Accelerating materials discovery [草稿]

Computational materials discovery involves searching vast material spaces for potential candidates that have the optimal combination of suitable properties for target applications. High fidelity predictions are required to make meaningful predictions, so navigating a material space containing tens or hundreds of thousands of materials is a significant challenge. A tool that can help navigate through a maze of candidate materials will help accelerate the discovery process.