Department of Bioengineering, Rice University, Houston, TX 77005, USA.
Phys Chem Chem Phys. 2011 Jul 21;13(27):12407-12. doi: 10.1039/c0cp02255a. Epub 2011 Mar 18.
We here describe a database of computationally predicted zeolite-like materials. These crystals were discovered by a Monte Carlo search for zeolite-like materials. Positions of Si atoms as well as unit cell, space group, density, and number of crystallographically unique atoms were explored in the construction of this database. The database contains over 2.6 M unique structures. Roughly 15% of these are within +30 kJ mol(-1) Si of α-quartz, the band in which most of the known zeolites lie. These structures have topological, geometrical, and diffraction characteristics that are similar to those of known zeolites. The database is the result of refinement by two interatomic potentials that both satisfy the Pauli exclusion principle. The database has been deposited in the publicly available PCOD database and in www.hypotheticalzeolites.net/database/deem/.
我们在此描述了一个计算预测的沸石类材料数据库。这些晶体是通过蒙特卡罗搜索沸石类材料发现的。在构建这个数据库时,我们探索了硅原子的位置以及晶胞、空间群、密度和晶体学上独特原子的数量。该数据库包含超过 260 万个独特的结构。这些结构中大约有 15%在 +30 kJ mol(-1) Si 以内的α-石英,这是大多数已知沸石所在的能带。这些结构在拓扑、几何和衍射特性上与已知沸石相似。该数据库是通过两种都满足泡利不相容原理的原子间势的细化得到的。该数据库已存入公共的 PCOD 数据库和 hypotheticalzeolites.net/database/deem/。