自动化基于合规的消除和扩展管道(PACE2):高通量生物分子材料模拟工作流程的系统框架

IF 4.9 3区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY JPhys Materials Pub Date : 2023-11-02 DOI:10.1088/2515-7639/ad08d0
Srinivas C. Mushnoori, Ethan Zang, Akash Banerjee, Mason Hooten, Andre Merzky, Matteo Turilli, Shantenu Jha, Meenakshi Dutt
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引用次数: 0

摘要

摘要:利用系综分子动力学(MD)可以有效地研究生物分子材料在不同成分和外部条件下通过自组装和融合等动态界面过程形成的过程。然而,当研究一个大的组合物相空间时,这种方法需要大量的模拟。此外,很难预测每个模拟是否产生具有所需特性或结果的生物分子材料,以及每个模拟将运行多长时间。这些困难可以通过基于规则的管理系统来克服,包括间歇性检查、可变采样、过早终止或延长单个MD模拟。自动化这样的管理系统可以显著提高运行时效率,减少组织大型MD模拟集合的负担。为此,提出了一个用于高通量集成生物分子材料模拟的计算框架,即自动化基于顺应性的消除和扩展管道(PACE2)。PACE2框架包含候选管道,其中每个管道包括暂时分离的模拟和分析任务。当MD模拟完成后,将触发一个分析任务,该任务将评估MD轨迹是否符合要求。兼容的模拟扩展到下一个MD阶段,具有合适的采样率,以允许额外的,详细的分析。不兼容的模拟被消除,它们的计算资源被重新分配或释放。该框架被设计为在本地桌面计算机和高性能计算资源上运行。提出了使用PACE2框架实现的初步科学结果,证明了它的潜力并验证了它的功能。在未来,该框架将被扩展到解决广义的工作流程,并研究其他类别材料的组成-结构-属性关系。
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Pipelines for Automating Compliance-based Elimination and Extension (PACE2): A Systematic Framework for High-throughput Biomolecular Materials Simulation Workflows
Abstract The formation of biomolecular materials via dynamical interfacial processes, such as self-assembly and fusion, for diverse compositions and external conditions can be efficiently probed using ensemble Molecular Dynamics (MD). However, this approach requires many simulations when investigating a large composition phase space. In addition, there is difficulty in predicting whether each simulation is yielding biomolecular materials with the desired properties or outcomes and how long each simulation will run. These difficulties can be overcome by rules-based management systems, including intermittent inspection, variable sampling, and premature termination or extension of the individual MD simulations. Automating such a management system can significantly improve runtime efficiency and reduce the burden of organizing large ensembles of MD simulations. To this end, a computational framework, the Pipelines for Automating Compliance-based Elimination and Extension (PACE2), is proposed for high-throughput ensemble biomolecular materials simulations. The PACE2 framework encompasses Candidate pipelines, where each pipeline includes temporally separated simulation and analysis tasks. When a MD simulation is completed, an analysis task is triggered, which evaluates the MD trajectory for compliance. Compliant simulations are extended to the next MD phase with a suitable sample rate to allow additional, detailed analysis. Non-compliant simulations are eliminated, and their computational resources are reallocated or released. The framework is designed to run on local desktop computers and high-performance computing resources. Preliminary scientific results enabled by the use of PACE2 framework are presented, which demonstrate its potential and validates its function. In the future, the framework will be extended to address generalized workflows and investigate composition-structure-property relations for other classes of materials.
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来源期刊
JPhys Materials
JPhys Materials Physics and Astronomy-Condensed Matter Physics
CiteScore
10.30
自引率
2.10%
发文量
40
审稿时长
12 weeks
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