Machine learning enhanced ultra-high vacuum system for predicting field emission performance in graphene reinforced aluminium based metal matrix composites.
- DOI
- 10.1038/s41598-025-10946-7
- Published
- 2025 Jul 21
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-10946-7,
title = {Machine learning enhanced ultra-high vacuum system for predicting field emission performance in graphene reinforced aluminium based metal matrix composites.},
author = {Pradhan SK and Kabiraj S and Gupta SK and Singh A and Chavan PG and Patil SS and Pandey TN},
year = {2025},
journal = {Scientific reports},
doi = {10.1038/s41598-025-10946-7},
url = {https://doi.org/10.1038/s41598-025-10946-7}
}RIS
TY - JOUR TI - Machine learning enhanced ultra-high vacuum system for predicting field emission performance in graphene reinforced aluminium based metal matrix composites. AU - Pradhan SK AU - Kabiraj S AU - Gupta SK AU - Singh A AU - Chavan PG AU - Patil SS AU - Pandey TN PY - 2025 JO - Scientific reports DO - 10.1038/s41598-025-10946-7 UR - https://doi.org/10.1038/s41598-025-10946-7 ER -
APA
SK, P., S, K., SK, G., A, S., PG, C., SS, P., & TN, P. (2025). Machine learning enhanced ultra-high vacuum system for predicting field emission performance in graphene reinforced aluminium based metal matrix composites.. Scientific reports. https://doi.org/10.1038/s41598-025-10946-7
Source records
- pubmed · retrieved 2026-09-27T00:21:55.601Z