Data-driven evaluation of fatigue performance of additive manufactured parts using miniature specimens
This overview firstly introduces the state-of-the-art research progress in length scale-related
fatigue performance of conventionally-fabricated metals evaluated by miniature specimens …
fatigue performance of conventionally-fabricated metals evaluated by miniature specimens …
Machine-learning-based prediction of corrosion behavior in additively manufactured Inconel 718
OV Mythreyi, MR Srinivaas, T Amit Kumar… - Data, 2021 - mdpi.com
This research work focuses on machine-learning-assisted prediction of the corrosion
behavior of laser-powder-bed-fused (LPBF) and postprocessed Inconel 718. Corrosion …
behavior of laser-powder-bed-fused (LPBF) and postprocessed Inconel 718. Corrosion …
[PDF][PDF] PREDICTING AND OPTIMIZING ORGANIC MATERIAL PROPERTIES WITH QUANTUM MACHINE LEARNING (QML) FOR EFFICIENT OLEDs DEVELOPMENT
JRD NDONFACK - 2023 - indico.cern.ch
Nowadays, the world's electricity consumption is heavily used for lighting and display
purposes. The current technology, which is dominated by liquid crystal displays (LCD) and …
purposes. The current technology, which is dominated by liquid crystal displays (LCD) and …