用神经网络分析预测复杂晶体的非中心晶体结构

2009 International Conference and Seminar on Micro/Nanotechnologies and Electron Devices Pub Date : 2009-07-01 DOI:10.1109/EDM.2009.5173916

A. Korotkov, V. Atuchin

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引用次数: 0

摘要

神经网络分析作为一种预测晶体结构偏心度的工具进行了试验。定义一组输入参数，以高达80%的概率给出预测。将神经网络应用于新型二元无中心钼酸盐的预测。

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Prediction of acentric crystal structure of complex crystals by neural net analysis

Neural net analysis is tested as a tool for prediction of acentricity of crystal structure. A set of input parameters is defined that gives the prediction with as high probability as ∼80%. The neural net is used for prediction of new binary acentric molybdates.

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2009 International Conference and Seminar on Micro/Nanotechnologies and Electron Devices

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