March 2020 changed the lives of everyone around the around. We were all worried about the spread of COVID-19, fascinated with R number and hoping
Read moreYear: 2023
EGSI 173 Limerick, Ireland 19 – 23 June 2023
We are delighted to announce that the 173 European Study Group with Industry (ESGI) will be hosted by MACSI, Department of Mathematics and Statistics, in
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25 years of MaGIC: Manifolds and Geometric Integration Colloquia, in Norway
The first time we organised MaGIC it was in 1999 in Ustahoset, Norway. The group of participants was not very big and we all lived
Read moreHello from the Mathematics Applications Consortium for Science and Industry (MACSI) team in Limerick.
Over the next 15 days we will bring you some updates from our network of mathematical and statistical research teams. We’ve had a very busy
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CutFEM: Discretizing Partial Differential Equations and Geometry
by Andre’ Massing The burden of mesh generation The generation of meshes, as a fundamental prerequisite for the majority of computational methods for partial differential
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A glimpse into a collaboration between academia and industry
By Andrea Leone, Ergys Çokaj, Halvor Snersrud Gustad Halvor is an industrial-PhD student at TechnipFMC, a global leader in oil and gas engineering, and the
Read moreMapping lakes and learning Hamiltonians
By Håkon Noren While the tiny boat was immersed in darkness on the largest freshwater lake in Norway, Mjøsa, an underwater remotely operated vehicle (ROV)
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IAMG2023 conference in Trondheim, Norway
Jo Eidsvik, Department of Mathematical Sciences, NTNU Steinar Ellefmo, Department of Geoscience and Petroleum, NTNU The international association of Mathematical Geosciences (IAMG) conference will take
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Centre for Geophysical Forecasting
By Jo Eidsvik, Department of Mathematical Sciences, NTNU Research Director, Centre for Geophysical Forecasting The Centre for Geophysical Forecasting (CGF, https://www.ntnu.edu/cgf) is one of the Norwegian centres
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Partial differential equations, statistics and data in an interdisciplinary approach to data-based modelling
By Mats Ehrnström NTNU Norwegian University of Science and Technology IMod is a 2022–2028 interdisciplinary project for building, analyzing and testing frameworks for data-based modelling
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