Parties d'ouvrages collectifs (2)
  1. 1. Barroo, C., Visart de Bocarmé, T., De Decker, Y., & Kruse, N. (2018). Surface Reactions Investigated at the Nanoscale by Field Emission Techniques: Nonlinear Dynamics of the Catalytic Hydrogenation of NO and NO2 Over Platinum Crystallites. In Encyclopedia of Interfacial Chemistry: Surface Science and Electrochemistry (1 ed., pp. 251-260). Elsevier.
  2. 2. De Decker, Y., Bullara, D., Barroo, C., & Visart de Bocarmé, T. (2015). Nonlinear Dynamics of Reactive Nanosystems: Theory and Experiments. In S. C. Müller & J. Parisi (Eds.), Bottom-Up Self-Organization in Supramolecular Soft Matter: Principles and Prototypical Examples of Recent Advances (pp. 127-150). Switzerland: Springer International Publishing AG.(Springer Series in Materials Science, 217). doi:10.1007/978-3-319-19410-3_6
    3.   Articles dans des revues avec comité de lecture (54)
  3. 1. Prista Santos Von Bonhorst Silva, F., Gandrillon, O., Herbach, U., Robert, C., Chazaud, C., De Decker, Y., Gonze, D., & Dupont, G. (2025). Uncovering candidate Nanog-Helper genes in early mouse embryo differentiation using differential entropy and network inference. Scientific Reports, 15, 19975.
  4. 2. Robert, C., Prista Santos Von Bonhorst Silva, F., Dupont, G., Gonze, D., & De Decker, Y. (2025). Role of tristability in the robustness of the differentiation mechanism. PloS one, 20, e0316666.
  5. 3. Gillet, J., Geerts, Y., Rongy, L., & De Decker, Y. (2024). Differences in enantiomeric diffusion can lead to selective chiral amplification. Proceedings of the National Academy of Sciences of the United States of America, 121(17), e2319770121. doi:10.1073/pnas.2319770121
  6. 4. Gillet, J., Rongy, L., & De Decker, Y. (2022). Spontaneous Mirror Symmetry Breaking in reaction-diffusion systems: Ambivalent role of the achiral precursor. PCCP. Physical chemistry chemical physics, 24, 26144. doi:10.1039/D2CP03102G
  7. 5. Robert, C., Prista von Bonhorst, F., De Decker, Y., Dupont, G., & Gonze, D. (2022). Initial source of heterogeneity in a model for cell fate decision in the early mammalian embryo. Interface Focus, 12, 20220010. doi:10.1098/rsfs.2022.0010
  8. 6. De Decker, Y., & Nicolis, G. (2020). On the Fokker–Planck approach to the stochastic thermodynamics of reactive systems. Physica. A., 124269. doi:10.1016/j.physa.2020.124269
  9. 7. Grau Ribes, A., De Decker, Y., & Rongy, L. (2019). Connecting gene expression to cellular movement: A transport model for cell migration. Physical Review E, 100(3), 032412. doi:10.1103/PhysRevE.100.032412
  10. 8. De Decker, Y., Raghamy, A., & Imbihl, R. (2019). Modeling the Formation and Propagation of VO x Islands on Rh(111) under Reactive Conditions. The Journal of Physical Chemistry Part C: Nanomaterials and Interfaces, 123(18), 11602-11610. doi:10.1021/acs.jpcc.9b00427
  11. 9. Derivaux, J.-F., & De Decker, Y. (2019). Stochastic efficiency of thermodiffusion: An extended local equilibrium approach. Journal of Statistical Mechanics: Theory and Experiment, 2019(3), 034002. doi:10.1088/1742-5468/ab1c50
  12. 10. De Decker, Y. (2019). Stochastic thermodynamics based on an Einstein-Boltzmann definition of fluctuating entropy. Physical Review E, 99(3), 032143. doi:10.1103/PhysRevE.99.032143
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