Vikram Deshpande
University of Cambridge, United Kingdom
Capturing high-rate spatiotemporal deformation of materials in three dimensions (3D) remains a significant challenge with current X-ray imaging techniques. We present a methodology that combines advances in neural rendering techniques with volume correlation methods to accurately reconstruct complex, high-rate 3D spatiotemporal structural evolutions. The fidelity and versatility of the method, which requires no pre-training, are demonstrated for a diverse set of intricate 3D-printed micro-architected solids. Using laboratory-based X-ray tomography, we capture the 3D growth of a dynamic crush band on a timescale of less than 100 milliseconds. By broadening this idea to a stereo X-ray concept, we eliminate the need to rotate the image object, thereby extending the technique to significantly faster timescales. Our neural rendering framework opens new possibilities for studying numerous poorly understood dynamic processes, such as the runaway failure of batteries and the temporal evolution of 3D shock microstructures under impact loading, all using laboratory X-ray systems.
Antonio Calà Lesina
Leibniz University Hannover, Germany
Inverse design methods based on topology optimization can uncover nanophotonic structures in 3D with free-form shapes beyond human intuition, and optical functionalities not
obtainable with conventional design methods. This talk highlights the recent achievements of my team on large-scale topology optimization for metaphotonics and integrated optics. Some of the topics include the inverse design of nanostructures made of arbitrary dispersive optical materials, the broadband optimization of absorption in metallic and dielectric nanostructures, anapole effects in plasmonic meta-atoms for transparent metasurfaces and metamaterials, and nanoantennas with desired multipolar response for scattering engineering.
Yair Shokef
Tel Aviv University, Israel
Martin Wegener
Karlsruhe Institute of Technology (KIT), Germany