Thi Thai Le

Dr. Thi Thai Le serves as Head of the Predictive Methods Research Group within the Applied Algorithmic Intelligence Methods Department at Zuse Institute Berlin (ZIB), a leading research institute affiliated with Freie Universität Berlin. Her work bridges mathematical theory with practical applications in energy systems and fluid dynamics.

Dr. Le's research focuses on stability analysis of fluid interfaces, particularly examining Kelvin-Helmholtz instability in various contexts including shallow water flows, compressible media, and porous media. Her work investigates how factors like depth discontinuity, viscosity, porosity, and inertia forces affect interface stability, with direct applications to energy transition challenges. She has developed mathematical models that consider real-world constraints such as solid walls along flow directions and thermophysical properties of CO₂ for carbon transport networks.

Analysis of her publication trends reveals a clear evolution from fundamental fluid dynamics research toward increasingly applied work supporting sustainable energy transition. Her recent publications demonstrate a strategic shift toward solving practical engineering challenges in carbon capture and storage systems, particularly focusing on CO₂ transport networks. The interdisciplinary nature of her work connects pure fluid mechanics with energy engineering, computational mathematics, and environmental science.

Dr. Le maintains a strong collaborative network, particularly with Thorsten Koch at ZIB, as well as international researchers including Yasuhide Fukumoto in Japan. Her work on CO₂ transport networks represents a significant contribution to decarbonization efforts, providing optimization frameworks for pipeline infrastructure that could accelerate the transition to carbon-neutral industrial processes. Her research group develops mathematical algorithms that address the complex nonlinear behavior of CO₂ under varying temperature and pressure conditions, which is critical for designing safe and efficient carbon transport systems.