Ye Wei

发表

Convolutional neural network-assisted recognition of nanoscale L12 ordered structures in face-centred cubic alloys

Yue Li, Xuyang Zhou, Timoteo Colnaghi, 2021, npj Computational Materials.

Crystal–Glass High‐Entropy Nanocomposites with Near Theoretical Compressive Strength and Large Deformability

Jian Lu, M. Herbig, D. Raabe, 2020, Advanced materials.

A mechanically strong and ductile soft magnet with extremely low coercivity

D. Raabe, B. Gault, Ye Wei, 2022, Nature.

Ultrastrong and Ductile Soft Magnetic High‐Entropy Alloys via Coherent Ordered Nanoprecipitates

D. Ponge, D. Raabe, Ge Wu, 2021, Advanced materials.

Machine learning–enabled high-entropy alloy discovery

D. Ponge, D. Raabe, F. Körmann, 2022, Science.

3D nanostructural characterisation of grain boundaries in atom probe data utilising machine learning methods

Ye Wei, Zirong Peng, Markus Kühbach, 2019, PloS one.

Quantitative three-dimensional imaging of chemical short-range order via machine learning enhanced atom probe tomography

B. Gault, Yue Li, Xuyang Zhou, 2022 .

Machine-learning-based atom probe crystallographic analysis.

Ye Wei, Michael Herbig, Baptiste Gault, 2018, Ultramicroscopy.

Machine-learning-enhanced time-of-flight mass spectrometry analysis pdf

Huan Zhao, Hao Chen, Geng Liu, 2020, Patterns.

Machine learning-enabled tomographic imaging of chemical short-range atomic ordering

M. Wuttig, B. Gault, B. Gan, 2023, 2303.13433.

Revealing in-plane grain boundary composition features through machine learning from atom probe tomography data

D. Raabe, B. Gault, Xuyang Zhou, 2021, Acta Materialia.