2013
DOI: 10.3938/jkps.63.401
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Effect of a carbon additive on the TbCu7-type melt-spun Sm(Co, M)7 (M=Ti, Zr, Hf, V and Ge) ribbons

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Cited by 5 publications
(2 citation statements)
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“…From the abovementioned MGI database of Sm-Co materials, a data set of saturation magnetization was extracted (which is provided in Section S1 in the Supporting Information), and it contains data of 214 kinds of materials from various resources published in 40 years from 1978 to 2018. ,,,, The information related to saturation magnetization includes the Sm-Co matrix with a certain atomic ratio ( x matrix = ( x Co + x M )/ x Sm ), doping element (denoted as “M”), doping concentration ( x doping = x M / x Co ), processing of material ( C proc ), form of the material for testing ( C form ), grain size ( d ), and so on. It is known that, for a data set, machine learning can generate a predictive model, which can be applied to design new materials.…”
Section: Resultsmentioning
confidence: 99%
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“…From the abovementioned MGI database of Sm-Co materials, a data set of saturation magnetization was extracted (which is provided in Section S1 in the Supporting Information), and it contains data of 214 kinds of materials from various resources published in 40 years from 1978 to 2018. ,,,, The information related to saturation magnetization includes the Sm-Co matrix with a certain atomic ratio ( x matrix = ( x Co + x M )/ x Sm ), doping element (denoted as “M”), doping concentration ( x doping = x M / x Co ), processing of material ( C proc ), form of the material for testing ( C form ), grain size ( d ), and so on. It is known that, for a data set, machine learning can generate a predictive model, which can be applied to design new materials.…”
Section: Resultsmentioning
confidence: 99%
“…In this respect, we spent over 10 years building up a specific database for Sm-Co systems, which contains both experimental and computational data for ∼1050 alloys published in the literature for decades, and some of them are used as references in this work. ,,,− More importantly, we embedded in the database the related information search regarding composition, processing, microstructure, properties, and references of the material, which is unique from other material databases. The above specialized database may be considered as a “Materials Genome Initiative (MGI) , database of Sm-Co materials” according to its characteristics.…”
Section: Introductionmentioning
confidence: 99%