[论文解读] Crystal Toolkit: A Web App Framework to Improve Usability and Accessibility of Materials Science Research Algorithms

Matthew Horton, Jimmy‐Xuan Shen+22 more|arXiv (Cornell University)|Feb 13, 2023

Scientific Computing and Data Management被引用 8

一句话总结

Crystal Toolkit 是一个开源的网页应用框架，用于可视化和变换晶体结构及相关材料数据，加速网页应用开发，并使材料算法对非程序员可访问；它为 Materials Project 前端提供支持。

ABSTRACT

Crystal Toolkit is an open source tool for viewing, analyzing and transforming crystal structures, molecules and other common forms of materials science data in an interactive way. It is intended to help beginners rapidly develop web-based apps to explore their own data or to help developers make their research algorithms accessible to a broader audience of scientists who might not have any training in computer programming and who would benefit from graphical interfaces. Crystal Toolkit comes with a library of ready-made components that can be assembled to make complex web apps: simulation of powder and single crystalline diffraction patterns, convex hull phase diagrams, Pourbaix diagrams, electronic band structures, analysis of local chemical environments and symmetry, and more. Crystal Toolkit is now powering the Materials Project website frontend, providing user-friendly access to its database of computed materials properties. In the future, it is hoped that new visualizations might be prototyped using Crystal Toolkit to help explore new forms of data being generated by the materials science community, and that this in turn can help new materials scientists develop intuition for how their data behaves and the insights that might be found within. Crystal Toolkit will remain a work-in-progress and is open to contributions from the community.

研究动机与目标

• 以以人为本的方式推动科学可视化与工具设计
• 提供忠实呈现、可组合的可视化，与材料科学中的常见软件对象相关联
• 降低门槛，使编程技能有限的研究人员也能使用 Python 构建网页应用
• 实现数据探索工具的快速原型开发，促进社区贡献

提出的方法

• 提供与 pymatgen 数据类型（Structures、Molecules、Band Structures、Pourbaix Diagrams 等）映射的现成组件库
• 基于 Dash（Python）和 React 构建，允许单文件 Python 开发的交互式网页应用与热模块替换
• 确保可视化忠实反映底层软件对象和科学抽象，并在对象之间实现可组合性
• 采用开源 BSD 许可证、以 GitHub 驱动的开发，鼓励广泛的社区参与与可持续性
• 与 Materials Project 集成，展示可扩展性和实际应用，包括 Catalysis Explorer 与 MOF Explorer 等应用

Figure 1: A timeline of molecular and crystallographic visualizations with several key advances highlighted. Throughout the history of chemistry and materials science, effective visualization has proven an invaluable tool to help develop intuition and unlock key new insights that have advanced the f

实验结果

研究问题

• RQ1 Crystal Toolkit 如何提高复杂材料科学数据可视化的可用性与可访问性，以适应不同编程经验的研究人员？
• RQ2 是否存在一套可组合、忠实可视化的库，映射到常见数据对象，能够降低错误率并提升在论文、笔记本和网页应用中的直觉性？
• RQ3 在保持对新数据类型可扩展性的前提下，该框架在处理大数据集和高并发网页应用时的可扩展性如何？
• RQ4 Crystal Toolkit 在促进社区贡献、推动材料科学中新可视化工具快速开发方面的作用有多大？
• RQ5 与现有库（如 pymatgen）的集成对可视化的保真度和可用性有何影响？

主要发现

• Crystal Toolkit 提供了与常见材料科学数据类型映射的现成组件，并可联动以实现连贯的可视化
• 该框架用于支持 Materials Project 的前端，便于用户访问大量已计算的材料性质数据库
• 它支持多样化的可视化（如晶体结构、带结构、Pourbaix 图、X 射线光谱、相 diagram、对称性、衍射图等）以及交互能力
• 该项目展示了开源开发、社区贡献以及组件的持续演进
• Crystal Toolkit 促成了 Materials Project 中新应用的快速开发，如 Catalysis Explorer 与 MOF Explorer，利用 MPContribs 数据
• Materials Project 的所有 146,000 种晶体结构的图片均通过 Crystal Toolkit 生成，作为示例演示

Figure 2: A design goal of Crystal Toolkit is to provide human-centered representations of software objects, and specifically to ensure that the default representations are as faithful to the underlying software object as possible so as to help the user gain intuition about the use of these objects.