Publications from the Defect Chemistry and Spectroscopy group
Journal Article (6)
1.
Journal Article
29 (5), pp. 1658 - 1670 (2023)
A Machine Learning Framework for Quantifying Chemical Segregation and Microstructural Features in Atom Probe Tomography Data. Microscopy and Microanalysis 2.
Journal Article
107 (23), 235413 (2023)
Accurate computation of chemical contrast in field ion microscopy. Physical Review B 3.
Journal Article
863, 144529 (2023)
Decomposition-resistant carbonitride precipitates in X30CrMoN15-1 high-nitrogen bearing steel deformed by high-pressure torsion. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 4.
Journal Article
107 (4), L041406 (2023)
Ab initio vacancy formation energies and kinetics at metal surfaces under high electric field. Physical Review B 5.
Journal Article
35 (9), 2208774 (2023)
A New Class of Cluster-Matrix Nanocomposite Made of Fully Miscible Components. Advanced Materials 6.
Journal Article
6, 100 (2023)
Introducing field evaporation energy loss spectroscopy. Communications Physics Talk (5)
7.
Talk
Pushing the limits of APT and FIM by pushing theoretical approaches. APT & M 2023, Leuven, Belgium (2023)
8.
Talk
Perspectives for machine learning applied to data-rich experiments on complex materials. Materials Chain International Conference, Bochum, Germany (2023)
9.
Talk
Pattern discovery and quantification in experimental data from scanning transmission electron tomography (STEM) and atom probe tomography (APT). Big Max Summer School, Cap Roig, Spain (2023)
10.
Talk
Exploring data-rich materials analytics with machine learning: how and why. Physikalisches Kolloquium, Universität Marburg, Marburg, Germany (2023)
11.
Talk
Ab initio calculations of charged defects at surfaces. APS March Meeting 2023, Las Vegas, NV, USA (2023)