JARVIS-Leaderboard

JARVIS-Leaderboard是一个由国家标准与技术研究所材料测量实验室开发的大型基准平台，用于材料设计方法的全面比较和基准测试。该数据集包含超过800万个数据点，涵盖了人工智能、电子结构、力场、量子计算和实验等多个类别。平台支持用户自定义任务的基准测试，并鼓励社区贡献数据集、代码和元数据。通过这个平台，研究人员可以评估各自领域内最先进的方法，添加现有基准的贡献模型，添加新的基准，以及比较新想法和方法与已知方法。

JARVIS-Leaderboard is a large-scale benchmark platform developed by the Materials Measurement Laboratory of the National Institute of Standards and Technology (NIST) for comprehensive comparison and benchmarking of materials design methodologies. This dataset comprises over 8 million data points, covering multiple categories including artificial intelligence (AI), electronic structure, force fields, quantum computing, and experimental research. The platform supports benchmarking for user-defined tasks, and encourages the community to contribute datasets, code, and metadata. Through this platform, researchers can evaluate state-of-the-art methods in their respective fields, contribute models to existing benchmarks, add new benchmarks, and compare novel ideas and methods against established approaches.