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Calendar of Physics Talks Vienna
| Organic molecules on surfaces: growing and charge carriers confinement |
| Speaker: | Juan Carlos Moreno López (Faculty of Physics, University of Vienna) |
| Abstract: | Molecular self-assembly, the spontaneous organization of molecules without human intervention, has attracted considerable attention during the last few years. Beyond the spontaneous organization of the molecules, usually stabilized by a subtle interplay between non-covalent bonds and substrate-molecule interactions, molecular self-assembly has emerged as a feasible and scalable route toward realizing novel optical and electronic devices with tailored properties. Here, in the first part of the talk, I will present some examples of organic molecules deposited on metal single crystals, where their growth mechanism and on-surface reactions have been rationalized by a combined approach, including scanning tunnelling microscopy (STM), X-ray photoelectron spectroscopy (XPS), and angle-resolved photoemission spectroscopy (ARPES), among others. As outlook, I will discuss a plausible strategy to t |
| Date: | Tue, 31.01.2023 |
| Time: | 16:00 |
| Location: | TU Wien, Institut für Angewandte Physik, E134 1040 Wien, Wiedner HauptstraÃe 8-10 Yellow Tower âBâ, 5th floor, SEM.R. DB gelb 05 B |
| Contact: | Univ.Prof. PhD G. Parkinson |
| Optimizing optical potentials with physics-inspired learning algorithms |
| Speaker: | Yevhenii Kuriatnikov (TU Wien, Atominstitut) |
| Abstract: | Shaping and control of light beams play a crucial role in various optical experiments, and setups with ultracold atoms and have applications in other fields. We present an experimental combination of a superluminescent diodeâs broadband beam shaped by a digital micromirror device with fast learning algorithms for designing 1D optical potentials. We build a physics-inspired model using machine learning algorithms to act as a digital twin of the optical system predicting the behavior of the optical apparatus including all its imperfections. Implementation of iterative learning control allows us to minimize the required amount of experimental iteration for optimizing the potential to a given error level. Our methods provide a new route to fast optimization of optical potentials. |
| Date: | Wed, 01.02.2023 |
| Time: | 16:15 |
| Duration: | 45 min |
| Location: | Hörsaal ATI |
| Contact: | Maximilian Prüfer |
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