Université de Pau et des Pays de l’Adour, France
Fabrizio Croccolo is Professor at the Anglet site of the Université de Pau et des Pays de l’Adour in France and leads an Industrial Chair focused on CO2 storage. His research interests mainly cover the development of imaging optical techniques for investigating fluids in non-equilibrium conditions. He has been involved in several experiments in microgravity including GRADFLEX, SCCO-SJ10, DCMIX4 and NEUF-DIX or Giant Fluctuations.
Speech Title：Convective dissolution of carbon dioxide into brine in a three-dimensional free medium.
Abstract：The sequestration of carbon dioxide (CO2) into deep saline aquifers can help to achieve the zero-carbon target necessary to mitigate the global warming. The effectiveness of the sequestration process, partly driven by the convective dissolution of CO2 in brine, is nowadays well characterized only for 2D geometries and small injection pressures. However, reliable predictions of process-efficiency are missing because of the lack of full understanding of the 3D spatio-temporal behavior of CO2-rich convective fingers in brine over a large range of pressures. Here, we show that the convective dissolution is determined by the instability of the boundary layer formed at the interface between the two phases and is independent of the overall vertical size. Experiments conducted at process-relevant conditions showed the formation of complex 3D structures which could not be detected in previous 2D Hele-Shaw studies. A scale-free theoretical modelling of the convective process allows us to remap our laboratory results to length-scales of relevance for geological reservoirs.
Keywords：CCUS, global warming, storage, deep aquifers.
City University of New York, USA
Andrea Alù is a Distinguished Professor at the City University of New York (CUNY), the Founding Director of the Photonics Initiative, CUNY Advanced Science Research Center, and the Einstein Professor of Physics at the CUNY Graduate Center. He received his Laurea (2001) and PhD (2007) from the University of Roma Tre, Italy, and, after a postdoc at the University of Pennsylvania, he joined the faculty of the University of Texas at Austin in 2009, where he was the Temple Foundation Endowed Professor until Jan. 2018. Dr. Alù is a Fellow of NAI, AAAS, IEEE, AAAS, OSA, SPIE and APS, and has received several scientific awards, including the Blavatnik National Award in Physical Sciences and Engineering, the IEEE Kiyo Tomiyasu Award, the Vannevar Bush Faculty Fellowship, and the NSF Alan T. Waterman award.
Speech Title：Nonlocal Metasurfaces.
Abstract：In this talk, I will present and discuss our recent advances on metasurfaces based on highly delocalized modes, stemming from long-range resonant interactions and lattice phenomena. Different from conventional metasurface approaches, engineered nonlocality offers tailored spectral control, and at the same time can be tailored in space with large resolution using geometric phase concepts. Their response is ideal for imaging and signal processing applications, and to enhance light-matter interactions. We achieve these features by combining quasi-bound states in the continuum with geometric phase variations in engineered metasrfaces, tailoring at will the supported eigenwaves. The resulting metasurfaces support ultrasharp responses selective to the impinging wave properties, effectively realizing ultrathin transparent films that highly reflect light only when illuminated by selected polarization, frequency and wavefront spatial distribution of choice. The demonstrated wavefront selectivity of nonlocal metasurfaces opens exciting opportunities for augmented reality, secure communications, thermal emission management, optical modulators and enhanced light-matter interactions for nonlinear and quantum optics. In particular, in the talk we demonstrate our recent experimental demonstrations on highly efficient signal processing metasurfaces for polarization imaging, among other applications of these phenomena.
Keywords：Metasurfaces, nonlocality, augmented reality, optical computing.