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- Taylor Jamie Michael
BIO
Jamie Taylor’s research interests lie in the field of Applied Analysis, within a diverse range of research topics, and he works with an international network of interdisciplinary collaborators. These research topics have included the statistical mechanics of liquid crystalline phases, solid-solid phase transitions, homogenisation via asymptotic analysis and, more recently, deep-learning techniques for numerically solving partial differential equations.Education
PhD in Mathematics, University of Oxford (2016)
MMath, Cardiff University (2012)
Research Interests
Applications of mathematical analysis to models from materials science and inverse problems using machine-learning techniques.
Career
Postdoctoral Fellow, Basque Center for Applied Mathematics, September 2018–August 2022
Postdoctoral Research Scholar, Kent State University, March 2017–August 2018
Postdoctoral Research Assistant, October 2016–January 2018; Research Leave granted March 2017–July 2017
Publications in Scientific Journals
Ceuca, Razvan-Dumitru; Taylor, Jamie M.; Zarnescu, Arghir: “Effective surface energies in nematic liquid crystals as homogenised rugosity effects”, Communications in Contemporary Mathematics, 2250020, 2022.
Rivera, Jon A.; Taylor, Jamie M.; Omella, Ángel J.; Pardo, David: “On quadrature rules for solving Partial Differential Equations using Neural Networks”, Computer Methods in Applied Mechanics and Engineering, 393, Art. 114710, 2022.
Canevari, Giocomo; Taylor, Jamie M.: “Holder regularity and convergence for a non-local model of nematic liquid crystals in the large-domain limit”, Nonlinear Analysis, Theory, Methods and Applications, 215, Art. 112641, 2022.
Taylor, Jamie M.; Fai, Thomas; Virga, Epifanio G.; Zheng, Xiaoyu; Palffy-Muhoray, Peter: “Cavity volume and free energy in hard particle systems”, Journal of Nonlinear Science, 31(5), 87,2021
Della Porta, Francesco; Ruland, Angkana; Taylor, Jamie M.; Zillinger, Christian: “On a probabilistic model for martensitic avalanches incorporating mechanical compatibility”, Nonlinearity, 34(7), 4844-4896, 2021.