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engineering structures made of concrete, steel, wood and other materials, separately or in combination, at normal conditions, in cold climate and in fire. Project description The project, Semi-Probabilistic
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understanding of slag modification routes and their implications for material performance. The research combines thermodynamic modelling, laboratory-scale experiments, and advanced slag characterization
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and automated floor-plan recognition, to fill data gaps and harmonise information from disparate sources. Learn more and watch our project video here: https://sb.chalmers.se/digital-material-inventories
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, fluid mechanics, reactive flows, as well as solid mechanics plays a central role. In particular, improved understanding of turbulent, reactive, and multiphase flows together with material sciences and
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and strengthening, of buildings and civil engineering structures made of concrete, steel, wood and other materials, separately or in combination, at normal conditions, in cold climate and in fire
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generative surrogate models for molecular dynamics (MD). MD is a foundational technology across the sciences and engineering, with translational applications in areas such as drug discovery and materials
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(tensile, shear, hardness, fatigue) of welded joints. Develop or refine numerical/thermal–mechanical models to understand material flow, heat generation, and defect formation in FSW and FSSW. Analyze data
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engineering processing, material recycling, nuclear chemistry, theory and modelling. About the research project The project focuses on the development and synthesis of new π-conjugated organic semiconductors
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-ion batteries. Application of novel types of battery materials will affect current distribution in the cell. The project aims to model ionic and electronic transport in the battery cell based on 3D
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sciences and engineering, with translational applications in areas such as drug discovery and materials design. One of our group's goals is to create efficient surrogate models that reduce the computational