Publikationen von Yue Li

Li, Y.; Gault, B.: Machine learning-enabled tomographic imaging of chemical short-range ordering in CoCrNi alloy. TMS 2023, San Diego, CA, USA (2024)

Li, Y.; Gault, B.: Machine Learning-enabled Tomographic Imaging of Chemical Short-range Order in Fe-based Solid-solutions. DPG 2024, Berlin, Germany (2024)

Li, Y.; Gault, B.: Machine Learning-enabled Tomographic Imaging of Chemical Short-range Order in Fe-based Solid-solutions. TMS 2024, Orlando, FL, USA (2024)

Li, Y.; Gault, B.: Machine learning-enabled tomographic imaging of chemical short-range ordering in CoCrNi alloys. APT&M 2023, Leuven, Belgium (2023)

Li, Y.; Gault, B.: Quantitative three-dimensional imaging of chemical short-range order. APT&M 2022, Online (2022)

Li, Y.; Gault, B.: Quantitative three-dimensional imaging of chemical short-range order. Materials Science and Engineering (MSE) Congress 2022, Darmstadt Germany (2022)

Li, Y.; Gault, B.: Quantitative three-dimensional imaging of chemical short-range order via machine learning enhanced atom probe tomography. BiGmax Spring Meeting 2022, Bochum, Germany (2022)

Li, Y.; Gault, B.: Quantitative three-dimensional imaging of chemical short-range order in Fe–18Al. TMS 2022, Online (2022)

Li, Y.; Gault, B.: Convolutional neural network-assisted recognition of nanoscale L12 ordered structures in face-centred cubic alloys. Materials Oceania 2021, Online (2021)

Li, Y.; Gault, B.: Convolutional neural network-assisted recognition of nanoscale L12 ordered structures in face-centred cubic alloys. TMS 2021, Online (2021)

Li, Y.; Stephenson, L.; Zhou, X.; Colnaghi, T.; Marek, A.; Bauer, S.; Rampp, M.; Raabe, D.; Gault, B.: Machine-learning-assisted revealing L12 ordered structures in FCC-based alloys. BIGmax workshop 2020, online, Düsseldorf, Germany (2020)