Explores mass transfer coefficients in liquid and gas phases, with a focus on convective mass transfer around dissolving bubbles and experimental dynamics of granular systems.
Introduces Scientific Machine Learning, emphasizing its application in various scientific fields and the connection between machine learning and physics.
Delves into light-induced phase transitions in quantum materials, comparing them to equilibrium transitions and exploring the potential for realizing novel phases.