Modern methods of crystal structure prediction
By Artem R. Oganov. 2011
238 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/8253be2803fadbacf19388f22e853423ec87bf41
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Andriy O. Lyakhov
- Volker L. Deringer
- Gábor Csányi
- Chris J. Pickard
- Artem R. Oganov
- Qiang Zhu
- H. Stokes
- A. P. Bart'ok
Citations in the corpus
- Data-Driven Learning of Total and Local Energies in Elemental Boron. (2017, background): “Despite their widespread successes [23], DFT-based structure-searching algorithms are severely restricted by their high computational cost.”
- New developments in evolutionary structure prediction algorithm USPEX (2013, methodology): “The First Blind Test for inorganic crystal structure prediction [12], conducted in 2010, showed that the evolutionary algorithm USPEX [3–5] is the most efficient and reliable method.”
- A perspective on conventional high-temperature superconductors at high pressure: Methods and materials (2019, unknown): “[313, 314] by Glass et al.”