Machine learning enhanced ultra-high vacuum system for predicting field emission performance in graphene reinforced aluminium based metal matrix composites

Machine learning enhanced ultra-high vacuum system for predicting field emission performance in graphene reinforced aluminium based metal matrix composites

Abstract The field emission performance of aluminium-based metal matrix composites reinforced with graphene (AlGr-MMCs) has garnered significant attention due to their potential applications in advanced electronics and in materials-based cathode systems. The field emission performance plays a crucia...

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Bibliographic Details
Main Authors: Sunil Kumar Pradhan, Subhayu Kabiraj, Shivin Kumar Gupta, Abhishek Singh, Padmakar G. Chavan, Shubham S. Patil, Trilok Nath Pandey
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Field emission performance
Emission current stability
Graphene reinforced aluminum composites
Machine learning prediction
Ultra-high vacuum system
Online Access:https://doi.org/10.1038/s41598-025-10946-7
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https://doi.org/10.1038/s41598-025-10946-7

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