将局部合集群计算推断为CCSD (T) /CBS大气分子集群的结合能量
1Department of Chemistry, Aarhus University, Langelandsgade 140, 8000 Aarhus C, Denmark.
ACS omega
|October 20, 2025
概括
准确的大气新粒子形成 (NPF) 建模需要高精度的量子化学计算. 这项研究对局部合集群方法进行了基准测试,发现LNO-CCSD-(T) 为计算大气分子集群结合能量提供了更高的准确性-成本比率.
科学领域:
- 大气化学 大气化学
- 量子化学 是一个量子化学.
- 计算机建模 计算建模
背景情况:
- 气溶显著影响全球辐射强迫,大气中的分子是新粒子形成 (NPF) 的关键中间体.
- 精确模拟NPF速率需要对集群蒸发速率进行高精度的量子化学计算,而这些蒸发速率依赖于自由能量.
- 当前的计算方法在平衡这些复杂系统的准确性和成本方面面临挑战.
研究的目的:
- 以本地合集群方法为基准,用于计算大气分子集群的结合能.
- 为了评估外推程序到完整的基础集 (CBS),局部近似免费 (LAF),和完整的PNO空间 (CPS) 极限.
- 评估模拟NPF的不同计算方法的准确性与成本的比率.
主要方法:
- 构建了218个大气分子二元集群 (例如,硫酸,氨,水) 的符合性基准集.
- 对DLPNO-CCSD- ((T0) 和LNO-CCSD- ((T)) 方法进行基准测试,使用各种基础集和局部设置.
- 测试CBS,LAF和CPS推断程序与高级参考计算的测试.
主要成果:
- 与DLPNO-CCSD-(T0) 相比,LNO-CCSD-(T) 方法对大气分子团的准确性和成本比率更好.
- 对于典型集群大小的标准基础集,可以实现LNO-CCSD-(T的CBS极限外推.
- 对于较大的集群来说,基准设置误差仍然占主导地位,这突显了LAF外推对NPF率模拟的好处.
结论:
- 对于较大的大气分子群,LNO-CCSD-(T) 允许比以前可行的更为精确的结合能计算.
- 这些发现为NPF率的更可靠模拟提供了途径,这对于了解气溶对气候的影响至关重要.
- 这项工作确立了LNO-CCSD-(T) 作为推动大气化学研究的强大工具.
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