Machine Learning-based Crystal Structure Prediction for X-Ray Microdiffraction
نویسندگان
چکیده
منابع مشابه
Magnetic x-ray microdiffraction
Magnetic x-ray microdiffraction uses the structural specificity of x-ray diffraction to probe complex magnetic structures at the length scales relevant to physical phenomena including domain dynamics and phase transitions. Conventional magnetic crystallography techniques such as neutron or x-ray diffraction lack this spatial resolution. The combination of both reciprocal space and real space re...
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Polycapillary optics, i.e. shaped arrays consisting of hundreds of thousands of hollow glass capillary tubes, can be used to redirect, collimate or focus X-ray beams. X-rays emitted over a large angular range from conventional laboratory-based sources can be transformed into a beam with a small angular divergence or focused onto a small sample or sample area. Convergent beams of X-rays, with co...
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We trace the historical development of W. L. Bragg's `law' and the key experimental observation which made it possible using polychromatic radiation at a time when neither X-ray wavelengths nor cell constants were known. This led, through his phasing and solving large mineral structures (without use of a computer), to work on metals, proteins, bubble rafts and his X-ray microscope. The relation...
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In the crystal structure of the title polymeric compound, [C42H38N6O33Sr5.2(H2O)]n, five independent metal atoms (Sr1-Sr5) have different coordination environments. The Sr1 and Sr5 atoms are nine coordinated and feature distorted tricapped trigonal-prismatic and capped square-antiprismatic geometries, respectively....
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ژورنال
عنوان ژورنال: Microscopy and Microanalysis
سال: 2018
ISSN: 1431-9276,1435-8115
DOI: 10.1017/s1431927618013107