Research Topic:

Algorithmic differentiation for high-performance scientific computing

Supervisor:

Prof. Dr. Nicolas Gauger (RPTU), Prof.Andrea Walther (HUB)

Thesis Abstract:

My PhD explores algorithmic differentiation and related methods for large-scale scientific computing. I am interested in how derivative information can be computed and used efficiently in high-performance computing applications, particularly for complex numerical simulations. The specific research direction and application areas are currently being developed as the project progresses.

Publications:

•P. J. Walker, H. W. Yew, and A. Riedemann. “Clapeyron.jl: An extensible, open-source fluidthermodynamics toolkit”. In: Industrial & Engineering Chemistry Research 61 (2022), pp. 71307153. doi: 10.1021/acs.iecr. 2c00326.

•P. K. Inguva et al. “Continuum-scale modelling of polymer blends using the Cahn–Hilliard equation: transport and thermodynamics”. In: Soft Matter 17 (2021), pp. 5645–5665. doi: 10.1039/D1SM00272D.

Awards:

•Macnab-Lacey Prize (IChemE), 2020

•PETRONAS Scholarship, 2014–2020