Predicting oxidation damage of ultra high-temperature carbide ceramics in extreme environments using machine learning G Bianco, A Nisar, C Zhang, B Boesl, A Agarwal Ceramics International 49 (12), 19974-19981, 2023 | 8 | 2023 |
A critical analysis of the parameters affecting the oxidation behavior of ultra‐high‐temperature diboride ceramics G Bianco, A Nisar, C Zhang, B Boesl, A Agarwal Journal of the American Ceramic Society 105 (3), 1939-1953, 2022 | 8 | 2022 |
Predicting oxidation damage in ultra high-temperature borides: A machine learning approach G Bianco, A Nisar, C Zhang, B Boesl, A Agarwal Ceramics International 48 (20), 29763-29769, 2022 | 7 | 2022 |
Nanoindentation mapping defects filtration for heterogeneous materials using generative adversarial networks G Bianco, T Paul, A Nisar, A Hamrani, B Boesl, A Agarwal Materials Characterization 191, 112107, 2022 | 4 | 2022 |
Using High-Speed Imaging and Machine Learning to Capture Ultrasonic Treatment Cavitation Area at Different Amplitudes B Aguiar, PG Bianco, A Agarwal | | 2021 |