phase transition

Marsland, R., Cui, W., Goldford, J., Sanchez, A., Korolev, K., & Mehta, P. (2019). Available energy fluxes drive a transition in the diversity, stability, and functional structure of microbial communities. PLOS Computational Biology, __15__(2), e1006793. https://doi.org/10.1371/journal.pcbi.1006793

Barbier, J., Krzakala, F., Macris, N., Miolane, L., & Zdeborová, L. (2019). Optimal errors and phase transitions in high-dimensional generalized linear models. Proceedings of the National Academy of Sciences, __116__(12), 5451–5460. https://doi.org/10.1073/pnas.1802705116

Van Nieuwenburg, E., Bairey, E., & Refael, G. (2018). Learning phase transitions from dynamics. Physical Review B, 98. https://doi.org/10.1103/PhysRevB.98.060301

Lin, J., Min, J., & Amir, A. (2018). Optimal segregation of proteins: phase transitions and symmetry breaking. Retrieved from https://arxiv.org/pdf/1804.09195.pdf

Hu, W., Singh, R. R. P., & Scalettar, R. T. (2017). Discovering phases, phase transitions, and crossovers through unsupervised machine learning: A critical examination. Physical Review E, __95__(6), 062122. https://doi.org/10.1103/PhysRevE.95.062122

Skanata, A., & Kussell, E. (2016). Evolutionary Phase Transitions in Random Environments. Physical Review Letters, __117__(3), 038104. https://doi.org/10.1103/PhysRevLett.117.038104

Davis, S., Peralta, J., Navarrete, Y., González, D., & Gutiérrez, G. (2016). A Bayesian Interpretation of First-Order Phase Transitions. Foundations of Physics, __46__(3), 350–359. https://doi.org/10.1007/s10701-015-9967-5

Buceta, J., & Weber, M. (2016). The cellular Ising model: a framework for phase transitions in multicellular environments. https://doi.org/10.1098/rsif.2015.1092

Zdeborová, L., & Krzakala, F. (2016). Statistical physics of inference: thresholds and algorithms. Advances in Physics, __65__(5), 453–552. https://doi.org/10.1080/00018732.2016.1211393

Park, S.-C., Szendro, I. G., Neidhart, J., & Krug, J. (2015). Phase transition in random adaptive walks on correlated fitness landscapes. Physical Review E, __91__(4). https://doi.org/10.1103/PhysRevE.91.042707

Majumdar, S. N., & Schehr, G. (2014). Top eigenvalue of a random matrix: large deviations and third order phase transition. Journal of Statistical Mechanics: Theory and Experiment, __2014__(1), P01012. https://doi.org/10.1088/1742-5468/2014/01/P01012

Zeraati, S., Jafarpour, F. H., & Hinrichsen, H. (2013). Phase transition in an exactly solvable reaction-diffusion process. Physical Review E, __87__(6), 062120. https://doi.org/10.1103/PhysRevE.87.062120

Vaikuntanathan, S., Gingrich, T. R., & Geissler, P. L. (2013). Dynamic phase transitions in simple driven kinetic networks, (1), 1–5. Statistical Mechanics. https://doi.org/10.1103/PhysRevE.89.062108

Cabana, T., & Touboul, J. (2013). Large Deviations, Dynamics and Phase Transitions in Large Stochastic and Disordered Neural Networks. Journal of Statistical Physics, __153__(2), 211–269. https://doi.org/10.1007/s10955-013-0818-5

Wang, X. (2012). Physical Examples of Phase Transition in One-Dimensional Systems with Short Range interaction, 1–11.

