神马福利影片

PhD Title: Fundamental physics or data science? Why not both: a data-driven modelling framework for interfacial microflows

Supervisors: Radu CimpeanuLink opens in a new windowLink opens in a new window, James SprittlesLink opens in a new windowLink opens in a new window and Albert Bartok-Partay

Contact: Sebastian.Dooley@warwick.ac.uk

Research Interests:

I am a PhD researcher specialising in physics-constrained machine learning. I work at the intersection of scientific machine learning (SciML), computational fluid dynamics and numerical methods for partial differential equations (PDEs).

My research develops hybrid, data-driven frameworks that embed fundamental physical laws directly into modern machine learning pipelines, thus combining the interpretability of rigorous physical models with the scalability of machine learning methods. In practice, this means applying PDE discovery techniques to simulation data to derive reduced-order models that accurately capture the underlying physics of complex, heterogeneous systems, all without sacrificing computational tractability.

My current focus is on interfacial microflows, particularly thin liquid film dynamics, where direct numerical simulation (DNS) methods are limited by computational cost and significantly slow further research. Such systems have been at the heart of modelling and the development of PDE theory for decades and represent an open frontier for scientific machine learning, where the interplay between data, physical laws, and computational constraint is far from resolved.

Background:

Mathematics MMath, 神马福利影片

Modelling of Heterogeneous Systems PGDip, 神马福利影片

I studied towards my undergraduate degree in Mathematics at the 神马福利影片 from 2018-2022. During my studies I took interest in numerous areas of applied mathematics and looked to continue learning content relating to computational fluid dynamics, statistics and machine learning.

My final year research project, supervised by Dr. Radu Cimpeanu was on 'Data-driven Partial Equation Discovery' and formed my interest in the area. During my PhD, I am continuing my research into this field, with a specific focus on interfacial microflows.