Xiaoying Han, Ph.D.
Affiliations: | 2007 | Mathematics | State University of New York, Buffalo, Buffalo, NY, United States |
Area:
MathematicsGoogle:
"Xiaoying Han"Parents
Sign in to add mentor| Brian Spencer | grad student | 2007 | SUNY Buffalo | |
| (Interlayer mixing in thin film growth.) | ||||
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Publications
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| Han X, Kloden PE, Usman B. (2020) Upper semi-continuous convergence of attractors for a Hopfield-type lattice model Nonlinearity. 33: 1881-1906 |
| Sun W, Caraballo T, Han X, et al. (2020) A free boundary tumor model with time dependent nutritional supply Nonlinear Analysis-Real World Applications. 53: 103063 |
| Sui M, Wang Y, Han X, et al. (2020) Random recurrent neural networks with delays Journal of Differential Equations. 269: 8597-8639 |
| Han X, Kloeden PE. (2020) Sigmoidal approximations of Heaviside functions in neural lattice models Journal of Differential Equations. 268: 5283-5300 |
| Wang P, Cao Y, Han X, et al. (2020) Mean-square convergence of numerical methods for random ordinary differential equations Numerical Algorithms. 1-35 |
| Han X, Kloeden PE, Sonner S. (2020) Discretisation of Global Attractors for Lattice Dynamical Systems Journal of Dynamics and Differential Equations. 32: 1457-1474 |
| Han X, Valorani M, Najm HN. (2019) Explicit time integration of the stiff chemical Langevin equations using computational singular perturbation. The Journal of Chemical Physics. 150: 194101 |
| Han X, Kloeden PE, Usman B. (2019) Long term behavior of a random Hopfield neural lattice model Communications On Pure and Applied Analysis. 18: 809-824 |
| Han X, Kloeden PE. (2019) Asymptotic behavior of a neural field lattice model with a Heaviside operator Physica D: Nonlinear Phenomena. 389: 1-12 |
| Bessaih H, Garrido-Atienza MJ, Han X, et al. (2017) Stochastic Lattice Dynamical Systems with Fractional Noise Siam Journal On Mathematical Analysis. 49: 1495-1518 |