Predicting densities and elastic moduli of SiO2-based glasses by machine learning

Overview of attention for article published in npj Computational Materials, March 2020

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Predicting densities and elastic moduli of SiO2-based glasses by machine learning #npjcompumats https://t.co/FGlSmjwRJT https://t.co/YynkLUb6hG

機械学習によるSiO2ベースのガラスの密度と弾性係数の予測　MDシミュレーションと機械学習(勾配ブーストマシンGBM-LASSO)との組合せにより、未探索の組成領域のガラス密度と弾性特性を、迅速、低コストかつ定量的に推定し、組成特性データベースを構築した。Webアプリあり。h…

Predicting densities and elastic moduli of SiO2-based glasses by machine learning https://t.co/4IBeEEvSOQ https://t.co/Icm6VGvse5

Predicting densities and elastic moduli of SiO2-based glasses by machine learning https://t.co/rkr2dXSull

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