12 Publications

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[12]
2019 | Journal Article | IST-REx-ID: 6049   OA
De Martino, Daniele. “Feedback-Induced Self-Oscillations in Large Interacting Systems Subjected to Phase Transitions.” Journal of Physics A: Mathematical and Theoretical 52, no. 4 (2019): 045002. https://doi.org/10.1088/1751-8121/aaf2dd.
View | Files available | DOI
 
[11]
2018 | Research Data | IST-REx-ID: 5587   OA
De Martino, Daniele, and Gasper Tkacik. Supporting Materials “STATISTICAL MECHANICS FOR METABOLIC NETWORKS IN STEADY-STATE GROWTH.” IST Austria, 2018. https://doi.org/10.15479/AT:ISTA:62.
View | Files available | DOI
 
[10]
2018 | Journal Article | IST-REx-ID: 306   OA
De Martino, Andrea, and Daniele De Martino. “An Introduction to the Maximum Entropy Approach and Its Application to Inference Problems in Biology.” Heliyon 4, no. 4 (2018). https://doi.org/10.1016/j.heliyon.2018.e00596.
View | Files available | DOI
 
[9]
2018 | Journal Article | IST-REx-ID: 161
De Martino, Daniele, Andersson Anna Mc, Tobias Bergmiller, Calin C Guet, and Gasper Tkacik. “Statistical Mechanics for Metabolic Networks during Steady State Growth.” Nature Communications 9, no. 1 (2018): 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, Daniele. “Maximum Entropy Modeling of Metabolic Networks by Constraining Growth-Rate Moments Predicts Coexistence of Phenotypes.” Physical Review E 96, no. 6 (2017). https://doi.org/10.1103/PhysRevE.96.060401.
View | DOI | Download (ext.)
 
[7]
2017 | Journal Article | IST-REx-ID: 947   OA
De Martino, Daniele, Fabrizio Capuani, and Andrea De Martino. “Quantifying the Entropic Cost of Cellular Growth Control.” Physical Review E Statistical Nonlinear and Soft Matter Physics 96, no. 1 (2017). https://doi.org/10.1103/PhysRevE.96.010401.
View | DOI | Download (ext.)
 
[6]
2017 | Journal Article | IST-REx-ID: 959   OA
De Martino, Daniele. “Scales and Multimodal Flux Distributions in Stationary Metabolic Network Models via Thermodynamics.” Physical Review E Statistical Nonlinear and Soft Matter Physics 95, no. 6 (2017): 062419. https://doi.org/10.1103/PhysRevE.95.062419.
View | DOI | Download (ext.)
 
[5]
2017 | Journal Article | IST-REx-ID: 823   OA
Colabrese, Simona, Daniele De Martino, Luca Leuzzi, and Enzo Marinari. “Phase Transitions in Integer Linear Problems.” Journal of Statistical Mechanics: Theory and Experiment 2017, no. 9 (2017). https://doi.org/10.1088/1742-5468/aa85c3.
View | DOI | Download (ext.)
 
[4]
2016 | Journal Article | IST-REx-ID: 1394   OA
De Martino, Daniele, Fabrizio Capuani, and Andrea De Martino. “Growth against Entropy in Bacterial Metabolism: The Phenotypic Trade-off behind Empirical Growth Rate Distributions in E. Coli.” Physical Biology 13, no. 3 (2016). 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, Daniele. “Genome-Scale Estimate of the Metabolic Turnover of E. Coli from the Energy Balance Analysis.” Physical Biology 13, no. 1 (2016). 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, Daniele, and Davide Masoero. “Asymptotic Analysis of Noisy Fitness Maximization, Applied to Metabolism & Growth.” Journal of Statistical Mechanics: Theory and Experiment 2016, no. 12 (2016): 123502. https://doi.org/10.1088/1742-5468/aa4e8f.
View | DOI | Download (ext.)
 
