基于深度学习方法对分子系统的狭窄逃生问题的影响因素和最可能的过渡路径的分析
Jiangyan Liu1, Ming Yi1, Ting Gao2
1School of Mathematics and Physics, China University of Geosciences, Wuhan 430074, China.
Chaos (Woodbury, N.Y.)
|September 5, 2025
概括
物理信息神经网络 (PINNs) 在复杂领域模拟分子逃逸. 扩散扩大了逃生区域,但降低了整体逃生概率,为优化扩散过程提供了见解.
科学领域:
- 计算物理
- 数学模型
- 统计力学
背景情况:
- 对于理解生物和化学系统中的分子运输来说,狭窄逃生问题至关重要.
- 不规则的域几何和复杂的参数显著影响逃逸动态.
- 传统的方法难以满足这些复杂系统的计算需求.
研究的目的:
- 使用物理信息的神经网络 (PINNs) 调查不规则领域的分子逃逸动态.
- 分析关键参数 (扩散系数,角速度,域几何) 对逃逸行为的影响.
- 确定分子逃逸的最可能的过渡途径.
主要方法:
- 应用物理信息神经网络 (PINNs) 来解决底层的部分微分方程.
- 计算平均退出时间和逃离概率作为逃离行为的关键指标.
- 计算最可能的过渡路径以阐明分子运动机制.
主要成果:
- PINNs有效处理复杂的不规则域和参数变化.
- 增加扩散系数扩大了高概率逃生区域.
- 较高的扩散系数反常地降低了整体逃生概率.
结论:
- PINNs为研究复杂的扩散和逃逸问题提供了强大的工具.
- 参数调整,特别是扩散系数,需要仔细考虑以优化逃逸效率.
- 这项研究提供了对受约束环境中的分子运动机制的基础见解.
相关概念视频
Multi-input and Multi-variable systems
147
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
In the absence...
147
Avoidance Learning and Learned Helplessness
1.9K
Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
1.9K
Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model
126
Drugs administered through various routes can lead to nonlinear elimination, resulting in complex pharmacokinetic behaviors crucial to understanding efficacious drug dosing.
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
In the case of subcutaneously administered drugs,...
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
In the case of subcutaneously administered drugs,...
126
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
100
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
100
Laminar Flow: Problem Solving
249
Laminar flow occurs when a fluid moves smoothly in parallel layers with minimal mixing and turbulence. In fluid mechanics, ensuring laminar flow within a pipe is essential for precise control of flow characteristics, especially in engineering applications. The key factor in determining whether flow remains laminar is the Reynolds number, a dimensionless quantity that depends on the fluid's velocity, density, viscosity, and the pipe's diameter. A Reynolds number of 2100 or lower...
249
Predicting Reaction Outcomes
8.6K
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,...
8.6K


