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Projects - Area A

Collective Excitations explores how light interacts with mol2Dmat heterostructures, focusing on the formation of hybrid light–matter states called polaritons. These emerge from strong coupling between molecular excitations and photons, enabling new ways to tailor optical properties. The project studies three key phenomena: (i) collective excitons in molecular lattices, (ii) exciton-polaritons combining molecules, 2D semiconductors, and guided light, and (iii) tunable plasmon-polaritons in charge-doped 2D materials. These excitations offer promising routes for applications in spectroscopy, quantum technologies, and optically controlled materials and chemical reactions.

Principal Investigator: Prof. Dr. Stephanie Reich

Located at: Freie Universität Berlin

Project A01 focuses on creating and manipulating collective molecular states formed by organic dye molecules assembled into monolayers on 2D materials such as graphene, hBN, and TMDs. By varying the molecules and 2D substrates, it engineers’ lattices with different symmetries and coupling strengths. This leads to emergent effects like collective molecular excitons and potential superradiant states with unique optical properties.

Experimental methods: physical vapor deposition (PVD), atomic force microscopy (AFM), and fluorescence, absorption and Raman spectroscopy

Principal Investigator: Prof. Dr. Hélène Seiler

Located at: Freie Universität Berlin

Project A02 investigates how light and excitons strongly couple in mol2Dmat heterostructures with different structures and disorder. Using advanced two-dimensional electronic spectroscopy, it studies the formation, decay, and coherent dynamics of collective states. The goal is to understand near-field interactions, identify microscopic dissipation pathways, and control these processes through molecular design.

Experimental methods: two-dimensional electronic spectroscopy (2DES), Fourier plane imaging

Principal Investigator: Prof. Dr. Andreas Knorr

Located at: Technische Universität Berlin

Project A03 explores new light-driven excitations in mol2Dmat systems, focusing on interlayer excitons and energy transfer. It develops theoretical tools to predict signals in optical experiments and studies how light and matter interact across distances, especially in molecular layers and 2D plasmons.

Theoretical methods: self-consistent solution of Maxwell- and many body Bloch-equations

Principal Investigator: Dr. Patryk Kusch

Located at: Freie Universität Berlin

Project A04 uses near-field optical microscopy to study polaritons—hybrid light-matter states—in mol2Dmat systems. It investigates how excitons in molecular films couple to photonic states in materials like hBN or graphene. By imaging polariton behavior, the project aims to reveal their properties and create tunable plasmonic nanostructures with adjustable optical responses.

Experimental methods: scattering near-field optical microscope (SNOM), tip-enhanced Raman spectroscopy (TERS)

Principal Investigators: Dr. Benedikt Haas & Prof. Dr. Christoph Koch

Located at: Humboldt Universität zu Berlin

Project A05 uses high-resolution electron microscopy and spectroscopy to study mol2Dmat structures and their exciton-polaritons. It visualizes new molecular species, maps polariton behavior, and explores light–matter interactions. Advanced techniques, such as ptychography and laser-stimulated spectroscopy enable atomically resolved imaging of electrostatic potentials and selective spectroscopy of excited states.

Experimental methods: electron energy-loss spectroscopy (EELS), stimulated electron energy-gain spectroscopy (sEEGS), ptychography

Principal Investigator: Dr. Mariana Rossi

Located at: Max-Planck-Institut für Struktur und Dynamik der Materie (MPSD), Hamburg

Project A06 develops a machine-learning framework to predict the structure and electronic behavior of large molecular–2D material systems with high accuracy. It simulates donor–acceptor molecules on materials like graphene and hBN, capturing electron–phonon interactions, charge transfer, and temperature effects. The goal is to understand how 2D materials influence molecular properties at the atomic scale.

Theoretical methods: machine-learning