[1]
2016 | Journal Article | IST-REx-ID: 1260   OA
De Martino, Daniele. “The Dual of the Space of Interactions in Neural Network Models.” International Journal of Modern Physics C 27, no. 6 (2016). 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, Daniele. “Feedback-Induced Self-Oscillations in Large Interacting Systems Subjected to Phase Transitions.” Journal of Physics A: Mathematical and Theoretical 52, no. 4 (2019): 045002. https://doi.org/10.1088/1751-8121/aaf2dd.
View | Files available | DOI
 
[11]
2018 | Research Data | IST-REx-ID: 5587   OA
De Martino, Daniele, and Gasper Tkacik. Supporting Materials “STATISTICAL MECHANICS FOR METABOLIC NETWORKS IN STEADY-STATE GROWTH.” IST Austria, 2018. https://doi.org/10.15479/AT:ISTA:62.
View | Files available | DOI
 
[10]
2018 | Journal Article | IST-REx-ID: 306   OA
De Martino, Andrea, and Daniele De Martino. “An Introduction to the Maximum Entropy Approach and Its Application to Inference Problems in Biology.” Heliyon 4, no. 4 (2018). https://doi.org/10.1016/j.heliyon.2018.e00596.
View | Files available | DOI
 
[9]
2018 | Journal Article | IST-REx-ID: 161
De Martino, Daniele, Andersson Anna Mc, Tobias Bergmiller, Calin C Guet, and Gasper Tkacik. “Statistical Mechanics for Metabolic Networks during Steady State Growth.” Nature Communications 9, no. 1 (2018): 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, Daniele. “Maximum Entropy Modeling of Metabolic Networks by Constraining Growth-Rate Moments Predicts Coexistence of Phenotypes.” Physical Review E 96, no. 6 (2017). https://doi.org/10.1103/PhysRevE.96.060401.
View | DOI | Download (ext.)
 
[7]
2017 | Journal Article | IST-REx-ID: 947   OA
De Martino, Daniele, Fabrizio Capuani, and Andrea De Martino. “Quantifying the Entropic Cost of Cellular Growth Control.” Physical Review E Statistical Nonlinear and Soft Matter Physics 96, no. 1 (2017). https://doi.org/10.1103/PhysRevE.96.010401.
View | DOI | Download (ext.)
 
[6]
2017 | Journal Article | IST-REx-ID: 959   OA
De Martino, Daniele. “Scales and Multimodal Flux Distributions in Stationary Metabolic Network Models via Thermodynamics.” Physical Review E Statistical Nonlinear and Soft Matter Physics 95, no. 6 (2017): 062419. https://doi.org/10.1103/PhysRevE.95.062419.
View | DOI | Download (ext.)
 
[5]
2017 | Journal Article | IST-REx-ID: 823   OA
Colabrese, Simona, Daniele De Martino, Luca Leuzzi, and Enzo Marinari. “Phase Transitions in Integer Linear Problems.” Journal of Statistical Mechanics: Theory and Experiment 2017, no. 9 (2017). https://doi.org/10.1088/1742-5468/aa85c3.
View | DOI | Download (ext.)
 
[4]
2016 | Journal Article | IST-REx-ID: 1394   OA
De Martino, Daniele, Fabrizio Capuani, and Andrea De Martino. “Growth against Entropy in Bacterial Metabolism: The Phenotypic Trade-off behind Empirical Growth Rate Distributions in E. Coli.” Physical Biology 13, no. 3 (2016). 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, Daniele. “Genome-Scale Estimate of the Metabolic Turnover of E. Coli from the Energy Balance Analysis.” Physical Biology 13, no. 1 (2016). 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, Daniele, and Davide Masoero. “Asymptotic Analysis of Noisy Fitness Maximization, Applied to Metabolism & Growth.” Journal of Statistical Mechanics: Theory and Experiment 2016, no. 12 (2016): 123502. https://doi.org/10.1088/1742-5468/aa4e8f.
View | DOI | Download (ext.)
 
[1]
2016 | Journal Article | IST-REx-ID: 1260   OA
De Martino, Daniele. “The Dual of the Space of Interactions in Neural Network Models.” International Journal of Modern Physics C 27, no. 6 (2016). https://doi.org/10.1142/S0129183116500674.
View | DOI | Download (ext.)
 

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Citation Style: Chicago

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