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Machine-learning structural reconstructions for accelerated point defect calculations
Engineering and Technologynpj Computational Materials

Machine-learning structural reconstructions for accelerated point defect calculations

I. Mosquera-lois, S. R. Kavanagh, et al.

Discover how Irea Mosquera-Lois, Seán R. Kavanagh, Alex M. Ganose, and Aron Walsh have leveraged machine-learning to revolutionize the analysis of defects in materials. Their innovative approach predicts stable geometries for neutral point defects with a remarkable success rate, drastically reducing computational costs and accelerating research in complex systems.... show more
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Citations
37
Influential Citations
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Reference Count
139
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Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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