通过神经网络推动的大气分子的潜在能量表面的准确建模
Jakub Kubečka1, Daniel Ayoubi1, Zeyuan Tang2
1Department of Chemistry, Aarhus University Langelandsgade 140 8000 Aarhus C Denmark ja-kub-ecka@chem.au.dk +420 724946622.
Environmental science. Advances
|August 23, 2024
概括
机器学习模型,如PaiNN,准确地预测大气集群的特性,与量子化学相比降低了计算成本. 这些模型使大气新粒子形成研究的模拟速度更快.
科学领域:
- 计算化学是一种计算化学.
- 大气科学 大气科学
- 机器学习是机器学习.
背景情况:
- 对于大型分子系统来说,准确的量子化学 (QC) 计算在计算上是昂贵的.
- 机器学习 (ML) 提供了一个比QC更便宜的计算替代方案,同时保持准确性.
研究的目的:
- 采用可极化原子相互作用神经网络 (PaiNN) 架构来建大气分子的潜在能量表面模型.
- 为了比较特定数据集的PainNN性能与内核回归.
- 为了证明大型大气的ML模型的可扩展性和准确性.
主要方法:
- 在分子集群的潜在能量表面上训练PaiNN模型,包括硫酸-氨集群.
- 使用电子结合能和原子间力平均绝对误差来评估模型的准确性.
- 将PaiNN与Clusteromics I-V数据集上的内核回归进行比较.
主要成果:
- 开发了三种具有高精度的 PaiNN 模型:MAE <0.3 kcal mol-1 的约束能和 <0.2 kcal mol-1 Å-1 的力.
- 证明模型误差在比训练数据 (高达30个分子) 大得多的集群中保持在1kcal mol-1以下.
- 与之前的内核回归方法相比,PaiNN的性能得到了改进.
结论:
- PaiNN模型为研究大气分子提供了一个计算效率高,准确的方法.
- 这些ML模型可以显著加速配置采样,并增强大气中新粒子形成的分子动力学模拟.
- 开发的模型显示了大气化学和气溶科学研究的巨大潜力.
相关概念视频
02:27Predicting Molecular Geometry
34.1K
VSEPR Theory for Determination of Electron Pair Geometries
34.1K
02:00Molecular Models
38.1K
Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
38.1K
01:20Maxwell-Boltzmann Distribution: Problem Solving
1.4K
Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
1.4K
03:51Molecular Orbital Theory II
19.0K
Molecular Orbital Energy Diagrams
19.0K
02:36Molecular Geometry and Dipole Moments
12.7K
The VSEPR theory can be used to determine the electron pair geometries and molecular structures as follows:
12.7K
04:01Real Gases: Effects of Intermolecular Forces and Molecular Volume Deriving Van der Waals Equation
34.5K
Thus far, the ideal gas law, PV = nRT, has been applied to a variety of different types of problems, ranging from reaction stoichiometry and empirical and molecular formula problems to determining the density and molar mass of a gas. However, the behavior of a gas is often non-ideal, meaning that the observed relationships between its pressure, volume, and temperature are not accurately described by the gas laws.
34.5K