activity
20082023
most citedA mechanically strong and ductile soft magnet with extremely low coercivity

383 citations · 4.5k across the 80 of their papers we have counts for

collaborators

82 papers

cond-mat.mtrl-sci2023★ 239 cited

Chemical heterogeneity enhances hydrogen resistance in high-strength steels

Binhan Sun, Wenjun Lu, Ran Ding +7

When H, the lightest, smallest and most abundant atom in the universe, makes its way into a high-strength alloy (>650 MPa), the material's load-bearing capacity is abruptly lost. T…

cond-mat.mtrl-sci2023★ 1 cited

Constructing phase diagrams for defects by correlated atomic-scale characterization

Xuyang Zhou, Prince Mathews, Benjamin Berkels +10

Phase transformations and crystallographic defects are two essential tools to drive innovations in materials. Bulk materials design via tuning chemical compositions has been system…

cond-mat.mtrl-sci2023

The fate of water in hydrogen-based iron oxide reduction

Ayman A. El-Zoka, Leigh T. Stephenson, Se-Ho Kim +2

Gas-solid reactions are cornerstones of many catalytic and redox processes that will underpin the energy and sustainability transition. The specific case of hydrogen-based iron oxi…

cond-mat.mtrl-sci2022★ 41 cited

Atomic motifs govern the decoration of grain boundaries by interstitial solutes

Xuyang Zhou, Ali Ahmadian, Baptiste Gault +4

Grain boundaries, the two-dimensional (2D) defects between differently oriented crystals, control mechanical and transport properties of materials. Our fundamental understanding of…

cond-mat.mtrl-sci2022

Chemical Partitioning at Crystalline Defects in PtAu as a Pathway to Stabilize Electrocatalysts

Xuyang Zhou, Olga Kasian, Ting Luo +8

Dissolution of electrocatalysts during long-term and dynamic operation is a challenging problem in energy conversion and storage devices such as fuel cells and electrolyzers. To de…

cond-mat.mtrl-sci2022★ 1 cited

Computational Discovery of Energy-Efficient Heat Treatment for Microstructure Design using Deep Reinforcement Learning

Jaber R. Mianroodi, Nima H. Siboni, Dierk Raabe

Deep Reinforcement Learning (DRL) is employed to develop autonomously optimized and custom-designed heat-treatment processes that are both, microstructure-sensitive and energy effi…