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Lars BEEXView profile

Researcher

• Computational Mechanics of Solids
• Bayesian Inference
• Multiscale Methods
• +5 more

Lars BEEX is a Senior Research Scientist at the University of Luxembourg's Faculty of Science, Technology and Medicine, Department of Engineering. He holds the right to supervise PhD students and has directed five to completion. His research focuses on computational mechanics of solids, including Bayesian inference, multiscale methods, and quasicontinuum approaches, with applications to materials like textiles, foams, and medical devices. His academic journey includes a PhD from Eindhoven University of Technology (2008-2012), supervised by Marc Geers and Ron Peerlings, as well as MSc and BSc degrees from the same institution. **Research Interests:** - Computational mechanics of solids - Bayesian inference and uncertainty quantification - Multiscale modeling (quasicontinuum method) - Mechanical modeling of fibrous and discrete materials - Phase-field damage models - Contact mechanics and elastoplasticity **Awards:** - Biezeno Solid Mechanics Award 2013 (Best PhD thesis in solid mechanics, Netherlands) - Cum laude distinction for both MSc and BSc degrees **Industrial Collaborations:** - SISTO Armaturen - IEE - Kiswire International **Teaching:** - Numerical methods for continuous optimization - Courses for Computer Science, Mathematical Modelling, and Engineering students **Lab/Affiliations:** - Legato Team (part of the University of Luxembourg's engineering research cluster)

• Condensed Matter Physics
• Magnetism and Magnetic Materials
• Materials Science
• +3 more

Professor Andreas MICHELS is a Full Professor in Physics and Materials Science at the University of Luxembourg's Faculty of Science, Technology and Medicine. He leads the Magnetic Neutron Scattering Group and specializes in experimental and theoretical studies of nanoscale magnetism, with a focus on magnetic materials and spin textures. His research integrates advanced neutron scattering techniques to probe nanomagnetism, surface anisotropy, and topological spin structures. Key research interests include condensed matter physics, micromagnetic simulations, and the study of Nd-Fe-B permanent magnets. His work explores phenomena like quantum skyrmions, Dzyaloshinskii-Moriya interactions, and defect-induced spin disorder in nanomaterials. He has pioneered methods for analyzing magnetic small-angle neutron scattering (SANS) to reveal mesoscale magnetic configurations in bulk materials and nanoparticles. Publications emphasize neutron scattering signatures of magnetic textures, spin dynamics in nanomagnets, and the interplay between microstructure and magnetic properties in alloys. His group's work bridges atomic-scale magnetism with mesoscale phenomena, contributing to advancements in data storage, energy materials, and spintronics. Dr. MICHELS is affiliated with the Department of Physics and Materials Science, where he contributes to academic leadership and cutting-edge research infrastructure. His lab focuses on developing novel neutron scattering techniques and applying them to functional magnetic materials.

• Computational Mechanics
• Numerical Methods (Meshfree/XFEM/Isogeometric)
• Mixed Variational Methods
• +3 more

Jack HALE is a Research Scientist at the University of Luxembourg's Faculty of Science, Technology and Medicine (FSTM), Department of Engineering. He joined Prof. Stéphane Bordas' team in 2013, focusing on computational mechanics and numerical methods. His work integrates advanced techniques like meshfree methods, XFEM, and isogeometric analysis to address challenges in solid mechanics and high-performance computing. Education : PhD in Aeronautics, Imperial College London (2009-2013), supervised by Dr. Pedro M. Baiz Villafranca. MEng in Engineering, University of Bristol (2004-2008). Research exchange at Rice University (2006-2007) on cross-flow filtration processes. Research Interests : Implicit boundary methods for medical image-based simulations. Development of scalable meshfree/XFEM/isogeometric analysis frameworks. Mixed variational methods to resolve locking phenomena in solid mechanics. High-performance computing for distributed parallel systems. Publications & Software : His 50+ publications emphasize open-access research via ORBilu, with a focus on FEniCSx-based tools (e.g., DOLFINx, FEniCS-shells). Recent work addresses Bayesian model selection, melt instability identification, and SAR data assimilation in aquifer modeling. Collaborations : Open to academic/industrial partnerships in computational mechanics, material science, and biomedical engineering.