Institute of Solid State Physics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, China Jun Liu Contributions G.W. supervised this project. Y.F., C.W., and G.W. designed this project. Y.F., X.Y., P.C. and S.N. collected the electrochemical data....
17,18,19. In the regime\({{{\rm{Re}}}_{\alpha }\gg 1\)and Ro ≪ 1, quantized vortices are nearly parallel and inter-vortex reconnections are suppressed20, exposing the underlying wave-turbulent energy cascade to experimental observation. At the largest length scales...
Department of Physics, University of Helsinki, Helsinki, Finland Joni Vuorio & Ilpo Vattulainen Institute of Biomedicine, University of Turku, FI-20520, Turku, Finland Pekka Roivas, Ulla Pentikäinen & Marko Salmi Faculty of Science and Engineering, Cell Biology, Åbo Akademi University, FI-...
Department of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, VA, USA Gloria Sheynkman Department of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, VA, USA Gloria Sheynkman Center for Public Health Genomics, University of Virginia, Charlo...
A body at the centre of the universe can have no inclination to move; thus, it became a question in subsequent discussions of Aristotle’s physics whether it really is an internal principle rather than place that is the cause of elemental motion [4]. Third, the criterion of self-motion ...
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Close-in giant exoplanets with temperatures greater than 2,000 K (‘ultra-hot Jupiters’) have been the subject of extensive efforts to determine their atmospheric properties using thermal emission measurements from the Hubble Space Telescope (HST) and Spitzer Space Telescope1,2,3. However, previ...
Physics-informed machine learning prediction of the martensitic transformation temperature for the design of ‘NiTi-like’ high entropy shape memory alloys. Comput. Mater. Sci. 231, 112578 (2024). Article CAS Google Scholar Akrami, S. et al. Defective high-entropy oxide photocatalyst with high ...
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MULTINEST: an efficient and robust Bayesian inference tool for cosmology and particle physics. Mon. Not. R. Astron. Soc. 398, 1601–1614 (2009). Article ADS Google Scholar Buchner, J. et al. X-ray spectral modelling of the AGN obscuring region in the CDFS: Bayesian model selection and ...