications

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[12]
2019 | Journal Article | IST-REx-ID: 6049   OA
De Martino, D. (2019). Feedback-induced self-oscillations in large interacting systems subjected to phase transitions. Journal of Physics A: Mathematical and Theoretical, 52(4), 045002. https://doi.org/10.1088/1751-8121/aaf2dd
View | Files available | DOI
 
[11]
2018 | Research Data | IST-REx-ID: 5587   OA
De Martino, D., & Tkacik, G. (2018). Supporting materials “STATISTICAL MECHANICS FOR METABOLIC NETWORKS IN STEADY-STATE GROWTH.” IST Austria. https://doi.org/10.15479/AT:ISTA:62
View | Files available | DOI
 
[10]
2018 | Journal Article | IST-REx-ID: 306   OA
De Martino, A., & De Martino, D. (2018). An introduction to the maximum entropy approach and its application to inference problems in biology. Heliyon, 4(4). https://doi.org/10.1016/j.heliyon.2018.e00596
View | Files available | DOI
 
[9]
2018 | Journal Article | IST-REx-ID: 161
De Martino, D., Mc, A. A., Bergmiller, T., Guet, C. C., & Tkacik, G. (2018). Statistical mechanics for metabolic networks during steady state growth. Nature Communications, 9(1), 2988. https://doi.org/10.1038/s41467-018-05417-9
View | Files available | DOI
 
[8]
2017 | Journal Article | IST-REx-ID: 548   OA
De Martino, D. (2017). Maximum entropy modeling of metabolic networks by constraining growth-rate moments predicts coexistence of phenotypes. Physical Review E, 96(6). https://doi.org/10.1103/PhysRevE.96.060401
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[7]
2017 | Journal Article | IST-REx-ID: 947   OA
De Martino, D., Capuani, F., & De Martino, A. (2017). Quantifying the entropic cost of cellular growth control. Physical Review E Statistical Nonlinear and Soft Matter Physics , 96(1). https://doi.org/10.1103/PhysRevE.96.010401
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[6]
2017 | Journal Article | IST-REx-ID: 959   OA
De Martino, D. (2017). Scales and multimodal flux distributions in stationary metabolic network models via thermodynamics. Physical Review E Statistical Nonlinear and Soft Matter Physics , 95(6), 062419. https://doi.org/10.1103/PhysRevE.95.062419
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[5]
2017 | Journal Article | IST-REx-ID: 823   OA
Colabrese, S., De Martino, D., Leuzzi, L., & Marinari, E. (2017). Phase transitions in integer linear problems. Journal of Statistical Mechanics: Theory and Experiment, 2017(9). https://doi.org/10.1088/1742-5468/aa85c3
View | DOI | Download (ext.)
 
[4]
2016 | Journal Article | IST-REx-ID: 1394   OA
De Martino, D., Capuani, F., & De Martino, A. (2016). Growth against entropy in bacterial metabolism: the phenotypic trade-off behind empirical growth rate distributions in E. coli. Physical Biology, 13(3). https://doi.org/10.1088/1478-3975/13/3/036005
View | DOI | Download (ext.)
 
[3]
2016 | Journal Article | IST-REx-ID: 1485   OA
De Martino, D. (2016). Genome-scale estimate of the metabolic turnover of E. Coli from the energy balance analysis. Physical Biology, 13(1). https://doi.org/10.1088/1478-3975/13/1/016003
View | DOI | Download (ext.)
 
[2]
2016 | Journal Article | IST-REx-ID: 1188   OA
De Martino, D., & Masoero, D. (2016). Asymptotic analysis of noisy fitness maximization, applied to metabolism & growth. Journal of Statistical Mechanics: Theory and Experiment, 2016(12), 123502. https://doi.org/10.1088/1742-5468/aa4e8f
View | DOI | Download (ext.)
 
[1]
2016 | Journal Article | IST-REx-ID: 1260   OA
De Martino, D. (2016). The dual of the space of interactions in neural network models. International Journal of Modern Physics C, 27(6). https://doi.org/10.1142/S0129183116500674
View | DOI | Download (ext.)
 

