Publications and preprints
Nicola Vassena, Florin Avram, Rim Adenane
Finding bifurcations in mathematical epidemiology via reaction network methods
Preprint (2024)Nicola Vassena and Peter F. Stadler
Unstable Cores are the source of instability in Chemical Reaction Networks
Proceedings of the Royal Society A, 480, 20230694. https://doi.org/10.1098/rspa.2023.0694 (2024)
PreprintNicola Vassena
Mass action systems: two criteria for Hopf bifurcation without Hurwitz
Preprint (2024)Alejandro López-Nieto, Phillipo Lappicy, Nicola Vassena, Hannes Stuke, Jia-Yuan Dai
Hybrid Bifurcations and Stable Periodic Coexistence for Competing Predators
Preprint (2023)Nicola Vassena
Structural obstruction to the simplicity of the eigenvalue zero in chemical reaction networks
Mathematical Methods in the Applied Sciences: 47, 4. https://doi.org/10.1002/mma.9790 (2023)Nicola Vassena
Symbolic hunt of instabilities and bifurcations in reaction networks
Discrete and Continuous Dynamical Systems - B, doi: 10.3934/dcdsb.2023190 (2023)Nicola Vassena
Structural Conditions for Saddle-node Bifurcations in Chemical Reaction Networks
SIAM Journal on Applied Dynamical Systems, 22: 1639-1672. doi: 10.1137/22M1527933 (2023)
PreprintNicola Vassena
Sign-sensitivity of metabolic networks: which structures determine the sign of the responses
International Journal of Robust and Nonlinear Control, doi: 10.1002/rnc.5896 (2021)
PreprintNicola Vassena
Sensitivity of metabolic networks: perturbing metabolite concentrations
Preprint (2020)Nicola Vassena
Good and bad children in metabolic networks
Mathematical Biosciences and Engineering, 17(6): 7621-7644. doi: 10.3934/mbe.2020388 (2020)
PreprintNicola Vassena
Sensitivity of metabolic networks
Ph.D. Thesis, Freie Universität Berlin (2020)Nicola Vassena
Sensitivity of monomolecular reaction networks: signed flux-response to reaction rate perturbations ECCTD 2017 Proceedings IEEE doi: 10.1109/ECCTD.2017.8093332 (2017)Nicola Vassena and Hiroshi Matano
Monomolecular reaction networks: flux-influenced sets and balloons
Mathematical Methods in the Applied Sciences: 40, 18. doi: 10.1002/mma.4557 (2017)