Generation and performance of special quasirandom structures for studying the elastic properties of random alloys: Application to Al-Ti

By Johann von Pezold, A. Dick, Martin Friák, J. Neugebauer. 2010

149 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Materials Chemistry, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/dbaf4c8a37f561840414c146d0281d2829963536

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. W. A. Curtin
2. C. Varvenne
3. M. Ghazisaeidi
4. Zi-kui Liu
5. Long-qing Chen
6. Mark Asta
7. Axel van de Walle
8. Nele Moelans

In Materials Chemistry

1. Zi-kui Liu
2. Axel van de Walle
3. Mark Asta
4. Long-qing Chen
5. Yi Wang
6. W. A. Curtin
7. C. Varvenne
8. M. Ghazisaeidi

In Mechanical Engineering

1. Zi-kui Liu
2. W. A. Curtin
3. C. Varvenne
4. M. Ghazisaeidi
5. Mark Asta
6. Yi Wang
7. Axel van de Walle
8. Long-qing Chen

Citations in the corpus

• Solute strengthening in random alloys (2017, methodology): “techniques such as the Virtual Crystal Approximation [62] and the Coherent Potential Approximation [63, 64, 104, 105, 106], and the use of Special Quasi Random structures [107, 108] provide directions for progress.”
• Efficient stochastic generation of special quasirandom structures (2013, background): “The generation of SQS via stochastic approaches [5,10,11] thus becomes a desirable alternative.”