The contamination crisis and a filtration fix: Two modelling frameworks for particle filtration

By Arkady Wey FiltrationFiltration is the separation of particles from fluid, usually by passing it through a membrane (Figure 1). It is used extensively for wastewater decontamination, and for harmful-particulate removal from exhaust gases in combustion plants. There are few larger problems facing humanity: The WHO has predicted that 10% […]

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Mathematical modelling of washing machines and tumble dryers

By Torin Fastnedge and Chloe Bernard Research estimates suggest that up to 35% of the microplastics found in our oceans originate from our clothing, specifically microfibres, which are released during the washing machine cycle. Subsequently, these minuscule particles enter the water and are ingested by humans through our food and […]

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Call for Papers – Kaiserslautern Applied and Industrial Mathematics Days 2023

The second edition of the Kaiserslautern Applied and Industrial Mathematics Days – KLAIM will take place in Kaiserslautern, Germany, from September 25th-27th, 2023. Registration is now open. We invite prospective speakers to submit a one-page abstract to one of the above five tracks.

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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 equations (PDEs), is a challenging task that can easily account for > 80% of the time in the overall simulation workflow. For instance, the simulation […]

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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 Department of Mathematical Sciences of the Norwegian University of Science and Technology (NTNU). Andrea and Ergys are PhD students at the Department of Mathematical Sciences […]

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Mapping 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) made its way down the water column. It was heading towards a particular coordinate, upon where HUGIN, an autonomous underwater vehicle (AUV) had spotted the […]

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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 place in Trondheim 5-12 August, 2023 (https://www.iamgconferences.org/iamg2023/). This is an annual conference to promote, worldwide, the advancement of mathematics, statistics and informatics in the geosciences. The goal is further […]

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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 for research-based innovation, funded by the research council of Norway and 13 industry partners. The goal of CGF is to become a world-leading research and innovation […]

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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 built on partial differential equations and statistical modelling. It includes work packages and applications in surface fluid mechanics and neuroscience. Its primary objective is to develop a […]

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Automated theorem provers and their role in cryptography

By Morten Rotvold Solberg and Kristian Gjøsteen In the 1970s, Fields Medal winner Paul Cohen made the prediction that in the future, mathematicians would be replaced by computers, implying that all of mathematics – including the writing of proofs – could be automated (Sriraman, 2017). While arguably bold, Cohen’s prediction […]

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