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ML Research Team
We do theoretical and computational physics. We specialize in photonics, the quantum science of light. We are in the era of the second quantum revolution. There is a growing interest in gaining a better fundamental understanding of light-matter interactions in order to address the next generation of quantum devices. This is where our journey begins.
Our tools are theoretical physics, including analytical modeling and numerical simulations, as close as possible to the experiments.
The group also conducts research in the fields of the science of teaching and learning, as well as in science communication.
Promoter (PI): Michaël Lobet
Michaël Lobet, an FNRS Research associate, is a member of the Department of Physics and is also affiliated with the NISM Institute (NOP Research Cluster) and the IRDENa Institute.
Controlling and Manipulating Light Through Material Structure
Main Areas of Research
- Optics and Photonics
- Metamaterials and Plasmonics
- Classical, quantum, and cavity electrodynamics
- Educational Sciences
In particular
- Near-zero refractive index photonics
- Near-field optics and 2D materials
- Twisted optics and Moiré photonics
- Machine learning and optimizations
- Space optics and radiative cooling
- Active teaching and impact of generative AI on teaching
- Science of teaching and learning
Tools
- Modeling, Numerical Simulations, and Experiments
Collaborations
- Harvard, UPenn, Vanderbilt University, Stanford, Michigan State University, DTU, Tsinghua, Universidad Pública de Navarra, TU Delft, TU Eindhoven, TU Dresden, Brazilian Synchrotron Light Laboratory, ULg, UCLouvain, ...
Focus
AI Score
Michaël Lobet’s team developed the “AI Score,” a scientifically grounded and reproducible evaluation method designed to measure the educational reliability of conversational agents used as educational chatbots. Learn more...
MSCA Doctoral Networks (DN)
The recently funded SPARK project explores programmable materials for controlling light at very high speeds. Learn more...
Activities
