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Ye Wei
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Machine learning-enabled high-entropy alloy discovery
Z Rao, PY Tung, R Xie, Y Wei*, H Zhang, A Ferrari, TPC Klaver, ...
Science 378 (6615), 78-85, 2022
1622022
A mechanically strong and ductile soft magnet with extremely low coercivity
L Han, F Maccari, IR Souza Filho, NJ Peter, Y Wei, B Gault, O Gutfleisch, ...
Nature 608 (7922), 310-316, 2022
892022
Ultrastrong and ductile soft magnetic high‐entropy alloys via coherent ordered nanoprecipitates
L Han, Z Rao, IR Souza Filho, F Maccari, Y Wei, G Wu, A Ahmadian, ...
Advanced Materials 33 (37), 2102139, 2021
842021
Crystal–glass high‐entropy nanocomposites with near theoretical compressive strength and large deformability
G Wu, S Balachandran, B Gault, W Xia, C Liu, Z Rao, Y Wei, S Liu, J Lu, ...
Advanced Materials 32 (34), 2002619, 2020
842020
Machine-learning-enhanced time-of-flight mass spectrometry analysis
Y Wei, RS Varanasi, T Schwarz, L Gomell, H Zhao, DJ Larson, B Sun, ...
Patterns 2 (2), 2021
242021
Machine-learning-based atom probe crystallographic analysis
Y Wei, B Gault, RS Varanasi, D Raabe, M Herbig, AJ Breen
Ultramicroscopy 194, 15-24, 2018
172018
3D nanostructural characterisation of grain boundaries in atom probe data utilising machine learning methods
Y Wei, Z Peng, M Kühbach, A Breen, M Legros, M Larranaga, F Mompiou, ...
PLoS One 14 (11), e0225041, 2019
152019
Convolutional neural network-assisted recognition of nanoscale L12 ordered structures in face-centred cubic alloys
Y Li, X Zhou, T Colnaghi, Y Wei, A Marek, H Li, S Bauer, M Rampp, ...
npj Computational Materials 7 (1), 8, 2021
142021
Revealing in-plane grain boundary composition features through machine learning from atom probe tomography data
X Zhou, Y Wei, M Kühbach, H Zhao, F Vogel, RD Kamachali, ...
Acta materialia 226, 117633, 2022
122022
Deformation response of highly stretchable and ductile graphene kirigami under uniaxial and biaxial tension
P Shi, Y Chen, Y Wei, J Feng, T Guo, Y Tu, P Sareh
Physical Review B 108 (13), 134105, 2023
62023
Quantitative three-dimensional imaging of chemical short-range order via machine learning enhanced atom probe tomography
Y Li, Y Wei, Z Wang, X Liu, T Colnaghi, L Han, Z Rao, X Zhou, L Huber, ...
Nature Communications 14 (1), 7410, 2023
52023
Machine learning-enabled constrained multi-objective design of architected materials
B Peng, Y Wei*, Y Qin*, J Dai, Y Li, A Liu, Y Tian, L Han, Y Zheng, P Wen*
Nature Communications 14 (1), 6630, 2023
52023
Machine learning-enabled tomographic imaging of chemical short-range atomic ordering
Y Li, T Colnaghi, Y Gong, H Zhang, Y Yu, Y Wei, B Gan, M Song, A Marek, ...
arXiv preprint arXiv:2303.13433, 2023
22023
Predicting the protein-ligand affinity from molecular dynamics trajectories
Y Min, Y Wei, P Wang, N Wu, S Bauer, S Zheng, Y Shi, Y Wang, X Wang, ...
arXiv preprint arXiv:2208.10230, 2022
22022
Roadmap on Data-Centric Materials Science
S Bauer, P Benner, T Bereau, V Blum, M Boley, C Carbogno, CRA Catlow, ...
arXiv preprint arXiv:2402.10932, 2024
2024
A Data-efficient Multiobjective Machine Learning Method For 3D-printed Architected Materials Design
P Bo, Y Wei, Y Qin, J Dai, L Han, Y Li, P Wen
AI for Accelerated Materials Design NeurIPS 2022 Workshop, 2022
2022
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Articles 1–16