|
Calendar of Physics Talks Vienna
| Is Flat-Space Holography Renormalizable? |
| Speaker: | Arnaud Delfante (University of Vienna) |
| Abstract: | Asymptotic symmetries provide a powerful window into the holographic principle. Unlike pure gauge transformations, they are associated with non-vanishing conserved charges defined at the boundary. However, near infinity the quantities entering these charges typically diverge, rendering a suitable renormalization procedure essential. While holographic renormalization is well understood in asymptotically AdS spacetimes, its flat-space counterpart remains far less developed. In this talk, I will first review the AdS framework and its renormalization program, before surveying the current state of the art in asymptotically flat backgrounds. I will emphasize the central open problems that must be resolved in order to clarify the nature of the putative dual conformal field theory. In particular, I will argue that if such a dual theory exists, whether celestial or Carrollian, it appears to be in |
| Date: | Tue, 17.03.2026 |
| Time: | 14:00 |
| Duration: | 60 min |
| Location: | Erwin-Schroedinger-HS, Boltzmanngasse 5, 1090 Wien, 5.Stock |
| Contact: | S. Fredenhagen, M. Sperling |
| Engineering 3D Magnetic Nanostructures for High-Frequency Spin Dynamics and On-Chip Integration |
| Speaker: | Huixin Guo |
| Abstract: | Three-dimensional (3D) magnetic architectures are an emerging platform that enables access to new spin textures and novel functionalities, while offering routes toward higher integration density in spin-based devices[1,2]. A versatile and scalable 3D nanofabrication approach combining two-photon lithography (TPL) and atomic layer deposition (ALD) is recently realized[3]. Rich spin-wave spectra featuring distinct bulk and surface magnon modes extending up to 25 GHz has been found on 3D ferromagnetic Ni nanonetworks with a woodpile unit cell. Systematic studies demonstrate how lattice period and finite size (unit-cell number) reshape the mode landscape. Functional integration onto coplanar waveguides (CPWs) enables direct excitation and electrical readout of coherent spin-wave dynamics in these 3D architectures[4]. Micromagnetic simulations are employed to identify the microscopic characte |
| Date: | Tue, 17.03.2026 |
| Time: | 16:00 |
| Location: | TU Wien, Institut für Angewandte Physik, E134 1040 Wien, Wiedner Hauptstraße 8-10 Yellow Tower „B“, 5th floor, SEM.R. DB gelb 05 B |
| Contact: | Prof. Amalio Fernandez-Pacheco |
| Advances in gravitational-wave predictions through quantum field theory methods |
| Speaker: | Christoph Dlapa (University of Hamburg) |
| Abstract: | Motivated by the success of current gravitational-wave detectors, there has been significant progress in applying ideas from particle physics to the study of the inspiral problem for compact objects in classical general relativity. In particular, the methods and tools developed in perturbative quantum field theory arise most naturally when applied to the post-Minkowskian expansion, which is an expansion in Newton’s coupling constant. In this talk, I will provide an overview of current approaches and show how the state of the art for non-spinning black-hole binaries has been achieved using an effective field theory of point particles. Importantly, I will also discuss how results obtained for scattering can be translated to the phenomenologically relevant case of merging black holes. |
| Date: | Tue, 17.03.2026 |
| Time: | 16:15 |
| Duration: | 60 min |
| Location: | Erwin-Schroedinger Lecture Hall, 1090 Vienna, Boltzmanngasse 5, 5th floor |
| Contact: | A. Hoang, J. Pradler, M. Procura |
| Deep Learning for Quantum Physics and Astronomy |
| Speaker: | Johannes Kofler (Department for Quantum Computing, JKU Linz) |
| Abstract: | In the past decade, Deep Learning has emerged as the most transformative subfield of Artificial Intelligence, leading to enormous advances in not only text, language, music, and video processing, autonomous driving, and board-game strategies, but also in the chemical and physical sciences, e.g., in protein folding, weather forecasts, and material design. In this talk, I will first give a brief introduction about fundamental neural network architectures such as Long Short-Term Memory (LSTM), Residual Neural Networks (ResNets), and Graph Neural Networks (GNNs). I will then report on our work using such networks for various different physical problems. Depending on the available time, the following may be covered:
• Modelling multi-particle high-dimensional photonic quantum experiments by predicting output state characteristics for given setups without the necessity of computing the states |
| Date: | Wed, 18.03.2026 |
| Time: | 16:15 |
| Duration: | 45 min |
| Location: | Helmut Rauch Hörsaal ATI |
| Contact: | Elena Redchenko |
| Laboratory constraint on the electric charge of the neutron and the neutrino |
| Speaker: | Savely G. Karshenboim (Max-Planck-Institut für Quantenoptik, Garching, 85748, Germany) |
| Abstract: | The constraints on the value of the electric charge of the neutron and the neutrinos, as well as on the electric-charge proton-electron difference ep+ ee are revisited. For details see https://indico.global/event/17165/ |
| Date: | Thu, 19.03.2026 |
| Time: | 10:00 |
| Duration: | 60 min |
| Location: | Marietta Blau Institute for Particle Physics, Dominikanerbastei 16 [PSK], 1010 Vienna, Besprechungsraum 3A.1/2 |
| Contact: | eberhard.widmann@oeaw.ac.at, claude.amsler@cern.ch, ulyana.dupletsa@oeaw.ac.at |
| Gravitational Waves: An Interface Across Scales and Disciplines |
| Speaker: | Gianluca Inguglia (MBI) |
| Abstract: | Since the first experimental detection of gravitational waves in 2015, observations in this field have profoundly transformed our understanding of the Universe, leading to discoveries that were once only anticipated and are now being realised.
In this presentation, I will offer a personal (and admittedly biased) overview of gravitational wave science, emphasising how this field naturally operates at the interface of multiple disciplines, ranging from astrophysics and cosmology to particle physics and artificial intelligence. I will review the current status and prospects of detectors such as LIGO–Virgo–KAGRA and the Einstein Telescope, and discuss how their observations will enable deeper insights into black hole populations, neutron-star mergers, and the early history of the Universe.
Finally, I will address the increasingly central role of artificial intelligence and machine learning i |
| Date: | Fri, 20.03.2026 |
| Time: | 09:00 |
| Duration: | 45 min |
| Location: | Helmut Rauch HÃÂörsaal ATI |
| Contact: | Jochen Schieck |
|