药品多态性的第一原则模型:最大限度地提高准确性与成本的比率
Jan Ludík1, Veronika Kostková1, Štefan Kocian1
1Department of Physical Chemistry, University of Chemistry and Technology Prague, Technická 5, CZ-166 28 Prague 6, Czech Republic.
Journal of chemical theory and computation
|March 27, 2024
概括
计算化学现在为分子材料提供了准确的in silico模型. 本研究介绍了一种复合方法,将密度功能紧密结合 (DFTB) 和密度功能理论 (DFT) 结合起来,以实现高效和准确的预测.
科学领域:
- 计算化学是一种计算化学.
- 材料科学是一种材料科学.
- 固态物理 固态物理
背景情况:
- 分子材料的in silico模型正在进步,但范围和成本有限.
- 目前的ab initio多态排名仅限于小分子和简单的晶体.
- 将第一原则方法扩展到更大,现实世界的系统仍然是一个挑战.
研究的目的:
- 开发一种计算效率高且准确的方法来预测分子材料的特性.
- 将第一原则计算的适用性扩展到复杂系统.
- 为了实现分子晶体的高通量计算选.
主要方法:
- 一种结合密度功能紧密结合 (DFTB) 和密度功能理论 (DFT) 的新型复合方法.
- 使用准和近似用于高效的体积依赖性质扫描.
- 在单晶体体积上应用更高水平的DFT校正.
主要成果:
- 精确预测复杂分子材料的结构,凝聚力和热力学性能.
- 与传统的DFT方法相比,计算成本大幅降低.
- 对于现实生活中的分子晶体,包括多形态排名的一致结果.
结论:
- 复合DFTB/DFT方法为准确的材料属性预测提供了一种具有成本效益的方法.
- 这种方法扩大了复杂分子系统的计算化学的能力.
- 能够有效选药品和有机半导体等材料.
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