| Thursday 25 April 2024 | |
| Events for day: Wednesday 12 August 2020 |
| 11:00 - 12:00 Wednesday Weekly Seminar-skyroom Systematic Analysis of Flow Distributions School PARTICLES AND ACCELERATORS Based on: arXiv:2006.16019. Abstract: The information of the event-by-event fluctuations is extracted from flow harmonic distributions and cumulants, which can be done experimentally. In this work, I employ the standard method of Gram-Charlier series with the normal kernel to find such distribution, which is the generalization of recently introduced flow distributions for the studies of the event-by-event fluctuations. Also, I introduce a new set of cumulants $j_n{2k}$ which have more information about the fluctuations compared with other known cumulants. The experimental data imply that not only all of the informati ... 14:00 - 15:00 Weekly Seminar Condensed Matter and Statistical Physics Group Ab initio prediction of magnetic properties School PHYSICS Abstract: One of the progressing material science field is to design new materials using computer simulations. In this regard, the most important issue is correct prediction of material properties. One of the popular method for prediction of material properties is ab initio methods such as density functional theory (DFT). But because of technical difficulties, it is hard to derive temperature dependent properties of magnetic materials, such as transition temperature, from such methods directly. Therefore, we combine DFT and methods such as Monte-Carlo (MC) (DFT+MC) to predict magnetic material properties versus temperature. In ... 14:00 - 15:00 Weekly Webinar Ab initio prediction of magnetic properties School NANO SCIENCES Ab initio prediction of magnetic properties Abstract: One of the progressing material science field is to design new materials using computer simulations. In this regard, the most important issue is correct prediction of material properties. One of the popular method for prediction of material properties is ab initio methods such as density functional theory (DFT). But because of technical difficulties, it is hard to derive temperature dependent properties of magnetic materials, such as transition temperature, from such methods directly. Therefore, we combine DFT and methods such as Monte-Carlo (MC) (DFT+MC ... 18:00 - 19:30 Theoretical Neuroscience Journal Club Online On-implant spike sorting based on salient feature selection School COGNITIVE SCIENCES Organized by: School of Cognitive Sciences to receive the link to join online, please send email to theoretical.neurosci.ipm@gmail.com Abstract: In the realization of brain implants and neural prostheses, one of the main challenges is to increase the number of recording channels. This is mainly because of the significant increase in the need for power consumption, data telemetry bandwidth, and also enlarged physical dimension of the neural recording implant. On-implant spike sorting is one of the possible steps towards overcoming such challenges by efficient data reduction. On-implant ... |