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12 Publications

Mark all

[12]
2019 | Journal Article | IST-REx-ID: 6049   OA
De Martino, D. (2019). Feedback-induced self-oscillations in large interacting systems subjected to phase transitions. Journal of Physics A: Mathematical and Theoretical, 52(4), 045002. https://doi.org/10.1088/1751-8121/aaf2dd
View | Files available | DOI
 
[11]
2018 | Research Data | IST-REx-ID: 5587   OA
De Martino, D., & Tkacik, G. (2018). Supporting materials “STATISTICAL MECHANICS FOR METABOLIC NETWORKS IN STEADY-STATE GROWTH.” IST Austria. https://doi.org/10.15479/AT:ISTA:62
View | Files available | DOI
 
[10]
2018 | Journal Article | IST-REx-ID: 306   OA
De Martino, A., & De Martino, D. (2018). An introduction to the maximum entropy approach and its application to inference problems in biology. Heliyon, 4(4). https://doi.org/10.1016/j.heliyon.2018.e00596
View | Files available | DOI
 
[9]
2018 | Journal Article | IST-REx-ID: 161
De Martino, D., Mc, A. A., Bergmiller, T., Guet, C. C., & Tkacik, G. (2018). Statistical mechanics for metabolic networks during steady state growth. Nature Communications, 9(1), 2988. https://doi.org/10.1038/s41467-018-05417-9
View | Files available | DOI
 
[8]
2017 | Journal Article | IST-REx-ID: 548   OA
De Martino, D. (2017). Maximum entropy modeling of metabolic networks by constraining growth-rate moments predicts coexistence of phenotypes. Physical Review E, 96(6). https://doi.org/10.1103/PhysRevE.96.060401
View | DOI | Download (ext.)
 
[7]
2017 | Journal Article | IST-REx-ID: 947   OA
De Martino, D., Capuani, F., & De Martino, A. (2017). Quantifying the entropic cost of cellular growth control. Physical Review E Statistical Nonlinear and Soft Matter Physics , 96(1). https://doi.org/10.1103/PhysRevE.96.010401
View | DOI | Download (ext.)
 
[6]
2017 | Journal Article | IST-REx-ID: 959   OA
De Martino, D. (2017). Scales and multimodal flux distributions in stationary metabolic network models via thermodynamics. Physical Review E Statistical Nonlinear and Soft Matter Physics , 95(6), 062419. https://doi.org/10.1103/PhysRevE.95.062419
View | DOI | Download (ext.)
 
[5]
2017 | Journal Article | IST-REx-ID: 823   OA
Colabrese, S., De Martino, D., Leuzzi, L., & Marinari, E. (2017). Phase transitions in integer linear problems. Journal of Statistical Mechanics: Theory and Experiment, 2017(9). https://doi.org/10.1088/1742-5468/aa85c3
View | DOI | Download (ext.)
 
[4]
2016 | Journal Article | IST-REx-ID: 1394   OA
De Martino, D., Capuani, F., & De Martino, A. (2016). Growth against entropy in bacterial metabolism: the phenotypic trade-off behind empirical growth rate distributions in E. coli. Physical Biology, 13(3). https://doi.org/10.1088/1478-3975/13/3/036005
View | DOI | Download (ext.)
 
[3]
2016 | Journal Article | IST-REx-ID: 1485   OA
De Martino, D. (2016). Genome-scale estimate of the metabolic turnover of E. Coli from the energy balance analysis. Physical Biology, 13(1). https://doi.org/10.1088/1478-3975/13/1/016003
View | DOI | Download (ext.)
 
[2]
2016 | Journal Article | IST-REx-ID: 1188   OA
De Martino, D., & Masoero, D. (2016). Asymptotic analysis of noisy fitness maximization, applied to metabolism & growth. Journal of Statistical Mechanics: Theory and Experiment, 2016(12), 123502. https://doi.org/10.1088/1742-5468/aa4e8f
View | DOI | Download (ext.)
 
[1]
2016 | Journal Article | IST-REx-ID: 1260   OA
De Martino, D. (2016). The dual of the space of interactions in neural network models. International Journal of Modern Physics C, 27(6). https://doi.org/10.1142/S0129183116500674
View | DOI | Download (ext.)
 

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