In this structural matter seminar, Dr. Sarah A.M. Loos explores control strategies that transition a system from one state to another in the most energy efficient way using stochastic thermodynamics.
In this structural matter seminar, Dr. Alessandro Lucantonio presents his research on advancing symbolic regression for model discovery, with a focus on developing new algorithms to uncover interpretable and accurate models for complex physical systems. Key areas of exploration include reduced-order modeling for fluid mechanics, robotic control, and fracture mechanics.
Seminar – Sarah A.M. Loos: Small Systems, Smart Strategies – Energy Optimization through Stochastic Thermodynamics 
Seminar – Dr. Alessandro Lucantonio: Physics-Based Model Discovery with Symbolic Regression