Efficient numerical quadrature for the boundary elements method with application to electrical machines

Nowadays, the design with regard to efficiency and reliability is a major task in the development of electrical machines. Therefore, numerical simulations play an increasingly important role. Due to many favorable properties, the finite element method (FEM) is well established for simulating low-frequency electrical engineering applications, e.g. with nonlinear material […]

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GPU Computing and Machine Learning for solving high-dimensional BSDEs

My name is Lorenc Kapllani, I come from Albania. Currently, I’m following my first year of the PhD program in University of Wuppertal, group of Applied Mathematics and Numerical Analysis (AMNA). I completed the bachelor’s degree in Engineering Mathematics at the Polytechnic University of Tirana (Albania). My bachelor thesis was […]

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Fast construction of Quasi Monte Carlo points

Within their program “Femtech Praktikum”, the Austrian Research Promotion Agency offers cofunding of internships at research companies to female students of natural or technical sciences. From November 2019 to April 2020, Judith Barth from Kepler University was such an intern at MathConsult, researching on constructing generating vectors of rank-1 lattice […]

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Mathematical competitions for university students

Hi, this is Artem Eliseev again and today I would like to say some words about mathematical competitions for students. We’ve already written about supplementary activities in mathematics, which take place in Saint-Petersburg (https://ecmiindmath.org/2018/02/09/supplementary-mathematical-education-in-russian-schools/), but only activities for high school students were discussed. Of course, studies at university are completely […]

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Using machine learning to predict materials’ properties

Researchers from Peter the Great St.Petersburg Polytechnic University (SPbPU) in collaboration with colleagues from Southern Federal University and Indian Institute of Technology-Madras (IIT Madras) suggested using machine learning methods to predict the properties of artificial sapphire crystals. It is a unique material widely used in microelectronics, optics, and electronics. The […]

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Seminar series MPML (= Mathematics, Physics and Machine Learning)

A new seminar series MPML (= Mathematics, Physics and Machine Learning) will start online on May 14. Those interested in receiving the announcements (which will include the zoom addresses and passwords) please register in the series web page: https://mpml.tecnico.ulisboa.pt https://mpml.tecnico.ulisboa.pt/registration The IST seminar series Mathematics, Physics & Machine Learning aims […]

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