معرفی
Marine Casalis is a Researcher at the Department of Political Analysis at ETH Zurich, Switzerland. Their work focuses on interdisciplinary research at the intersection of computational mechanics, materials science, and biomedical engineering. Key research interests include data-driven computing, fracture mechanics, and multiscale modeling of materials. Casalis has presented extensively at international conferences, such as ECCOMAS-CMCS, STAMS, and IUTAM Symposia, highlighting contributions to topics like ductile fracture, hydrogen storage in nanoparticles, and optimal transport methods in mechanics. Their research bridges theoretical and applied perspectives, with a strong emphasis on predictive modeling and algorithm development. Recent work includes advancements in model-free data-driven approaches and their application to complex material systems.
Research activities span computational mechanics, with a focus on understanding and simulating deformation, fracture, and microstructural evolution in metals and other materials. Notable contributions include studies on strain-gradient microplasticity, optimal scaling laws for fracture, and the mechanics of fused silica glass. Casalis has also explored biomedical applications such as oncotripsy and ultrasound neuromodulation, demonstrating a commitment to interdisciplinary innovation. Their work often integrates advanced numerical methods, such as meshfree approximations and atomistic simulations, to address challenges in energy and materials science.
Publications and presentations reflect a sustained engagement with cutting-edge topics in mechanics and materials science, including collaborations with institutions like Oxford University, Politecnico di Milano, and the Technical University of Munich. While no specific awards are mentioned, their extensive conference participation underscores a dynamic research profile. Advising and grant details are not provided in the available text, but their academic contributions are evident through their active role in international academic networks and computational initiatives.
