Explores dark-field microscopy, highlighting its improved contrast, high sensitivity, and potential for high-resolution imaging in various scientific fields.
Explores data-driven modeling of haemodynamics in vascular flows, focusing on computational challenges, reduced order modeling, FSI problems, and neural network applications.
Explores canonical transformations, their properties, and applications in Hamiltonian mechanics, emphasizing their role in simplifying the analysis of complex systems.
Explores the principles and applications of Nuclear Magnetic Resonance, covering chemical structure elucidation, peak interpretation, and medical imaging.