Smith, E., Krishnamurthy, S., Fontana, W., & Krakauer, D. (2011). Non-equilibrium phase transitions in biomolecular signal transduction, (1), 1–23. Retrieved from http://arxiv.org/abs/1108.4121

Davies, P. C., Demetrius, L., & Tuszynski, J. A. (2011). Cancer as a dynamical phase transition. Theoretical Biology and Medical Modelling, __8__(1), 30. https://doi.org/10.1186/1742-4682-8-30

Ge, H., & Qian, H. (2011). Non-equilibrium phase transition in mesoscopic biochemical systems: from stochastic to nonlinear dynamics and beyond. Journal of the Royal Society, Interface / the Royal Society, __8__(54), 107–116. https://doi.org/10.1098/rsif.2010.0202

Krzakala, F., Mézard, M., Sausset, F., Sun, Y., & Zdeborová, L. (2011). Statistical physics-based reconstruction in compressed sensing. ArXiv, 16. Retrieved from http://www.pct.espci.fr/~florent/ASPICS/ASPICS.html

Sen, S. (2010). Symmetry, Symmetry Breaking and Topology. Symmetry, __2__(3), 1401–1422. https://doi.org/10.3390/sym2031401

Zanardi, P., Giorda, P., & Cozzini, M. (2007). Information-Theoretic Differential Geometry of Quantum Phase Transitions. Physical Review Letters, __99__(10), 100603. https://doi.org/10.1103/PhysRevLett.99.100603

Krzakala, F., & Zdeborová, L. (2007). Phase Transitions and Computational Difficulty in Random Constraint Satisfaction Problems. Journal of Physics: Conference Series, __95__(1), 10. https://doi.org/10.1088/1742-6596/95/1/012012

Mobilia, M., Georgiev, I. T., & Täuber, U. C. (2007). Phase Transitions and Spatio-Temporal Fluctuations in Stochastic Lattice Lotka–Volterra Models. Journal of Statistical Physics, __128__(1–2), 447–483. https://doi.org/10.1007/s10955-006-9146-3

Baik, J., Ben Arous, G., & Péché, S. (2005). Phase transition of the largest eigenvalue for nonnull complex sample covariance matrices. The Annals of Probability, __33__(5), 1643–1697. https://doi.org/10.1214/009117905000000233

Janke, W., Johnston, D. a., & Kenna, R. (2004). Information geometry and phase transitions. In Physica A: Statistical Mechanics and its Applications (Vol. 336, pp. 181–186). https://doi.org/10.1016/j.physa.2004.01.023

LÜBECK, S. (2004). UNIVERSAL SCALING BEHAVIOR OF NON-EQUILIBRIUM PHASE TRANSITIONS. International Journal of Modern Physics B, __18__(31n32), 3977–4118. https://doi.org/10.1142/S0217979204027748

Huepe, C., & Aldana-gonzález, M. (2002). Dynamical Phase Transition in a Neural Network Model with Noise : An Exact Solution. Journal of Statistical Physics, __108__(3–4), 527–540. https://doi.org/10.1023/A:1015777824097

Ferreira, C., & Fontanari, J. (2002). Nonequilibrium phase transitions in a model for the origin of life. Physical Review E, __65__(2), 021902. https://doi.org/10.1103/PhysRevE.65.021902

Hinrichsen, H. (2000). Nonequilibrium Critical Phenomena and Phase Transitions into Absorbing States, 153. Statistical Mechanics. Retrieved from http://arxiv.org/abs/cond-mat/0001070

Luque, B., & Solé, R. V. (1997). Phase transitions in random networks: Simple analytic determination of critical points. Physical Review E, __55__(1), 257–260. https://doi.org/10.1103/PhysRevE.55.257

Gross, D., & Witten, E. (1980). Possible third-order phase transition in the large-N lattice gauge theory. Physical Review D, __21__(2), 446–453. https://doi.org/10.1103/PhysRevD.21.446

Zilber, P., Smith, N. R., & Meerson, B. (n.d.). A giant disparity and a dynamical phase transition in large deviations of the time-averaged size of stochastic populations. Retrieved from https://arxiv.org/pdf/1901.09384.pdf

Mathis, C., Bhattacharya, T., & Walker, S. I. (n.d.). The Emergence of Life as a First-Order Phase Transition. https://doi.org/10.1089/ast.2016.1481

Kitagawa, T. (n.d.). The idea of Morse Theory.