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A Process for Visualizing Disordered Molecular Data with a Case Study in Bulk Water

机译:以散水为例的无序分子数据可视化过程

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Existing molecular visualizations do a good job of illuminating well-defined structures, but are ill-suited to visualizing subtle organization when the data is almost entirely disordered. We introduce a process to explore these subtle structures by visualizing an abstraction of the data. The process includes a quantitative verification step to mitigate the ambiguity induced by abstraction. We perform a case study using molecular dynamics simulation data of bulk water to demonstrate the efficacy of our process. The visualized abstractions show molecular behaviors which only happen amongst aggregates, and which would be occluded or indiscernible in a direct visualization. The effect is shown across multiple data sets with different temporal and thermal parameters. In conjunction with domain experts from the Chemistry department who performed the simulation, we confirm our observations using the quantitative verification step of our process.
机译:现有的分子可视化在照亮定义良好的结构方面做得很好,但是当数据几乎完全混乱时,不适合可视化微妙的组织。我们介绍了一种通过可视化数据抽象来探索这些细微结构的过程。该过程包括定量验证步骤,以减轻抽象引起的歧义。我们使用散装水的分子动力学模拟数据进行案例研究,以证明我们的过程的有效性。可视化的抽象显示仅在聚集体中发生的分子行为,在直接可视化中它们将被遮挡或难以区分。在具有不同时间和热参数的多个数据集中显示了这种影响。我们与化学部门的领域专家一起进行了模拟,我们使用过程的定量验证步骤来确认我们的观察结果。

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