17 citations · 29 across the 8 of their papers we have counts for
8 papers
Grain boundary segregation of light elements and their effects on cohesion in ferritic steels
Han Lin Mai, Xiang-Yuan Cui, Tilmann Hickel +2
Light elements play an important role in influencing the macroscale properties of engineering alloys through grain boundary (GB) segregation phenomena. However, the scarcity and sc…
Microstructural origin of the simultaneous enhancements in strength and ductility of a nitrogen-doped high-entropy alloy
Xiaoxiang Wu, Zhujun Sun, Wenqi Guo +9
As one of the most abundant interstitial elements, nitrogen (N) is effective in improving yield strength of metallic materials, due to interstitial solid solution strengthening. Do…
Fully Compensated Lines in Ferrimagnets
Qais Ali, Anna Grünebohm, Halil Ibrahim Sözen +3
We generalize the classic Néel diagram and identify another type of ferrimagnetic phase that remains fully magnetically compensated below the Curie temperature, forming a continuou…
Ultrastrong and ductile CoNiMoAl medium-entropy alloys enabled by L12 nanoprecipitate-induced multiple deformation mechanisms
Min Young Sung, Tae Jin Jang, Sang Yoon Song +11
L12 precipitates are known to significantly enhance the strength and ductility of single-phase face-centered cubic (FCC) medium- or high-entropy alloys (M/HEAs). However, further i…
A high-throughput ab initio study of elemental segregation and cohesion at ferritic-iron grain boundaries
Han Lin Mai, Xiang-Yuan Cui, Tilmann Hickel +2
Segregation of alloying elements and impurities at grain boundaries (GBs) critically influences material behavior by affecting cohesion. In this study, we present an ab initio high…
Accelerating ab initio melting property calculations with machine learning: Application to the high entropy alloy TaVCrW
Li-Fang Zhu, Fritz Koermann, Qing Chen +3
Melting properties are critical for designing novel materials, especially for discovering high-performance, high-melting refractory materials. Experimental measurements of these pr…
Roadmap on Data-Centric Materials Science
Stefan Bauer, Peter Benner, Tristan Bereau +58
Science is and always has been based on data, but the terms "data-centric" and the "4th paradigm of" materials research indicate a radical change in how information is retrieved, h…
Machine learning-enabled tomographic imaging of chemical short-range atomic ordering
Yue Li, Timoteo Colnaghi, Yilun Gong +13
In solids, chemical short-range order (CSRO) refers to the self-organisation of atoms of certain species occupying specific crystal sites. CSRO is increasingly being envisaged as a…