Entries by Maija Sjomkāne

Conference section on Mathematical Methods for Research Excellence

International Scientific Conference of the University of Latvia is our annual tradition – in the month of January, we focus on the latest developments in mathematical modelling topics at the Faculty of Physics, Mathematics and Optometry of the University of Latvia and at the Institute of Numerical Modelling. We welcome all that are interested in […]

Monitoring and evaluating the risk of infection with COVID-19

Researchers from the Institute of Numerical Modelling have published two new research articles on a monitoring system and a numerical model for evaluating the risk of infection with COVID-19. The article titled Numerical Model for Prediction of Indoor COVID-19 Infection Risk Based on Sensor Data by Jānis Virbulis, Maija Sjomkāne , Maksims Surovovs , Andris […]

HPC Webinar – Hardware vs Cloud Computing

Many scientific fields inevitably involve the storage of large amounts of data and intensive computation: geospatial data processing, engineering calculations, statistics and more. In these areas, both specialised IT expertise and powerful computing resources are needed to achieve high-quality scientific results and to overcome the challenges of effective collaboration within a scientific team. Just a […]

HZDR Internship Experiences

Students Mārtiņš Klevs and Pēteris Zvejnieks from the Institute of Numerical Modelling have left for a 6-month internship at the HZDR (Germany). In this article, they share their study and research experience both in Latvia and Germany. Mārtiņš KlevsFirst year physics’ graduate student at the University of Latvia I have been working at the Institute […]

Research Article on Resolving Gas Bubbles in Liquid Metal

Researchers from the Institute of Numerical Modelling have published a new article titled Resolving Gas Bubbles Ascending in Liquid Metal from Low-SNR Neutron Radiography Images. The article was published in a special issue Movements in Electromagnetically Agitated Liquid Metal of the Applied Sciences journal. It was authored by Mihails Birjukovs, Pavel Trtik, Anders Kaestner, Jan […]

New Research Article in Physics of Fluids

Researchers Martins Klevs , Mihails Birjukovs , Peteris Zvejnieks and Andris  Jakovics from the Institute of Numerical Modelling have recently got a new research article published. The article titled Dynamic mode decomposition of magnetohydrodynamic bubble chain flow in a rectangular vessel was published on 12 August 2021 in the Physics of Fluids journal (Q1). Bubble flow in liquid […]

Webinar on Using HPC Technologies

High-Performance Computing (HPC) can efficiently process large data sets and quickly perform complex calculations to solve problems both in science and business. Numerical modelling, process optimisation, large data set processing and machine learning are all instruments that take up a larger and larger portion of a company’s everyday life. By using the possibilities that HPC […]

Recent University Graduates’ Study and Work Experience

As the academic year comes to an end, several members of our staff have become a degree richer. We are happy to announce that Mārtiņš Klevs, Pēteris Zvejnieks, Daniels Heincis and Maksims Surovovs have graduated from the University of Latvia and have earned either bachelor or master of science degrees in physics. The recent graduates […]

Electromagnetic processing of materials 2021

The 10th international conference and summer school on Electromagnetic Processing of Materials (EPM) took place online from the 9th to the 16th of June. Andris Jakovics, head of the laboratory of multiphysical processes at the Institute of Numerical Modelling, together with researchers from France, Israel, China, Russia, Japan, Germany, UK, USA, Ukraine, and Italy served […]