Parents
Sign in to add mentor| Pierre Degond | grad student | 2009 | Toulouse 3 | |
| (Modélisation mathématique des déplacements d'animaux et dérivation de modèles macroscopiques) | ||||
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Publications
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| Cao F, Motsch S, Reamy A, et al. (2020) Asymptotic flocking for the three-zone model. Mathematical Biosciences and Engineering : Mbe. 17: 7692-7707 |
| Jamous S, Comba A, Lowenstein PR, et al. (2020) Self-organization in brain tumors: How cell morphology and cell density influence glioma pattern formation. Plos Computational Biology. 16: e1007611 |
| Weber D, Motsch S, Li G. (2020) Bounded confidence dynamics and graph control: enforcing consensus Networks and Heterogeneous Media. 15: 489-517 |
| Jamous S, Comba A, Lowenstein PR, et al. (2020) Explicit expression of the model and definition of nematic average. Plos Computational Biology |
| Poissonnier LA, Motsch S, Gautrais J, et al. (2019) Experimental investigation of ant traffic under crowded conditions. Elife. 8 |
| Comba A, J Dunn P, E Argento A, et al. (2019) TMIC-58. THE CELLULAR AND MOLECULAR BASIS FOR MESENCHYMAL TRANSFORMATION IN GLIOMAS Neuro-Oncology. 21: vi260-vi260 |
| Weber D, Theisen R, Motsch S. (2019) Deterministic Versus Stochastic Consensus Dynamics on Graphs Journal of Statistical Physics. 176: 40-68 |
| Motsch S, Moussaïd M, Guillot EG, et al. (2018) Modeling crowd dynamics through coarse-grained data analysis. Mathematical Biosciences and Engineering : Mbe. 15: 1271-1290 |
| Comba A, B Zamler D, Dunn P, et al. (2018) CSIG-08. DYNAMICS OF GLIOMA GROWTH: SELF-ORGANIZATION GUIDES THE PATTERNING OF THE EXTRACELLULAR MATRIX AND REGULATES TUMOR PROGRESSION Neuro-Oncology. 20: vi44-vi44 |
| Motsch S, Peurichard D. (2017) From short-range repulsion to Hele-Shaw problem in a model of tumor growth. Journal of Mathematical Biology |