Prediction of Wear Rate in Al/SiC Metal Matrix Composites Using a Neurosymbolic Artificial Intelligence (NSAI)-Based Algorithm

Akshansh Mishra, Vijaykumar S. Jatti

Open source

DOI: 10.3390/lubricants11060261
Published: 06
Container: Lubricants
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/lubricants11060261,
  title = {Prediction of Wear Rate in Al/SiC Metal Matrix Composites Using a Neurosymbolic Artificial Intelligence (NSAI)-Based Algorithm},
  author = {Akshansh Mishra and Vijaykumar S. Jatti},
  year = {2023},
  journal = {Lubricants},
  doi = {10.3390/lubricants11060261},
  url = {https://doi.org/10.3390/lubricants11060261}
}

RIS

TY  - JOUR
TI  - Prediction of Wear Rate in Al/SiC Metal Matrix Composites Using a Neurosymbolic Artificial Intelligence (NSAI)-Based Algorithm
AU  - Akshansh Mishra
AU  - Vijaykumar S. Jatti
PY  - 2023
JO  - Lubricants
DO  - 10.3390/lubricants11060261
UR  - https://doi.org/10.3390/lubricants11060261
ER  -

APA

Mishra, A., & Jatti, V. S. (2023). Prediction of Wear Rate in Al/SiC Metal Matrix Composites Using a Neurosymbolic Artificial Intelligence (NSAI)-Based Algorithm. Lubricants. https://doi.org/10.3390/lubricants11060261

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doaj · retrieved 2026-09-26T16:14:09.958Z