Machine learning modeling of superconducting critical temperature

Machine learning modeling of superconducting critical temperature

8 September 2017

Efrain Rodriguez

Ichiro Takeuchi

Papers citing "Machine learning modeling of superconducting critical temperature"

14 / 14 papers shown

Title
Discovery of sustainable energy materials via the machine-learned material space Malte Grunert Max Großmann Erich Runge 46 0 0 10 Jan 2025
Deep Learning Based Superconductivity: Prediction and Experimental Tests Daniel Kaplan Adam Zhang Joanna Blawat Rongying Jin R. J. Cava Viktor Oudovenko Gabriel Kotliar Anirvan M. Sengupta Weiwei Xie AI4CE 68 1 0 17 Dec 2024
Gradient Aligned Regression via Pairwise Losses Dixian Zhu Tianbao Yang Livnat Jerby-Arnon 34 0 0 08 Feb 2024
Investigation on Machine Learning Based Approaches for Estimating the Critical Temperature of Superconductors Fatin Abrar Shams Rashed Hasan Ratul Ahnaf Islam Naf Syed Shaek Hossain Samir M. M. Nishat Fahim Faisal Md. Murshadul Hoque 21 9 0 02 Aug 2023
S2SNet: A Pretrained Neural Network for Superconductivity Discovery Ke Liu Kaifan Yang Jiahong Zhang Renjun Xu 22 6 0 28 Jun 2023
Interpretable models for extrapolation in scientific machine learning Eric S. Muckley J. Saal B. Meredig C. Roper James H. Martin 26 34 0 16 Dec 2022
Prediction of superconducting properties of materials based on machine learning models Jieying Hu Yongquan Jiang Yan Yang Houchen Zuo 6 0 0 06 Nov 2022
Automatic extraction of materials and properties from superconductors scientific literature Luca Foppiano P. B. Castro Pedro Ortiz Suarez K. Terashima Y. Takano Masashi Ishii 38 12 0 26 Oct 2022
Artificial Intelligence in Material Engineering: A review on applications of AI in Material Engineering Lipichanda Goswami Manoj Deka Mohendra Roy AI4CE 42 19 0 15 Sep 2022
Prediction of Large Magnetic Moment Materials With Graph Neural Networks and Random Forests Sekouba Kaba Benjamin Groleau-Paré Marc-Antoine Gauthier A. Tremblay S. Verret C. Gauvin-Ndiaye AI4CE 16 10 0 29 Nov 2021
A Physics-Informed Machine Learning Model for Porosity Analysis in Laser Powder Bed Fusion Additive Manufacturing Rui Liu Sen Liu Xiaoli Zhang AI4CE 13 84 0 13 Jan 2021
$Machine Learning Guided Discovery of Gigantic Magnetocaloric Effect in HoB$_{2}$ Near Hydrogen Liquefaction Temperature$ Machine Learning Guided Discovery of Gigantic Magnetocaloric Effect in HoB $_{2}$ Near Hydrogen Liquefaction Temperature P. B. Castro K. Terashima Takafumi D. Yamamoto Z. Hou Suguru Iwasaki ... S. Adachi Yoshito Saito Peng Song H. Takeya Y. Takano AI4CE 17 117 0 12 May 2020
Physics-informed machine learning for composition-process-property alloy design: shape memory alloy demonstration Sen Liu B. Kappes B. Amin-ahmadi O. Benafan Xiaoli Zhang A. Stebner AI4CE 16 5 0 04 Mar 2020
Machine Learning based prediction of noncentrosymmetric crystal materials Yuqi Song Joseph Lindsay Yong Zhao Alireza Nasiri Steph-Yves M. Louis Jie Ling Ming Hu Jianjun Hu 23 21 0 26 Feb 2020