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Atomistic Line Graph Neural Network for improved materials property predictions
Engineering and Technologynpj Computational Materials

Atomistic Line Graph Neural Network for improved materials property predictions

K. Choudhary and B. Decost

Explore the cutting-edge research by Kamal Choudhary and Brian DeCost, who have introduced the Atomistic Line Graph Neural Network (ALIGNN). This innovative model enhances atomistic material representation by integrating crucial bond angle information, leading to superior predictions of solid-state and molecular properties across multiple databases.... show more
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Citations
690
Influential Citations
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Reference Count
72
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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