使用IonSolvR和等价图神经网络潜力进行高通量水性电解质结构预测
Sophie Baker1, Joshua Pagotto2, Timothy T Duignan2,3
1Discipline of Chemistry, College of Engineering, Science and Environment, University of Newcastle, Callaghan, Newcastle, NSW 2308, Australia.
The journal of physical chemistry letters
|October 16, 2023
概括
密度功能紧固分子动力学可以加速神经网络对电解质溶液的潜在训练. 通过使用最小的数据,可以获得精确的水性NaCl溶解结构.
科学领域:
- 计算化学计算化学
- 材料科学 材料科学 材料科学
- 物理化学 物理化学
背景情况:
- 神经网络潜能 (NNP) 加速*ab initio*分子动力学 (AIMD) 对于复杂的系统,如电解质溶液.
- 无线网络需要大量准确的训练数据集,这些数据集通常来自Kohn-Sham密度函数理论 (DFT) 的计算.
- 密度功能紧固结合 (DFTB) 为生成分子动力学数据提供了一个比DFT更便宜的计算替代方案.
研究的目的:
- 调查使用现有的DFTB分子动力学轨迹数据来训练E(3) -等效图形神经网络潜力的可行性.
- 评估这种方法对模拟水性电解质溶液的效率和准确性.
- 为了确定准确的NNP培训的最低数据要求.
主要方法:
- 利用了来自IonSolvR数据库的现有的DFTB分子动力学轨迹数据.
- 使用DFTB数据训练了E(3) - 相当的图表神经网络潜力.
- 通过将模拟的溶解结构与已知的Na+和Cl-在水性NaCl溶液中的结果进行比较,评估训练潜力的准确性.
- 采用令人尬的并行重新抽样方法来提高预测准确度.
主要成果:
- 在水性NaCl溶液中Na+和Cl-离子的溶解结构的准确复制是通过一个小数据集 (100个分子动力学框架) 实现的.
- 神经网络潜力的性能通过重新采样通过进一步的数据系统地得到改善.
- 证明了DFTB数据在加速NNP培训方面的潜力.
结论:
- DFTB分子动力学数据是训练精确的神经网络电解质溶液潜力的可行和高效资源.
- 最少的训练数据足以捕捉溶解的基本结构性质.
- 拟议的方法为模拟复杂的冷凝相系统提供了显著的加速.
相关概念视频
Formation of Complex Ions
23.7K
A type of Lewis acid-base chemistry involves the formation of a complex ion (or a coordination complex) comprising a central atom, typically a transition metal cation, surrounded by ions or molecules called ligands. These ligands can be neutral molecules like H2O or NH3, or ions such as CN− or OH−. Often, the ligands act as Lewis bases, donating a pair of electrons to the central atom. These types of Lewis acid-base reactions are examples of a broad subdiscipline called coordination...
23.7K
Lewis Structures of Molecular Compounds and Polyatomic Ions
34.9K
To draw Lewis structures for complicated molecules and molecular ions, it is helpful to follow a step-by-step procedure as outlined:
34.9K
Precipitation of Ions
27.9K
Predicting Precipitation
The equation that describes the equilibrium between solid calcium carbonate and its solvated ions is:
The equation that describes the equilibrium between solid calcium carbonate and its solvated ions is:
27.9K
Electrolytes: van't Hoff Factor
33.2K
Colligative Properties of Electrolytes
The colligative properties of a solution depend only on the number, not on the identity, of solute species dissolved. The concentration terms in the equations for various colligative properties (freezing point depression, boiling point elevation, osmotic pressure) pertain to all solute species present in the solution. Nonelectrolytes dissolve physically without dissociation or any other accompanying process. Each molecule that dissolves yields one...
The colligative properties of a solution depend only on the number, not on the identity, of solute species dissolved. The concentration terms in the equations for various colligative properties (freezing point depression, boiling point elevation, osmotic pressure) pertain to all solute species present in the solution. Nonelectrolytes dissolve physically without dissociation or any other accompanying process. Each molecule that dissolves yields one...
33.2K
Ion Exchange
600
Ion exchange chromatography separates charged molecules from a solution by reversibly exchanging them with mobile, or 'active', ions associated with the oppositely charged stationary phase. This method can be used to separate ions, soften and deionize water, and purify solutions. The polymers comprising the ion-exchange column are high-molecular-weight and chemically stable polymers, crosslinked to be porous and essentially insoluble. They are also functionalized with either acidic or...
600
Intermolecular Forces
58.6K
Atoms and molecules interact through bonds (or forces): intramolecular and intermolecular. The forces are electrostatic as they arise from interactions (attractive or repulsive) between charged species (permanent, partial, or temporary charges) and exist with varying strengths between ions, polar, nonpolar, and neutral molecules. The different types of intermolecular forces are ion–dipole, dipole–dipole, hydrogen bonds, and dispersion; among these, dipole–dipole, hydrogen...
58.6K


