SharePrediction of transition temperature for YBCO doped with calcium using neural network.
Author(s) : ASADA Y., NAKADA E., MATSUMOTO S., UESAKA H.
Type of article: Article
Summary
In order to predict the superconducting transition temperature of YBCO doped with calcium, the authors have constructed a neural network which is composed of three layers; they considered 28 constituent elements and their concentration in the input layer to provide transition temperature in the output layer.
Details
- Original title: Prediction of transition temperature for YBCO doped with calcium using neural network.
- Record ID : 1998-2700
- Languages: English
- Source: J. Supercond. - vol. 10 - n. 1
- Publication date: 1997/02
- Document available for consultation in the library of the IIR headquarters only.
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