Results 101 to 110 of about 9,469 (260)
Advanced Energy Materials, EarlyView.P2‐type sodium layered oxides have potential for high‐voltage operation but suffer from structural instability and capacity fading. This work demonstrates that synergistic Li and Ti co‐doping enhances sodium inventory, suppresses detrimental phase transitions, and activates reversible lattice oxygen redox.
Rishika Jakhar +16 more
wiley +1 more source
Resolving Exo-Continents with Einstein Ring Deconvolution
, 2020 17 pages, 10 figures.
openaire +2 more sources
Advanced Energy Materials, EarlyView.A fluorinated cyclic ether, FDOL, is shown to stabilize Mg metal anodes by tuning Mg2+ solvation of the G2 electrolyte. The G2‐FDOL electrolyte suppresses passivation and thick, diffusion‐blocking Mg deposits, enabling more uniform Mg plating/stripping and sustained interfacial reactions.
Hafiz Ahmad Ishfaq +9 more
wiley +1 more source
European Physical Journal C: Particles and FieldsWe investigated the shadows and thin accretion disks of Einstein–Maxwell-Scalar (EMS) black hole. Firstly, we investigated the influence of EMS parameters on the black hole shadow using the null geodesic method and constrained these parameters based on ...
Yingdong Wu +4 more
doaj +1 more source
DiagnosticsBiomarkers are crucial in cancer diagnostics, prognosis, and surveillance. Extensive research has been dedicated to identifying biomarkers that are broadly applicable across multiple cancer types and can be easily obtained from routine investigations ...
Defne Cigdem Koc +3 more
doaj +1 more source
Cosmic shear with Einstein rings
Cosmic shear is a key probe of modern cosmology. Amongst its challenges are shape noise and intrinsic alignments, both due to our ignorance of the unlensed shape of the source galaxies. I argue here that Einstein rings may be used as standard shapes to measure the external shear along their line of sight.
openaire +3 more sources
, 2011 Albert Einstein predicted the existence of ‘Einstein rings’ as a consequence of his general theory of relativity. The phenomenon is a direct result of the idea that if a mass warps space-time then light (and other electromagnetic waves) will be ‘lensed’ by the strong gravitational field produced by a large cosmological body such as a galaxy. Since 1998,
openaire +3 more sources
Advanced Intelligent Discovery, EarlyView.Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez +4 more
wiley +1 more source