Community Accessible Datastore of High-Throughput Calculations: Experiences from the Materials Project

D. Gunter, S. Cholia, Anubhav Jain, M. Kocher, K. Persson, L. Ramakrishnan, S. Ong, G. Ceder
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引用次数: 10

Abstract

Efforts such as the Human Genome Project provided a dramatic example of opening scientific datasets to the community. Making high quality scientific data accessible through an online database allows scientists around the world to multiply the value of that data through scientific innovations. Similarly, the goal of the Materials Project is to calculate physical properties of all known inorganic materials and make this data freely available, with the goal of accelerating to invention of better materials. However, the complexity of scientific data, and the complexity of the simulations needed to generate and analyze it, pose challenges to current software ecosystem. In this paper, we describe the approach we used in the Materials Project to overcome these challenges and create and disseminate a high quality database of materials properties computed by solving the basic laws of physics. Our infrastructure requires a novel combination of highthroughput approaches with broadly applicable and scalable approaches to data storage and dissemination.
社区可访问的高通量计算数据存储:来自材料项目的经验
人类基因组计划等努力为向社会开放科学数据集提供了一个引人注目的例子。通过在线数据库提供高质量的科学数据,使世界各地的科学家能够通过科学创新使这些数据的价值成倍增加。同样,材料项目的目标是计算所有已知无机材料的物理性质,并使这些数据免费提供,以加速发明更好的材料。然而,科学数据的复杂性,以及生成和分析这些数据所需的模拟的复杂性,给当前的软件生态系统带来了挑战。在本文中,我们描述了我们在材料项目中使用的方法,以克服这些挑战,并通过解决基本物理定律来创建和传播高质量的材料属性数据库。我们的基础设施需要高吞吐量方法与广泛适用和可扩展的数据存储和传播方法的新颖组合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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