3D phase-field simulations to machine-learn 3D information from 2D micrographs
A novel approach is developed to support retrieval of 3D information from 2D experimental
micrographs. The approach utilizes 3D phase-field simulations to train an artificial …
micrographs. The approach utilizes 3D phase-field simulations to train an artificial …
Interface diffusion behavior of machining NiFeCo/Cu polycrystalline/single-crystal multilayers
NiFeCo/Cu has excellent magnetoresistive properties and is a crucial magnetic material.
However, its plastic deformation and microstructural behavior under nano-cutting remain …
However, its plastic deformation and microstructural behavior under nano-cutting remain …
Prediction of creep properties of Co–10Al–9W superalloys with machine learning
Q Qin, Z Zhang, H Long, J Zhuo, Y Li - Journal of Materials Science, 2024 - Springer
Prediction of creep in superalloys is challenging due to the complex morphology evolution
and high-temperature loading conditions. Machine learning shows great potential in …
and high-temperature loading conditions. Machine learning shows great potential in …