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Calendar of Physics Talks Vienna
| Machine learning approach to duality in statistical physics |
| Speaker: | Nabil Iqbal (Durham University) |
| Abstract: | A duality arises when a given physical system has two different mathematical representations. In this talk I will discuss the possibility of using modern machine learning methods to find dualities in statistical physics. Establishing a duality in lattice statistical mechanics models requires the construction of a dual Hamiltonian and a map from the original to the dual observables. By using simple neural networks to parameterize these maps and introducing a loss function that penalises the difference between correlation functions in original and dual models, the process of duality discovery can be formulated as an optimization problem. I will introduce the required concepts from machine learning and show how to solve this problem numerically for the 2d Ising model and some variants. I will also discuss the prospects of finding new dualities using such methods. |
| Date: | Tue, 07.01.2025 |
| Time: | 14:00 |
| Duration: | 60 min |
| Location: | online on Zoom |
| Contact: | S. Fredenhagen, M. Sperling |
| Speaker: | Fedor Jelezko (Universität Ulm) |
| Abstract: | folgt |
| Date: | Fri, 10.01.2025 |
| Time: | 10:00 |
| Duration: | 45 min |
| Location: | Helmut Rauch Lecture Hall |
| Contact: | Tomas Sikorsky |
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