- V. Campo, S. Motsch, D. Weber, Doppelgänger Model: Emergence of polarization in opinion dynamics, 2025, submitted (PDF). - F. Cao, K. Johnston, T. Laurent, J. Le, S. Motsch, Generative diffusion models from a PDE perspective, 2025, submitted (PDF). - F. Cao, S. Motsch, Sticky dispersion on the complete graph: a kinetic approach, 2024, submitted (PDF). - F. Cao, S. Motsch, Uncovering a Two-Phase Dynamics from a Dollar Exchange Model with Bank and Debt, 2023, SIAM J. Applied Math. (PDF). - K. Wood, A. Comba, S. Motsch, T. Grigera, P. Lowenstein, Scale-free correlations and potential criticality in weakly ordered populations of brain cancer cells, 2023, Science Advances (PDF). - F. Cao, S. Motsch, Derivation of wealth distributions from biased exchange of money, 2023, Kinetic and Related Models (KRM) (preprint). - F. Cao, P-E Jabin, S. Motsch, Entropy Dissipation and Propagation of Chaos for the Uniform Reshuffling Model, 2023, Math. Models Methods Appl. Sci. (M3AS) (preprint). - Comba, A., Faisal, S.M., Dunn, P.J. et al., Spatiotemporal analysis of glioma heterogeneity reveals COL1A1 as an actionable target to disrupt tumor progression, 2022, Nature Communications (PDF). - A. Comba, S. Faisal, M. Varela, T. Hollon, W. Al-Holou, Y. Umemura, F. Nunez, S. Motsch, M. Castro, P. Lowenstein, Uncovering spatiotemporal heterogeneity of high-grade gliomas: from disease biology to therapeutic implications, 2021, Frontiers in oncology (PDF). - F. Cao, S. Motsch, A. Reamy, R. Theisen, Asymptotic flocking for the three-zone model, 2020, Mathematical Biosciences and Engineering (PDF). - G. Li, S. Motsch, D. Weber, Bounded confidence dynamics and graph control: Enforcing consensus, 2020, Networks & Heterogeneous Media (PDF). - S. Jamous, A. Comba, P. Lowenstein, S. Motsch, Self-organization in brain tumors: How cell morphology and cell density influence glioma pattern formation, 2020, PLoS Comp. Bio. (PDF). - L.A. Poissonnier, S. Motsch, J. Gautrais, J. Buhl, A. Dussutour, Still flowing, ant traffic under crowded conditions, 2019, eLife (PDF). - S. Motsch, Q. Griette, Kinetic equations and self-organized band formations, 2019, Springer, Active Particles, Volume 2 (PDF). - D. Weber, R. Theisen, S. Motsch, Deterministic versus stochastic consensus dynamics on graphs, 2019, J. Stat. Phys. (PDF). - S. Motsch, M. Moussaid, E. Guillot, M. Moreau, J. Pettré, G. Théraulaz, C. Appert-Rolland, P. Degond, Modeling crowd dynamics through coarse-grained data analysis, 2018, Math. Bio. Engineering (PDF).o - S. Motsch, D. Peurichard, From short-range repulsion to Hele-Shaw problem in a model of tumor growth, 2017, J. Math. Biol. (preprint, PDF). - P. Degond, M. Ferreira, S. Motsch, Damped Arrow-Hurwicz algorithm for sphere packing, 2017, J. Comput. Phys. (PDF). - D. Armbruster, S. Motsch, A. Thatcher, Swarming in Bounded Domains, 2017, Physica D. (PDF) - G. Dimarco, S. Motsch, Self-alignment driven by jump processes: macroscopic limit and numerical investigation, 2016, Math. Models Methods Appl. Sci. (M3AS) (Preprint, PDF). - J. Haack, I. Gamba, S. Motsch, Spectral method for a kinetic swarming model, 2015, J. Comput. Phys., 297:32-46, (Preprint, PDF). - G. Baker, V. Yadav, S. Motsch, C. Koschmann, A. Calinescu, Y. Mineharu, S. Camelo-Piragua, D. Orringer, S. Bannykh, W. Nichols, A. deCarvalho, T. Mikkelsen, M. Castro, P. Lowenstein, Mechanisms of Glioma Formation: Iterative Perivascular Glioma Growth and Invasion Leads to Tumor Progression, VEGF-Independent Vascularization, and Resistance to Antiangiogenic Therapy, 2014, Neoplasia, 16(7):543-561 (PDF). - P-E. Jabin, S. Motsch, Clustering and asymptotic behavior in opinion formation, 2014, J. Diffential Equations, 257(11):4165–4187 (Preprint, PDF). - S. Motsch, E. Tadmor, Heterophilious dynamics enhances consensus, 2014, SIAM review, 56(4):577–621 (arXiv, PDF). - P. Degond, J.G. Liu, S. Motsch, V. Panferov, Hydrodynamic models of self-organized dynamics: derivation and existence theory, 2013, Methods Appl. Anal., 20(2):89–114 (arXiv, PDF). - E. Boissard, P. Degond, S. Motsch, Trail formation based on directed pheromone deposition, 2013, J. Math. Biol., 66(6):1267-1301 (arXiv, PDF). - P. Degond, A. Frouvelle, J-G. Liu, S. Motsch, L. Navoret, Macroscopic models of collective motion and self-organization, 2012, Séminaire Laurent Schwartz – EDP et applications, exposé n°1 (arXiv, PDF). - S. Motsch, L. Navoret, Numerical simulations of a non-conservative hyperbolic system with geometric constraints describing swarming behavior, 2011, Multiscale Model. Simul., 9(3):1253-1275 (Preprint, PDF). - S. Motsch, E. Tadmor, A new model for self-organized dynamics and its flocking behavior, J. Stat. Phys., 144(5):923-947, 2011 (Preprint, PDF). - C. Appert-Rolland, P. Degond, S. Motsch, Two-way multi-lane traffic model for pedestrians in corridors, Netw. Heterog. Media, 6(3):351-381, 2011 (Preprint, PDF). - P. Degond, S. Motsch, A macroscopic model for a system of swarming agents using curvature control, J. Stat. Phys. Springer, 141(4):685-714, 2011 (Preprint, PDF). - P. Cattiaux, D. Chafai, S. Motsch, Asymptotic analysis and diffusion limit of the Persistent Turning Walker Model, Asymptot. Anal., 67(1-2):17-31, 2010 (Preprint, PDF). - J. Gautrais, C. Jost, M. Soria, A. Campo, S. Motsch, R. Fournier, S. Blanco, G. Theraulaz, Analyzing fish movement as a persistent turning walker, J. Math. Biol., 58(3):429-445, 2009 (PDF). - M. Herty, A. Klar, S. Motsch, F. Olawsky, A smooth model for fiber lay-down processes and its diffusion approximations, Kinet. Relat. Models, 2(3): 489-502, 2009 (Preprint, PDF). - G. Bal, J. Garnier, S. Motsch, V. Perrier, Random integrals and correctors in homogenization, Asymptot. Anal., 58(1-2):1-26, 2008 (Preprint, PDF). - P. Degond, S. Motsch, Continuum limit of self-driven particles with orientation interaction, Math. Models Methods Appl. Sci. (M3AS), 18(1):1193-1215, 2008 (Preprint, PDF). - P. Degond, S. Motsch, Large-scale dynamics of the Persistent Turning Walker model of fish behavior, J. Stat. Phys., 131(6):989-1021, 2007 (Preprint, PDF).