Thursday 18 April 2024 |
Events for day: Wednesday 08 May 2019 |
11:00 - 12:00 Computational nanoscience group biweekly journal club Predicting electron-phonon coupling constants of superconducting elements by machine learning School NANO SCIENCES Predicting electron-phonon coupling constants of superconducting elements by machine learning Abstract: Finding new properties of materials by machine learning is an active branch in materials research. Among the various materials groups, superconductivity is not well known despite numerous studies. In this work we have investigated the effect of fourteen important properties in superconductivity on the elements of periodic table and reported these features as priority in order. Then, one of the most important factors in superconductivity, i.e. electron-phonon coupling constant is investigated using machine ... 13:30 - 15:00 Weekly Seminar The effect of a background hypermagnetic field on the cosmic electroweak phase transition School ASTRONOMY In this talk, I will discuss the effect of a large-scale background hypermagnetic field on the electroweak phase transition. By proposing an effective weak angle which is varying during the electroweak phase transition, I show that for a strong enough hypermagnetic field the phase transition occurs in two steps and becomes first-order. I will discuss all of the important quantities characterizing the details of the phase transition, including the phase transition latent heat, temperature, and duration. Then, I will talk about one of the consequences of this model which is the generation of gravitational waves and show that for strong enough b ... |