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AI predicts material properties using electron-level information without costly quantum mechanical computations
Researchers in Korea have developed an artificial intelligence (AI) technology that predicts molecular properties by learning ...
Heaviest tin isotopes provide insights into element synthesis
An international team of researchers, led by scientists from GSI/FAIR in Darmstadt, Germany, has studied r-process ...
IEEE2d
Antimony based mid-infrared semiconductor materials and devices monolithically grown on silicon substrates - IEEE Xplore
III-V semiconductor heterostructures grown on GaSb and InAs substrates are widely used to produce high performance optoelectronic devices operating in the technologically important mid-infrared ...
C&EN3d
New Antimony-Based Organic–Inorganic Hybrid Material as Electron Extraction Layer for Efficient and Stable Polymer Solar Cells - ACS Publications
Hybrid organic–inorganic materials are a new class of materials used as interfacial layers (ILs) in polymer solar cells (PSCs). A hybrid material, composed of antimony as the inorganic part and ...
C&EN4d
Size-Dependent Structure Relations between Nanotubes and Encapsulated Nanocrystals
The structural organization of compounds in a confined space of nanometer-scale cavities is of fundamental importance for understanding the basic principles for atomic structure design at the ...