Publikationen von Yue Li
Alle Typen
Zeitschriftenartikel (22)
21.
Zeitschriftenartikel
Reflections on the Spatial Performance of Atom Probe Tomography in the Analysis of Atomic Neighborhoods. Microscopy and Microanalysis 28 (4), S. 1116 - 1126 (2022)
22.
Zeitschriftenartikel
Convolutional neural network-assisted recognition of nanoscale L12 ordered structures in face-centred cubic alloys. npj Computational Materials 7 (1), 8 (2021)
Vortrag (10)
23.
Vortrag
Machine learning-enabled tomographic imaging of chemical short-range ordering in CoCrNi alloy. TMS 2023, San Diego, CA, USA (2024)
24.
Vortrag
Machine Learning-enabled Tomographic Imaging of Chemical Short-range Order in Fe-based Solid-solutions. DPG 2024, Berlin, Germany (2024)
25.
Vortrag
Machine Learning-enabled Tomographic Imaging of Chemical Short-range Order in Fe-based Solid-solutions. TMS 2024, Orlando, FL, USA (2024)
26.
Vortrag
Machine learning-enabled tomographic imaging of chemical short-range ordering in CoCrNi alloys. APT&M 2023, Leuven, Belgium (2023)
27.
Vortrag
Quantitative three-dimensional imaging of chemical short-range order. APT&M 2022, Online (2022)
28.
Vortrag
Quantitative three-dimensional imaging of chemical short-range order. Materials Science and Engineering (MSE) Congress 2022, Darmstadt Germany (2022)
29.
Vortrag
Quantitative three-dimensional imaging of chemical short-range order via machine learning enhanced atom probe tomography. BiGmax Spring Meeting 2022, Bochum, Germany (2022)
30.
Vortrag
Quantitative three-dimensional imaging of chemical short-range order in Fe–18Al. TMS 2022, Online (2022)
31.
Vortrag
Convolutional neural network-assisted recognition of nanoscale L12 ordered structures in face-centred cubic alloys. Materials Oceania 2021, Online (2021)
32.
Vortrag
Convolutional neural network-assisted recognition of nanoscale L12 ordered structures in face-centred cubic alloys. TMS 2021, Online (2021)
Poster (1)
33.
Poster
Machine-learning-assisted revealing L12 ordered structures in FCC-based alloys. BIGmax workshop 2020, online, Düsseldorf, Germany (2020)