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Digital Transformation with a close collaboration with top scientists at Linnaeus University, SLU, KTH and 12 industrial partners along the value chain in furniture, packaging and construction sectors
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Hydrogen is expected to play a key role in the energy and fuel mix of future sustainable transport systems. However, due to its small and light molecular structure, hydrogen exhibits significantly
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research on cleaning methods. Surface coatings are essential for protecting wood construction materials and enhancing their functionality, but yet another example of dependency on fossil resources
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propagation problems, stochastic partial differential equations, geometric numerical integration, optimization, biomathematics, biostatistics, spatial modeling, Bayesian inference, high-dimensional data, large
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composition, structure, properties and production of materials – mainly metallic and ceramic – as well as application aspects. Project description The main goal of this project is to identify and develop
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include structural integrity, fatigue and fracture mechanics, collision survivability, hull design, risk and reliability analysis, ship resistance and motions, and propulsion systems. Our research spans
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are superconductivity and superfluidity, fermion quadrupling condensate, magnetism, ferroelectrics, classical and quantum phase transitions, ultracold atoms, structure formation in soft matter, topological solitons
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application! Work assignments Subject area: Computational studies of the influence of microstructural features on the structural integrity of metallic materials using machine learning Subject area description
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expressions when the matrix sizes are unknown at compile-time. The project aims to address the problem using e-graphs. An e-graph is a data structure commonly used in automated theorem provers and recently