En 2025, en pour la 6ème année consécutive, Frédéric KUZNIK apparaît dans la liste des 2% des scientifiques les plus cités dans le monde de l’Université de Stanford. 

Their paper, entitled “Assessment of Three Deep Reinforcement Learning Algorithms for District Heating Network Optimal Control”, demonstrates how the optimization problem of district heating network control can be reformulated as a policy learning task, by coupling an autonomous agent with a digital twin of the network.

He took this opportunity to strengthen existing collaborations with Chinese universities.

This acknowledges exceptional commitment to research and teaching in thermal and climate engineering.

This illustrates the quality of research performed at CETHIL and related to heat transfer in buildings and their environment.

The work addresses the impact of domain walls on the thermal conductivity in ferroelectric and ferroelastic materials.