SCoPE: Multi-scale modelling of advanced engineering materials

Within its series “Spotlights in Computational Physics and Engineering (SCoPE)” DTU DRIVEN is welcoming Lei Liu from Chalmers University of Technology for his short course on Multi-scale modelling of advanced materials. The 4-parts short course takes place on 25 and 26 April 2024, 10h00-12h00, room MSA 2.230 and MSA 3.160. Further details are given in … Continued

SCoPE: Metamaterials – A continuum modelling approach

Within its series “Spotlights in Computational Physics and Engineering (SCoPE)” DTU DRIVEN is welcoming Gianluca Rizzi from the Chair of Continuum Mechanics at TU Dortmund for his short course on Metamaterials. The 4-parts short course takes place on 14 and 15 March 2024, 10h00-12h00, room MNO 1.030. Further details are given in the poster.

SCoPE: Isogeometric Reduced Order Methods

Within its series “Spotlights in Computational Physics and Engineering (SCoPE)” DTU DRIVEN is welcoming Margarita Chasapi from the Chair of Numerical Modelling and Simulation at EPFL Lausanne for her short course on Isogeometric Reduced Order Methods. The 4-parts short course takes place on 22 and 23 February 2024, 10h00-12h00, room MSA 3.070 and MSA 3.100. … Continued

SCoPE: Foundations of Microstructure Reconstruction

Within its series “Spotlights in Computational Physics and Engineering (SCoPE)” DTU DRIVEN is welcoming Paul Seibert from the Institute of Solid Mechanics at Technische Universität Dresden for his short course on Foundations of Microstructure Reconstruction. The 4-parts short course take place on 11 and 12 January 2024, 10h00-12h00, room MNO.1030. Further details are given in … Continued

New DTU DRIVEN training series: SCoPE

The Doctoral Training Unit Data-driven Computational Modelling and Applications (DTU DRIVEN) at the University of Luxembourg is hosting a new lecture series on Spotlights in Computational Physics and Engineering (SCoPE) with a special focus on high potential research in the field. The series is organised by the thematic cluster Computational Physics and Engineering Sciences of … Continued

Upcoming PhD defence: Szabolcs Goger

Szabolcs GOGER will defend his PhD thesis Development of Practical Non-Local Many-Body Polarization Functionals on Monday, 06 November 2023, 10h00-13h00, Campus Limpertsberg, Bâtiment des Sciences, BS 0.03.

Upcoming PhD defence: Chrysovalantou Kalaitzidou

Chrysovalantou KALAITZIDOU will defend her PhD thesis Unveiling the Hidden Language of Extracellular Matrix Deformation: A tale of cellular whispers and unstable fibers on Monday, 30 October 2023, 10h00-13h00, Campus Belval in room MSA.3100. Cell-generated forces within the Extracellular Matrix (ECM) lead to distinct deformation patterns, characterised by significant matrix densification and alignment of its fibres. These … Continued

Upcoming PhD defence: Vu Minh Chau

Vu Minh CHAU will defend his PhD thesis Constitutive modelling of nonlinear isotropic elasticity using deep regression neural networks on Friday, 13 October 2023, 13h00-16h00, Campus Belval in room MNO.1020. This dissertation embarks upon an investigation into the application of a machine learning paradigm within the domain of computational mechanics. The central objective of this research works … Continued

Upcoming PhD defence: Fateme Darlik

Fateme DARLIK will defend her PhD thesis Physically-informed Neural Networks to Represent Motion of Granular Material on Thursday, 29 June 2023, 13h00-16h00, Campus Belval in room MNO.1010. The growing importance of renewable energy sources, particularly biomass, in mitigating climate change has led to increased research and development in this field. Biomass combustion chambers play a crucial role … Continued

Upcoming PhD defence: Ninghan Chen

Ninghan CHEN will defend her PhD thesis Decoding the Real World : Tackling Virtual Ethnographic Challenges through Data-Driven Methods on Tuesday, 27 June 2023, 14h00-17h00, Campus Belval in room MNO.1010. As the Internet has become an integral part of our daily lives, the virtual world, particularly online social networks (OSNs), have evolved into crucial platforms for learning … Continued