In QMAD we are developing novel approaches to bring Nanophotonics to the forefront of nowadays several of the hottest topics in science: quantum applications, novel regimes of light-matter interaction, topological optical properties and machine learning.
For example, we are investigating vibrational ultrastrong coupling in plasmonic resonators that presents new pathways to probe light-matter interactions in the mid-infrared spectral range.
We are also working in understanding non-local quantum effects in graphene plasmons. In the field of machine learning we are engineering neural network models as subrogates of traditional numerical frameworks used in Nanophotonics.
These models can speed up calculations orders of magnitude faster than the “classical” methods.