Author Correction: Atomistic Line Graph Neural Network for improved materials property predictions by Kamal Choudhary, Brian DeCost

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Why big data and compute are not necessarily the path to big materials science by Naohiro Fujinuma, Brian DeCost, Jason Hattrick-Simpers, Samuel E. Lofland

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A critical examination of robustness and generalizability of machine learning prediction of materials properties by Kangming Li, Brian DeCost, Kamal Choudhary, Michael Greenwood, Jason Hattrick-Simpers

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Exploiting redundancy in large materials datasets for efficient machine learning with less data by Kangming Li, Daniel Persaud, Kamal Choudhary, Brian DeCost, Michael Greenwood, Jason Hattrick-Simpers

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Publisher Correction: Exploiting redundancy in large materials datasets for efficient machine learning with less data by Kangming Li, Daniel Persaud, Kamal Choudhary, Brian DeCost, Michael Greenwood, Jason Hattrick-Simpers

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Structure-aware graph neural network based deep transfer learning framework for enhanced predictive analytics on diverse materials datasets by Vishu Gupta, Kamal Choudhary, Brian DeCost, Francesca Tavazza, Carelyn Campbell, Wei-keng Liao, Alok Choudhary, Ankit Agrawal

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Accelerating defect predictions in semiconductors using graph neural networks by Md Habibur Rahman, Prince Gollapalli, Panayotis Manganaris, Satyesh Kumar Yadav, Ghanshyam Pilania, Brian DeCost, Kamal Choudhary, Arun Mannodi-Kanakkithodi

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Probing out-of-distribution generalization in machine learning for materials by Kangming Li, Andre Niyongabo Rubungo, Xiangyun Lei, Daniel Persaud, Kamal Choudhary, Brian DeCost, Adji Bousso Dieng, Jason Hattrick-Simpers

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