| 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 | 383 | 2022 |
| 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 | 179 | 2022 |
| 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 | 123 | 2021 |
| 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 | 109 | 2020 |
| 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 | 46 | 2023 |
| 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 | 38 | 2021 |
| 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 | 30 | 2021 |
| 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 | 26 | 2023 |
| Machine-learning-based atom probe crystallographic analysis Y Wei, B Gault, RS Varanasi, D Raabe, M Herbig, AJ Breen Ultramicroscopy 194, 15-24, 2018 | 23 | 2018 |
| 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 | 22 | 2023 |
| 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 | 20 | 2022 |
| 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 | 19 | 2019 |
| Roadmap on data-centric materials science S Bauer, P Benner, T Bereau, V Blum, M Boley, C Carbogno, CRA Catlow, ... Modelling and Simulation in Materials Science and Engineering 32 (6), 063301, 2024 | 10 | 2024 |
| 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, ... Advanced materials 36 (44), 2407564, 2024 | 7 | 2024 |
| Near-theoretical strength and deformation stabilization achieved via grain boundary segregation and nano-clustering of solutes C Liu, J Rao, Z Sun, W Lu, JP Best, X Li, W Xia, Y Gong, Y Wei, B Zhang, ... Nature Communications 15 (1), 9283, 2024 | 4 | 2024 |
| 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 | 4 | 2022 |
| Derivative-free tree optimization for complex systems Y Wei, B Peng, R Xie, Y Chen, Y Qin, P Wen, S Bauer, PY Tung arXiv preprint arXiv:2404.04062, 2024 | 3 | 2024 |
| From Static to Dynamic Structures: Improving Binding Affinity Prediction with Graph‐Based Deep Learning Y Min, Y Wei*, P Wang, X Wang, H Li, N Wu, S Bauer, S Zheng, Y Shi, ... Advanced Science, 2405404, 2024 | 2 | 2024 |
| 3D deep learning for enhanced atom probe tomography analysis of nanoscale microstructures J Yu, Z Wang, A Saksena, S Wei, Y Wei, T Colnaghi, A Marek, M Rampp, ... Acta Materialia 278, 120280, 2024 | 1 | 2024 |
| From Static to Dynamic Structures: Improving Binding Affinity Prediction with a Graph-Based Deep Learning Model Y Min, Y Wei, P Wang, X Wang, H Li, N Wu, S Bauer, S Zheng, Y Shi, ... arXiv e-prints, arXiv: 2208.10230, 2022 | 1 | 2022 |
Baptiste GaultMax-Planck Institute für Eisenforschung Gmbh, DüsseldorfEmail confirmado em mpie.de