New developments in evolutionary structure prediction algorithm USPEX

By Andriy O. Lyakhov, Artem R. Oganov, H. Stokes, Qiang Zhu. Computer Physics Communications, 2013

1,209 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Materials Chemistry, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/d215ef3cece510a78328296122f34640c1857de4

How researchers see this paper

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

In Materials Chemistry

1. J. A. Flores-Livas
2. G. Profeta
3. A. Sanna

In Statistical and Nonlinear Physics

1. J. A. Flores-Livas
2. Ryotaro Arita
3. M. Eremets
4. G. Profeta
5. A. Sanna
6. L. Boeri

Citations in the corpus

• A perspective on conventional high-temperature superconductors at high pressure: Methods and materials (2019, background): “A fundamental step, as in other methodologies is to perform an efficient local optimization which increases the cost of each individual, but reduces the search space to the local optima, enhances comparability between different structures and provides locally optimal structures for further usage [30”