Regression model for predicting selected thermal properties of next-generation bioactive glasses

BreedS.M.; HallM.M.

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Regression model for predicting selected thermal properties of next-generation bioactive glasses

机译：预测下一代生物活性玻璃热性能的回归模型

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The compositional palette traditionally used to develop bioactive glasses has grown in recent times to include therapeutic inorganic species such as zinc and strontium. Historical regression models used for predicting the properties of bioactive glasses as a function of composition have not evolved to consider this expanded compositional space. In this work, nonlinear regression analysis was applied to historical data to construct predictive models for the glass transition temperature and the coefficient of thermal expansion of next-generation bioactive glasses. The new regression models also provide some degree of improvement over existing models in predicting the properties of traditional bioactive glasses.

机译：传统上用于开发生物活性玻璃的成分调色板最近已经增长，包括治疗性无机物，例如锌和锶。用于预测生物活性玻璃的特性随成分变化的历史回归模型尚未演化为考虑这种扩大的成分空间。在这项工作中，将非线性回归分析应用于历史数据，以构建玻璃化转变温度和下一代生物活性玻璃的热膨胀系数的预测模型。新的回归模型还比现有模型在预测传统生物活性玻璃的性能方面提供了一定程度的改进。

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《Acta biomaterialia》 |2012年第6期|共7页
作者
BreedS.M.; HallM.M.;
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原文格式 PDF
正文语种 eng
中图分类普通生物学;
关键词
Bioactive glass; Glass transition temperature; Regression analysis; Thermal expansion coefficient; Thermal properties;

机译：生物活性玻璃;玻璃化温度;回归分析;热膨胀系数;热性能;

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1. Regression model for predicting selected thermal properties of next-generation bioactive glasses [J] . BreedS.M., HallM.M. Acta biomaterialia . 2012,第6期

机译：预测下一代生物活性玻璃热性能的回归模型
2. Role of magnesium oxide and strontium oxide as modifiers in silicate-based bioactive glasses: Effects on thermal behaviour, mechanical properties and in-vitro bioactivity [J] . Devis Bellucci, Antonella Sola, Roberta Salvatori, Materials science & engineering . 2017,第mara期

机译：氧化镁和氧化锶在基于硅酸盐的生物活性玻璃中作为改性剂的作用：对热行为，机械性能和体外生物活性的影响
3. Role of magnesium oxide and strontium oxide as modifiers in silicate-based bioactive glasses: Effects on thermal behaviour, mechanical properties and in-vitro bioactivity [J] . Devis Bellucci, Antonella Sola, Roberta Salvatori, Materials science & engineering, C. Materials for Biogical applications . 2017,第期

机译：氧化镁和氧化锶的作用作为硅酸盐的生物活性玻璃中的改性剂：对热行为，机械性能和体外生物活性的影响
4. RARE-EARTH DOPED FLUOROCHLOROZIRCONATE (FCZ) GLASSES AND GLASS-CERAMICS: SELECTED THERMAL PROPERTIES AND X-RAY LUMINESCENCE IN SAMARIUM DOPED FCZ [C] . D. TONCHEV, G. BELEV, S. PANIGRAHI, NATO Advanced Study Institute on Nanostructured Materials for Advanced Technological Applications . 2009

机译：稀土掺杂氟氯基硅酸盐（FCZ）玻璃和玻璃陶瓷：钐掺杂FCZ中的选定热性质和X射线发光
5. Utilizing the multivariate reduced rank regression model for selecting predictors in linear multivariate regression [D] . Al-Subaihi, Ali Ahmed. 2000

机译：利用多元降阶回归模型在线性多元回归中选择预测变量
6. Selecting Modeling Techniques for Outcome Prediction: Comparison of Artificial Neural Networks Classification and Regression Trees and Linear Regression Analysis for Predicting Medical Rehabilitation Outcomes [O] . Deborah K. W. Walters, Richard T. Linn, Margaret Kulas, 1999

机译：预测结果的建模技术选择：人工神经网络分类和回归树的比较以及用于预测医疗康复结果的线性回归分析
7. Ag-doped phosphate bioactive glasses: thermal, structural and in-vitro dissolution properties [O] . Mishra A., Rocherullé J., Massera J. 2016

机译：ag掺杂磷酸盐生物活性玻璃：热，结构和体外溶出特性
8. Integrated thermal-microstructure model to predict the property gradients in resistance spot steel welds [R] . Babu, S. S. , Riemer, B. W. , Santella, M. L. , 1998

机译：综合热 - 微观结构模型预测电阻点钢焊缝的性能梯度

Regression model for predicting selected thermal properties of next-generation bioactive glasses

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