360 citations · 367 across the 5 of their papers we have counts for
7 papers
Hydrogen trapping and embrittlement in high-strength Al-alloys
Huan Zhao, Poulami Chakraborty, Dirk Ponge +5
Ever more stringent regulations on greenhouse gas emissions from transportation motivate efforts to revisit materials used for vehicles. High-strength Al-alloys often used in aircr…
Revealing in-plane grain boundary composition features through machine learning from atom probe tomography data
Xuyang Zhou, Ye Wei, Markus Kühbach +6
Grain boundaries (GBs) are planar lattice defects that govern the properties of many types of polycrystalline materials. Hence, their structures have been investigated in great det…
CALPHAD-informed phase-field modeling of grain boundary microchemistry and precipitation in Al-Zn-Mg-Cu alloys
Chuanlai Liu, Alistair Garner, Huan Zhao +4
The grain boundary (GB) microchemistry and precipitation behaviour in high-strength Al-Zn-Mg-Cu alloys has an important influence on their mechanical and electrochemical properties…
Machine-learning-enhanced time-of-flight mass spectrometry analysis
Ye Wei, Rama Srinivas Varanasi, Torsten Schwarz +8
Mass spectrometry is a widespread approach to work out what are the constituents of a material. Atoms and molecules are removed from the material and collected, and subsequently, a…
On Strong Scaling and Open Source Tools for Analyzing Atom Probe Tomography Data
Markus Kühbach, Priyanshu Bajaj, Murat Han Celik +2
Atom probe tomography (APT) has matured to a versatile nanoanalytical characterization tool with applications that range from materials science to geology and possibly beyond. Alre…
Segregation assisted grain boundary precipitation in a model Al-Zn-Mg-Cu alloy
Huan Zhao, Frédéric De Geuser, Alisson Kwiatkowski da Silva +4
Understanding the composition evolution of grain boundaries and grain boundary precipitation at near-atomic scale in aluminum alloys is crucial to tailor mechanical properties and…