top of page

Research
Takatori Lab combines theory and experiment to study complex fluids, coupled to heat/mass transport.
Imaging and data-driven discovery of constitutive relations for complex fluids
We discover nonlinear constitutive relations of complex fluids with unknown dynamics. Our goal: Give us any fluid and we'll tell you its equation of motion by using quantitative microscopy and data-driven models constrained by domain knowledge in transport phenomena. We aim to study chemically-reactive fluids with coupling to mass/heat transport.
No, we have not gone off to the dark side. Data science is just a tool, not the focus, for our study. Deep knowledge in soft matter and fluid mechanics is essential for using tools effectively and robustly in transport phenomena.

Forecasting and controlling dynamical systems
We forecast and control the behavior of complex systems and soft materials, many with unknown or partially-known dynamics. We perform particle-based simulations and experiments, and use the data to discover "gray-box" models of dynamical systems, including many-body interactions (e.g., interparticle and hydrodynamic fluid interactions).

More details: https://titusswsquah.github.io/graybox_abp_mpc/
