Yuebin Guo

Emailyg387rutgersedu

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120 Article
81 Conference contribution
29 Conference article
13 Paper
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On the probabilistic prediction for extreme geometrical defects induced by laser-based powder bed fusion
Kousoulas, P. & Guo, Y. B., Apr 2023, In: CIRP Journal of Manufacturing Science and Technology. 41, p. 124-134 11 p.
Research output: Contribution to journal › Article › peer-review
COMPUTATIONAL MODELING AND PHYSICS-INFORMED MACHINE LEARNING OF METAL ADDITIVE MANUFACTURING: STATE-OF-THE-ART AND FUTURE PERSPECTIVE
Sharma, R. & Guo, Y. B., 2022, Annual Review of Heat Transfer. 1 ed. Begell House Inc., p. 303-337 35 p. (Annual Review of Heat Transfer; vol. 24, no. 1).
Research output: Chapter in Book/Report/Conference proceeding › Chapter
Machine learning for metal additive manufacturing: Towards a physics-informed data-driven paradigm
Guo, S., Agarwal, M., Cooper, C., Tian, Q., Gao, R. X., Guo, W. G. & Guo, Y. B., Jan 2022, In: Journal of Manufacturing Systems. 62, p. 145-163 19 p.
Research output: Contribution to journal › Review article › peer-review

Open Access
22 Scopus citations
Texture-Aware Ridgelet Transform and Machine Learning for Surface Roughness Prediction
Cooper, C., Zhang, J., Hu, L., Guo, Y. & Gao, R. X., 2022, In: IEEE Transactions on Instrumentation and Measurement. 71, 2520110.
Research output: Contribution to journal › Article › peer-review
Gaussian Process (GP)-based Learning Control of Selective Laser Melting Process
Asadi, F., Olleak, A., Yi, J. & Guo, Y., May 25 2021, 2021 American Control Conference, ACC 2021. Institute of Electrical and Electronics Engineers Inc., p. 508-513 6 p. 9483137. (Proceedings of the American Control Conference; vol. 2021-May).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
6 Scopus citations

Yuebin Guo

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On the probabilistic prediction for extreme geometrical defects induced by laser-based powder bed fusion

COMPUTATIONAL MODELING AND PHYSICS-INFORMED MACHINE LEARNING OF METAL ADDITIVE MANUFACTURING: STATE-OF-THE-ART AND FUTURE PERSPECTIVE

Machine learning for metal additive manufacturing: Towards a physics-informed data-driven paradigm

Texture-Aware Ridgelet Transform and Machine Learning for Surface Roughness Prediction

Gaussian Process (GP)-based Learning Control of Selective Laser Melting Process

Yuebin Guo

Fingerprint

Network

Research output

On the probabilistic prediction for extreme geometrical defects induced by laser-based powder bed fusion

COMPUTATIONAL MODELING AND PHYSICS-INFORMED MACHINE LEARNING OF METAL ADDITIVE MANUFACTURING: STATE-OF-THE-ART AND FUTURE PERSPECTIVE

Machine learning for metal additive manufacturing: Towards a physics-informed data-driven paradigm

Texture-Aware Ridgelet Transform and Machine Learning for Surface Roughness Prediction

Gaussian Process (GP)-based Learning Control of Selective Laser Melting Process