Home Research Research Departments Interface Chemistry and Surface Engineering Research Groups Atomistic Modelling Research Projects Internal interfaces in quantum dot solids Publications of Ye Wei All genres Journal Article (10) Thesis - PhD (1) Journal Article (10) 1. Journal Article Li, Y.; Wei, Y.; Wang, Z.; Liu, X.; Colnaghi, T.; Han, L.; Rao, Z.; Zhou, X.; Huber, L.; Dsouza, R. et al.; Gong, Y.; Neugebauer, J.; Marek, A.; Rampp, M.; Bauer, S.; Li, H.; Baker, I.; Stephenson, L.; Gault, B.: Quantitative three-dimensional imaging of chemical short-range order via machine learning enhanced atom probe tomography. Nature Communications 14 (1), 7410 (2023) MPG.PuRe DOI publisher-version 2. Journal Article Rao, Z.; Tung, P.-Y.; Xie, R.; Wei, Y.; Zhang, H.; Ferrari, A.; Klaver, T. P. C.; Körmann, F.; Prithiv, T. S.; Kwiatkowski da Silva, A. et al.; Chen, Y.; Li, Z.; Ponge, D.; Neugebauer, J.; Gutfleisch, O.; Bauer , S.; Raabe, D.: Machine learning–enabled high-entropy alloy discovery. Science 378 (6615), pp. 78 - 85 (2022) MPG.PuRe DOI 3. Journal Article Zhou, X.; Wei, Y.; Kühbach, M. T.; Zhao, H.; Vogel, F.; Kamachali, R. D.; Thompson, G. B.; Raabe, D.; Gault, B.: Revealing in-plane grain boundary composition features through machine learning from atom probe tomography data. Acta Materialia 226, 117633 (2022) MPG.PuRe DOI publisher-version 4. Journal Article Han, L.; Maccari, F.; Souza Filho, I. R.; Peter, N. J.; Wei, Y.; Gault, B.; Gutfleisch, O.; Li, Z.; Raabe, D.: A mechanically strong and ductile soft magnet with extremely low coercivity. Nature 608, pp. 310 - 316 (2022) MPG.PuRe DOI publisher-version 5. Journal Article Han, L.; Rao, Z.; Souza Filho, I. R.; Maccari, F.; Wei, Y.; Wu, G.; Ahmadian, A.; Zhou, X.; Gutfleisch, O.; Ponge, D. et al.; Raabe, D.; Li, Z.: Ultrastrong and Ductile Soft Magnetic High-Entropy Alloys via Coherent Ordered Nanoprecipitates. Advanced Materials 33 (37), 2102139 (2021) MPG.PuRe DOI publisher-version 6. Journal Article Wei, Y.; Varanasi, R. S.; Schwarz, T.; Gomell, L.; Zhao, H.; Larson, D. J.; Sun, B.; Liu, G.; Chen, H.; Raabe, D. et al.; Gault, B.: Machine-learning-enhanced time-of-flight mass spectrometry analysis. Patterns 2 (2), 100192 (2021) MPG.PuRe DOI publisher-version 7. Journal Article Li, Y.; Zhou, X.; Colnaghi, T.; Wei, Y.; Marek, A.; Li, H.; Bauer, S.; Rampp, M.; Stephenson, L.: Convolutional neural network-assisted recognition of nanoscale L12 ordered structures in face-centred cubic alloys. npj Computational Materials 7 (1), 8 (2021) MPG.PuRe DOI publisher-version 8. Journal Article Wu, G.; Balachandran, S.; Gault, B.; Xia, W.; Liu, C.; Rao, Z.; Wei, Y.; Liu, S.; Lu, J.; Herbig, M. et al.; Lu, W.; Dehm, G.; Li, Z.; Raabe, D.: Crystal–Glass High-Entropy Nanocomposites with Near Theoretical Compressive Strength and Large Deformability. Advanced Materials, 2002619 (2020) MPG.PuRe DOI publisher-version 9. Journal Article Wei, Y.; Peng, Z.; Kühbach, M.; Breen, A. J.; Legros, M.; Larranaga, M.; Mompiou, F.; Gault, B.: 3D nanostructural characterisation of grain boundaries in atom probe data utilising machine learning methods. PLoS One 14 (11), e0225041 (2019) MPG.PuRe DOI publisher-version 10. Journal Article Wei, Y.; Gault, B.; Varanasi, R. S.; Raabe, D.; Herbig, M.; Breen, A. J.: Machine-learning-based atom probe crystallographic analysis. Ultramicroscopy 194, pp. 15 - 24 (2018) MPG.PuRe DOI Thesis - PhD (1) 11. Thesis - PhD Wei, Y.: Machine learning methods in data-driven nanostructure analysis of materials. Dissertation, RWTH Aachen University (2021) MPG.PuRe