Concepedia

Predicting oxidation damage in ultra high-temperature borides: A machine learning approach

Giuseppe Bianco, Ambreen Nisar, Cheng Zhang, Benjamin Boesl, Arvind Agarwal

Ceramics International · 2022 · 19 citations · 25 references

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References

25

Random decision forests

Tin Kam Ho · 2002 · 5K citations

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Recent advances and applications of machine learning in solid-state materials science

Jonathan Schmidt, Mário R. G. Marques, Silvana Botti et al. · npj Computational Materials · 2019 · 2.4K citations · Full text

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Evaluation of ultra-high temperature ceramics foraeropropulsion use

Stanley R. Levine, Elizabeth J. Opila, Michael C. Halbig et al. · Journal of the European Ceramic Society · 2002 · 802 citations

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Artificial Intelligence in Advanced Manufacturing: Current Status and Future Outlook

Jorge Arinez, Qing Chang, Robert X. Gao et al. · Journal of Manufacturing Science and Engineering · 2020 · 523 citations · Full text

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Evolution of structure during the oxidation of zirconium diboride–silicon carbide in air up to 1500°C

Alireza R. Rezaie, William G. Fahrenholtz, Gregory E. Hilmas · Journal of the European Ceramic Society · 2006 · 360 citations

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