activity
20112025
most citedHydrogen trapping and embrittlement in high-strength Al-alloys

360 citations · 1.4k across the 46 of their papers we have counts for

collaborators
Showing 2021Show all

19 papers · 1 filter

cond-mat.mtrl-sci2021

Origins of the hydrogen signal in atom probe tomography

Su-Hyun Yoo, Se-Ho Kim, Eric Woods +3

Atom Probe Tomography (APT) analysis is being actively used to provide near-atomic-scale information on the composition of complex materials in three-dimensions. In recent years, t…

cond-mat.mtrl-sci20214 cited

Nanoscale characterisation of hydrides and secondary phase particles in Zircaloy-4

Wenjun Lu, Paraskevas Kontis, Siyang Wang +4

The interaction of hydrogen and metals continues to be industrially relevant and is a critical part of creating and supporting a safety case for nuclear reactor operation. In the p…

cond-mat.mtrl-sci2021

Discovery and implications of hidden atomic-scale structure in a metallic meteorite

András Kovács, Laura H. Lewis, Dhanalaksmi Palanisamy +7

Iron and its alloys have made modern civilisation possible, with metallic meteorites providing one of the human's earliest sources of usable iron as well as providing a window into…

cond-mat.mtrl-sci2021

Microstructure manipulation by laser-surface remelting of a full-Heusler compound to enhance thermoelectric properties

Leonie Gomell, Tobias Haeger, Moritz Roscher +5

There is an increasing reckoning that the thermoelectric performance of a material is dependent on its microstructure. However, the microstructure-properties relationship often rem…

cond-mat.mtrl-sci2021

Dopant-segregation to grain boundaries controls electrical conductivity of n-type NbCo(Pt)Sn half-Heusler alloy mediating thermoelectric performance

Ting Luo, Federico Serrano-Sánchez, Hanna Bishara +12

Science-driven design of future thermoelectric materials requires a deep understanding of the fundamental relationships between microstructure and transport properties. Grain bound…

cond-mat.mtrl-sci2021

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…