TY  - JOUR

T1  - Classification of defects in additively manufactured nickel alloys using supervised machine learning

JO  - Materials Science and Technology

UR  - https://eprints.whiterose.ac.uk/id/eprint/231983

PY  - 2023/11/01

AU  - Aziz U

AU  - Bradshaw A

AU  - Lim J

AU  - Thomas M

ED  - 

DO  - DOI: 10.1080/02670836.2023.2207337

PB  - SAGE Publications

VL  - 39

IS  - 16

SP  - 2464

EP  - 2468

Y2  - 2025/11/27

ER  -