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Pitfalls of choosing an order parameter for rare event calculations

机译:选择订单参数进行罕见事件计算的陷阱

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The mechanism of rare events in complex systems can be found by sampling dynamical paths thatconnect stable states. To calculate a rate using transition paths, an order parameter is required todescribe the progress of the reaction and to distinguish the initial and final states. In this work, wecompare two implementations of transition path sampling for Langevin paths, one for which pathsare sampled in configuration space and the other in the space of the random variables that describethe thermostat. These two approaches are found to give different rates for the rearrangement of aseven-particle cluster despite the fact that both are formally exact. The difference is understood interms of how efficiently the methbds sample states along the order parameter.The more efficientapproach takes the system to unexpected states that are allowed by a poor choice of order parameter.While transition path sampling is formally correct, we show how mistakes can be made when thesystem escapes to unknown states along an order parameter represented in terms of collectivevariables.
机译:复杂系统中罕见事件的机制可以通过对连接稳定状态的动态路径进行采样来找到。为了使用过渡路径计算速率,需要一个顺序参数来描述反应的进程并区分初始状态和最终状态。在这项工作中,我们比较了Langevin路径的过渡路径采样的两种实现方式,一种是在配置空间中采样路径,另一种是在描述恒温器的随机变量空间中采样。尽管这两种方法在形式上都是精确的,但发现它们为重均粒子簇的重排提供了不同的速率。从方法参数沿顺序参数的状态采样效率的角度理解差异,更有效的方法将系统带入顺序参数选​​择不当所允许的意外状态。虽然过渡路径采样在形式上是正确的,但我们展示了错误是如何实现的当系统沿以集体变量表示的阶跃参数逃逸到未知状态时,将执行此操作。

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