Sort by
Refine Your Search
-
complex instruments and run simulations to accelerate discovery. This involves navigating vast parameter spaces, identifying rare or transient phenomena, and dramatically optimizing the use of precious
-
(e.g., electrochemical and optical sensors) for molten salts, the development of innovative processes and technologies for recycling actinides to support sustainable fuel cycles, and the application
-
(microelectromechanical systems) devices for X-ray optics at synchrotron radiation sources. Some background of the project is given in the publications listed below. The idea is to make highly nonlinear MEMS-based
-
., optical coherence tomography and X-ray imaging). The project will include exploring new membrane materials, exploring degradation mitigation strategies, and guiding next-generation membrane design for
-
-aware multi-modal deep learning (DL) methods. At Argonne, we are developing physics-aware DL models for scientific data analysis, autonomous experiments and instrument tuning. By incorporating prior
-
closely related fields. Experience in some of the following topics: isotope analysis, mass spectrometry, laser spectroscopy, laser cooling and trapping of neutral atoms, non-linear optics, and ultra-high