稳健性(进化)
电介质
介电常数
计算机科学
线性回归
聚合物
数量结构-活动关系
回归分析
介电常数
极化(电化学)
系列(地层学)
生物系统
算法
数据挖掘
机器学习
材料科学
化学
光电子学
古生物学
生物化学
物理化学
生物
复合材料
基因
作者
Yevhenii Zhuravskyi,Kweeni Iduoku,Meade Erickson,Anas Karuth,Durbek Usmanov,Gerardo M. Casañola‐Martín,Maqsud Sayfiyev,Dilshod Ziyaev,З. А. Сманова,Bakhtiyor Rasulev
标识
DOI:10.26434/chemrxiv-2023-rn7s5
摘要
Dielectric constant is a value, that is widely applied in many scientific fields, and characterizes the degree of polarization of substances under the external electric field. In this work, a structure-property relationship of dielectric constants (ε) for a diverse set of polymers was investigated. A transparent mechanistic model was developed with application of a genetic algorithm combined with multiple linear regression analysis (GA-MLRA), to get a mechanistically explainable and transparent model. Based on the evaluation conducted using various validation criteria, four- and eight-variable models were proposed. Obtained statistical performance results and selected descriptors in the best models were analyzed and discussed. With the validation procedures applied the models were proven to have a good predictive ability and robustness.
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