论文标题

结合能量评估平台:天文学群落的量子化学结合能分布的数据库

Binding Energy Evaluation Platform: A database of quantum chemical binding energy distributions for the astrochemical community

论文作者

Bovolenta, Giulia M., Vogt-Geisse, Stefan, Bovino, Stefano, Grassi, Tommaso

论文摘要

星体化学模型的质量高度取决于可靠的结合能(BE)值,这些值考虑了冰粒表面上结合位点的形态和能量变化。在这里,我们介绍结合能量评估平台(蜂鸣)和数据库,这些数据库使用量子化学方法产生与无定形固体水(ASW)表面模型结合的分子的完全分布。哔哔声是高度自动化的,允许在一组水簇上采样结合位点并计算准确的BES。使用我们的方案,我们计算了21个是星际分子和自由基的分布,这是每个22个分子的15-18个水簇集合的分布。分布包含225至250个独特的绑定位点。我们应用高斯拟合,并报告每个分布的平均值和标准偏差。我们与现有的实验结果进行了比较,发现低覆盖率和高覆盖率实验性BES与我们的分布的高尾巴和平均值很好地吻合。以前报道的单个BE理论值与我们的值大致相符,即使在某些情况下可以理解显着差异。我们展示了不同BA值的使用如何影响天体物理学中的典型问题,例如原动性盘中雪线的计算。哔哔声将公开发布,以便可以将数据库扩展到社区努力中的其他分子或冰模型。

The quality of astrochemical models is highly dependent on reliable binding energy (BE) values that consider the morphological and energetic variety of binding sites on the surface of ice-grain mantles. Here, we present the Binding Energy Evaluation Platform (BEEP) and database that, using quantum chemical methods, produces full BE distributions of molecules bound to an amorphous solid water (ASW) surface model. BEEP is highly automatized and allows to sample binding sites on set of water clusters and to compute accurate BEs. Using our protocol, we computed 21 BE distributions of interstellar molecules and radicals on an amorphized set of 15-18 water clusters of 22 molecules each. The distributions contain between 225 and 250 unique binding sites. We apply a Gaussian fit and report the mean and standard deviation for each distribution. We compare with existing experimental results and find that the low and high coverage experimental BEs coincide well with the high BE tail and mean value of our distributions, respectively. Previously reported single BE theoretical values are broadly in line with ours, even though in some cases significant differences can be appreciated. We show how the use of different BE values impact a typical problem in astrophysics, such as the computation of snow lines in protoplanetary discs. BEEP will be publicly released so that the database can be expanded to other molecules or ice-models in a community effort.

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