activity
20182022
most citedMachine learning-enabled high-entropy alloy discovery

13 citations · 16 across the 4 of their papers we have counts for

collaborators

5 papers

cond-mat.mtrl-sci202213 cited

Machine learning-enabled high-entropy alloy discovery

Ziyuan Rao, PoYen Tung, Ruiwen Xie +14

High-entropy alloys are solid solutions of multiple principal elements, capable of reaching composition and feature regimes inaccessible for dilute materials. Discovering those wit…

cond-mat.mtrl-sci20202 cited

Can experiment determine the stacking fault energy of metastable alloys?

Xun Suna, Song Lu, Ruiwen Xie +8

Stacking fault energy (SFE) plays an important role in deformation mechanisms and mechanical properties of face-centered cubic (fcc) metals and alloys. In metastable fcc alloys, th…

cond-mat.mtrl-sci20201 cited

Dissociated dislocation-mediated carbon transport and diffusion in austenitic iron

Ruiwen Xie, Song Lu, Wei Li +2

Dislocation-solute interaction plays fundamental roles in mechanical properties of alloys. Here, we disclose the essential features of dislocation-carbon interaction in austenitic…

cond-mat.mtrl-sci2019

Understanding quality control of hard metals in industry -- A quantum mechanics approach

Martina Lattemann, Ruiwen Xie, Raquel Lizárraga +2

For many decades, the magnetic saturation of, e.g. hard metals (HM) such as WC-Co-based cemented carbides, has been used as process and quality control in industry to ensure consis…

cond-mat.mtrl-sci2018

Quantum mechanics basis of quality control in hard metals

Ruiwen Xie, Raquel Lizárragaa, David Linder +6

Non-destructive and reliable quality control methods are a key aspect to designing, developing and manufacturing new materials for industrial applications and new technologies. The…