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Ye Wei

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Related publications (5)

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3D deep learning for enhanced atom probe tomography analysis of nanoscale microstructures

Ye Wei

Quantitative analysis of microstructural features on the nanoscale, including precipitates, local chemical orderings (LCOs) or structural defects (e.g. stacking faults) plays a pivotal role in understanding the mechanical and physical responses of engineer ...

2024

Machine learning enhanced atom probe tomography analysis

Ye Wei

Atom probe tomography (APT) is a burgeoning characterization technique that provides compositional mapping of materials in three-dimensions at near-atomic scale. Since its significant expansion in the past 30 years, we estimate that one million APT dataset ...

2026

Machine Learning-Enabled Tomographic Imaging of Chemical Short-Range Atomic Ordering

Ye Wei

In solids, chemical short-range order (CSRO) refers to the self-organization of atoms of certain species occupying specific crystal sites. CSRO is increasingly being envisaged as a lever to tailor the mechanical and functional properties of materials. Yet ...

Wiley2024

Deformation response of highly stretchable and ductile graphene kirigami under uniaxial and biaxial tension

Ye Wei, Yao Chen

Kirigami, the ancient technique of paper cutting, has been successfully applied to enhance the stretchability and ductility of nanoscale graphene. However, existing experimentally realized graphene kirigami (GK) are created by introducing parallel cuts, ex ...

Amer Physical Soc2023

Roadmap on data-centric materials science

Ye Wei

Science is and always has been based on data, but the terms ‘data-centric’ and the ‘4th paradigm’ of materials research indicate a radical change in how information is retrieved, handled and research is performed. It signifies a transformative shift toward ...

2024