从单个分子配置中快速预测液体结构,使用深度学习
Chunhui Li1, Benjamin Gilbert1, Steven Farrell2
1Energy Geosciences Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California 94720, United States.
Journal of chemical information and modeling
|June 12, 2023
概括
深度学习从单个分子配置中预测液体结构性质,大大降低了计算成本. 这种方法通过点云分析提供了对液体行为的快速洞察.
科学领域:
- 计算物理和化学 计算物理和化学
- 材料科学 是一种材料科学.
- 科学研究中的人工智能
背景情况:
- 分子动力学 (MD) 模拟对于理解集体原子/分子行为和相位形成至关重要.
- 统计力学通过时间平均微态预测宏观性质,但需要广泛的模拟数据,导致高计算成本.
- 高效预测液体结构性质仍然是一个挑战.
研究的目的:
- 开发一种快速的深度学习策略,从单个分子配置中预测液体结构性质.
- 为了证明基于点云的神经网络用于分析液体结构的有效性.
- 为结构分析提供了传统的MD模拟的计算效率高的替代方案.
主要方法:
- 采用了基于点云的深度学习策略.
- 一个深度神经网络架构被设计用于处理单个分子配置.
- 该方法在各种条件下使用 (Ar),氧化 (NO) 和水 (H2O) 进行了验证.
主要成果:
- 深度学习模型从单个配置中准确预测了辐射分布函数 (RDF).
- 该方法证明了在不同的液体和条件下对液体结构的快速洞察.
- 对于具有不同复杂度和相互作用的液体,已经取得了成功的预测.
结论:
- 基于点云的深度学习方法可以快速预测液体结构性质.
- 这种方法显著减少了与传统分子模拟相关的计算负担.
- 该技术具有多功能性,适用于模拟,第一原则计算或实验数据的配置.
相关概念视频
Predicting Molecular Geometry
34.6K
VSEPR Theory for Determination of Electron Pair Geometries
34.6K
Molecular Comparison of Gases, Liquids, and Solids
41.6K
Particles in a solid are tightly packed together (fixed shape) and often arranged in a regular pattern; in a liquid, they are close together with no regular arrangement (no fixed shape); in a gas, they are far apart with no regular arrangement (no fixed shape). Particles in a solid vibrate about fixed positions (cannot flow) and do not generally move in relation to one another; in a liquid, they move past each other (can flow) but remain in essentially constant contact; in a gas, they move...
41.6K
Predicting Reaction Outcomes
8.5K
Kinetics describes the rate and path by which a reaction occurs. In contrast, thermodynamics deals with state functions and describes the properties, behavior, and components of a system. It is not concerned with the path taken by the process and cannot address the rate at which a reaction occurs. Although it does provide information about what can happen during a reaction process, it does not describe the detailed steps of what appears on an atomic or a molecular level. On the other hand,...
8.5K
¹H NMR of Conformationally Flexible Molecules: Temporal Resolution
886
At room temperature, the chair conformer of cyclohexane undergoes rapid ring flipping between two equivalent chair conformers at a rate of approximately 105 times per second. These two chair conformers are in equilibrium. The rapid ring flipping results in the interconversion of the axial proton to an equatorial proton and an equatorial to the axial proton. Such interconversions are too rapid and cannot be detected on the NMR timescale. Hence, the NMR spectrometer cannot distinguish between the...
886
Distillation: Vapor–Liquid Equilibria
2.9K
Distillation is a separation technique that takes advantage of the boiling point properties of disparate elements in a mixture. To perform distillation, we begin by heating a miscible mixture of two liquids with a significant difference in boiling points (at least 20°C). As the solution heats up and reaches the bubble point of the more volatile component, some molecules of the more volatile component transition into the gas phase and travel upward into the condenser, which is a glass tube...
2.9K
Molecular Models
38.7K
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.
38.7K


