Constrained evolutionary algorithm for structure prediction of molecular crystals: Methodology and applications

Qiang Zhu, Artem R. Oganov, Colin W. Glass, Harold T. Stokes

Результат исследований: Вклад в журналСтатьярецензирование

125 Цитирования (Scopus)

Аннотация

Evolutionary crystal structure prediction proved to be a powerful approach for studying a wide range of materials. Here we present a specifically designed algorithm for the prediction of the structure of complex crystals consisting of well defined molecular units. The main feature of this new approach is that each unit is treated as a whole body, which drastically reduces the search space and improves the efficiency, but necessitates the introduction of new variation operators described here. To increase the diversity of the population of structures, the initial population and part ( 20%) of the new generations are produced using space-group symmetry combined with random cell parameters, and random positions and orientations of molecular units. We illustrate the efficiency and reliability of this approach by a number of tests (ice, ammonia, carbon dioxide, methane, benzene, glycine and butane-1,4-diammonium dibromide). This approach easily predicts the crystal structure of methane A containing 21 methane molecules (105 atoms) per unit cell. We demonstrate that this new approach also has a high potential for the study of complex inorganic crystals as shown on examples of a complex hydrogen storage material Mg(BH4)2 and elemental boron.

Язык оригиналаАнглийский
Страницы (с-по)215-226
Число страниц12
ЖурналActa Crystallographica Section B: Structural Science
Том68
Номер выпуска3
DOI
СостояниеОпубликовано - мая 2012
Опубликовано для внешнего пользованияДа

Fingerprint

Подробные сведения о темах исследования «Constrained evolutionary algorithm for structure prediction of molecular crystals: Methodology and applications». Вместе они формируют уникальный семантический отпечаток (fingerprint).

Цитировать