3:30pm - 4:00pmINVITEDUltra-confined Light and Ultra-Strong Coupling Regime with phonon polaritions
Luis Martín-Moreno
Universidad de Zaragoza, Spain
Ultra-confined Light and Ultra-Strong Coupling Regime with phonon polaritions
4:00pm - 4:15pmStrong coupling of organic light-harvesting complexes in metallic microcavities for low-threshold microlasers
Alice Boschetti1, Andrea Betti2, Eleonora Cara1, Giulia Serrano3, Renato Torre2, Giuseppe Luca Celardo2
1Istituto Nazionale di Ricerca Metrologica, Italy; 2Dipartimento di Fisica e Astronomia, Università di Firenze, Italy; 3Dipartimento di Chimica Ugo Schiff, Università di Firenze, Italy
Microscale coherent light sources are fundamental to photonic technologies, enabling applications in metrology, data processing, and high-speed computation. Photonic chips that integrate both gain and passive sections are poised to revolutionize optical communications by reducing system complexity and supporting logic operations at higher bandwidths and spped. Organic materials offer a compelling platform for these applications due to their rich optical transitions, mechanical flexibility, and chemical compatibility, making them ideal candidates for multifunctional soft photonics.
In this work, we investigate light-harvesting supramolecular complexes, characterized by strong absorption and extensive exciton delocalization, as antenna systems coupled with acceptor dyes to enhance light–matter interaction within optical microcavities.
Dye aggregates embedded in polymer matrices, confined between metal mirrors to form optical microcavities, exhibit clear polariton signatures characterized by large Rabi splitting energies, as demonstrated by angular-resolved transmittance and fluorescence measurements. This study demonstrates the potential of organic microcavities for advanced optoelectronic applications, particularly in enhancing energy transfer between distinct molecular species. Ongoing research aims to extend these findings through the integration of biological and nanostructured materials, broadening the scope of organic polaritonics and hybrid light-harvesting technologies.
4:15pm - 4:30pmStrongly coupled magnon–plasmon polaritons in graphene-two-dimensional ferromagnet heterostructures
António Costa1, Mikhail Vasilevskiy1, Joaquín Fernández-Rossier2, Nuno Peres1
1Universidade do Minho, Portugal; 2International Iberian Nanotechnology Laboratory, Braga, Portugal
Magnons and plasmons are different collective modes, involving the spin and charge degrees of freedom, respectively. Formation of hybrid plasmon–magnon polaritons in heterostructures of plasmonic and magnetic systems faces two challenges, the small interaction of the electromagnetic field of the plasmon with the spins, and the energy mismatch, as in most systems plasmons have energies orders of magnitude larger than those of magnons. We show that graphene plasmons form polaritons with the magnons of two-dimensional ferromagnetic insulators, placed up to to half a micrometer apart, with Rabi splittings in the range of 100 GHz (dramatically larger than cavity magnonics). This is facilitated both by the small energy of graphene plasmons and the cooperative super-radiant nature of the plasmon–magnon coupling afforded by phase matching. We show that the coupling can be modulated both electrically and mechanically, and we propose a ferromagnetic resonance experiment implemented with a two-dimensional ferromagnet driven by graphene plasmons.
4:30pm - 4:45pmHamiltonian learning of excitons in one-dimensional system
Yitao Sun, Jose Lado
Aalto University, Finland
Composite electronic excitations such as polarons and excitons, play a crucial role in the optical response of quantum materials. However, the complex underlying physics of their quasiparticles, and in particular excitons often makes it challenging to measure or infer key excitonic parameters directly from experiments. In recent years, Hamiltonian learning is an emerging approach in physics that combines theoretical modeling with machine learning algorithms to extract physical parameters from experimental data. Here, we investigate the use of Hamiltonian learning to infer excitonic parameters in one-dimensional systems. We perform exact many-body simulations of interacting models featuring excitons, demonstrating their real-time dynamics. The results will be used for training machine learning models to learn the mapping between observable quantities and underlying physical parameters. Once trained, these models will be used to infer excitonic parameters in more general systems. Ultimately, this strategy can be extended to capture more complex optical excitations phenomena, including doublons, trions, and biexcitons. This work will pave way to perform Hamiltonian learning from the dynamics of composite electronic excitations, combining quantum many-body methods, machine learning and experimental observables in quantum materials.
4:45pm - 5:00pmChiral spin and optics in 2D magnets
Youqiang Huang, Tiago V. C. Antão, Adolfo O. Fumega, Jose L. Lado, Zhipei Sun
Aalto University, Finland
Chirality-driven spin configurations hold great potential for advancing spintronics by enabling compact, energy-efficient memory devices and high-density data storage solutions. Here, we will present our experimental results of spin structures in 2D van der Waals magnet. These spin configurations exhibit distinct optical characteristics, arising from spin interactions influenced by external magnetic fields and thermal variations. The observed chiral optical responses serve as a highly sensitive probe for detecting non-collinear spin arrangements. Our findings highlight 2D magnetic materials and their heterostructures as promising candidates for reconfigurable spin-photonics and spintronic applications.
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