二甲胺
甲胺
化学
三甲胺
硫酸
星团(航天器)
氨
量子化学
计算化学
基础(拓扑)
人口
分子
量子化学
粒子(生态学)
物理化学
化学物理
无机化学
有机化学
超分子化学
数学分析
人口学
数学
社会学
计算机科学
海洋学
地质学
程序设计语言
作者
Jakub Kubečka,Ivo Neefjes,Vitus Besel,Fukang Qiao,Hong-Bin Xie,Jonas Elm
标识
DOI:10.1021/acs.jpca.3c00068
摘要
The formation of molecular clusters and secondary aerosols in the atmosphere has a significant impact on the climate. Studies typically focus on the new particle formation (NPF) of sulfuric acid (SA) with a single base molecule (e.g., dimethylamine or ammonia). In this work, we examine the combinations and synergy of several bases. Specifically, we used computational quantum chemistry to perform configurational sampling (CS) of (SA)0-4(base)0-4 clusters with five different types of bases: ammonia (AM), methylamine (MA), dimethylamine (DMA), trimethylamine (TMA), and ethylenediamine (EDA). Overall, we studied 316 different clusters. We used a traditional multilevel funnelling sampling approach augmented by a machine-learning (ML) step. The ML made the CS of these clusters possible by significantly enhancing the speed and quality of the search for the lowest free energy configurations. Subsequently, the cluster thermodynamics properties were evaluated at the DLPNO-CCSD(T0)/aug-cc-pVTZ//ωB97X-D/6-31++G(d,p) level of theory. The calculated binding free energies were used to evaluate the cluster stabilities for population dynamics simulations. The resultant SA-driven NPF rates and synergies of the studied bases are presented to show that DMA and EDA act as nucleators (although EDA becomes weak in large clusters), TMA acts as a catalyzer, and AM/MA is often overshadowed by strong bases.
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