Metaphotonics and metasurfaces for disruptive sensing technologies. This project aims to address a big challenge in nanophotonics by developing revolutionary methods for efficient chiral sensing of molecules without the need for spectrometry, frequency scanning, or moving mechanical parts, and to enhance chiroptical signals a hundredfold with the help of metasurface structures. Resonant metasurfaces are arrays of engineered dielectric nanoparticles with extraordinary characteristics, and they wo ....Metaphotonics and metasurfaces for disruptive sensing technologies. This project aims to address a big challenge in nanophotonics by developing revolutionary methods for efficient chiral sensing of molecules without the need for spectrometry, frequency scanning, or moving mechanical parts, and to enhance chiroptical signals a hundredfold with the help of metasurface structures. Resonant metasurfaces are arrays of engineered dielectric nanoparticles with extraordinary characteristics, and they would allow to overcome current limitations of chiral sensing analytical tools. Detecting chiral molecules in low concentrations is crucially important to many fields of biology, chemistry, and pharmacy, as well as to the food and cosmetics industries, constituting a market of tens of billions of dollars.Read moreRead less
Feature Learning for High-dimensional Functional Time Series. This project aims to develop new methods and theories for common features on high-dimensional functional time series observed in empirical applications. The significance includes addressing a key gap in adaptive and efficient feature learning, improving forecasting accuracy and understanding forecasting-driven factors comprehensively for empirical data. Expected outcomes involve advances in big data theory and easy-to-implement algori ....Feature Learning for High-dimensional Functional Time Series. This project aims to develop new methods and theories for common features on high-dimensional functional time series observed in empirical applications. The significance includes addressing a key gap in adaptive and efficient feature learning, improving forecasting accuracy and understanding forecasting-driven factors comprehensively for empirical data. Expected outcomes involve advances in big data theory and easy-to-implement algorithms for applied researchers. This project benefits not only advanced manufacturing by finding optimal stopping time for wood panel compression, but also superior forecasting for mortality in demography, climate data in environmental science, asset returns in finance, and electricity consumption in economics. Read moreRead less
Auger, Quantum Electro-Dynamics, Axions and New Technology. New technology developed by Australia, Sweden and the United States will be applied to major questions about the application of relativistic quantum mechanics to atomic structure and dynamics and spectroscopy, especially including critical issues in quantum electro-dynamics for atomic physics and applications. Discrepancies in quantum electro-dynamics have dominated international debate for decades, with claimed explanations annually fa ....Auger, Quantum Electro-Dynamics, Axions and New Technology. New technology developed by Australia, Sweden and the United States will be applied to major questions about the application of relativistic quantum mechanics to atomic structure and dynamics and spectroscopy, especially including critical issues in quantum electro-dynamics for atomic physics and applications. Discrepancies in quantum electro-dynamics have dominated international debate for decades, with claimed explanations annually failing to reveal the cause. Also a pattern of discrepancies has been seen at X-ray energies in first row metal atoms, with a similar sign and magnitude. A combined experimental an theoretical investigation will aim to reveal new light on these anomalies and serve to develop our understanding of the universe.Read moreRead less