Generative Matter

The Generative Matter database is a large-scale, structured collection of inorganic material synthesis recipes designed to support AI-assisted material discovery, computational design workflows, and architectural material research. The database comprises over 120,000 unique material compositions, each represented by a standardized synthesis protocol, associated physicochemical properties, and machine-readable descriptors suitable for downstream analysis and generative applications.

生成物质数据库（Generative Matter Database）是一款大规模结构化无机材料合成配方集，旨在为AI辅助材料发现、计算设计流程以及建筑材料研究提供支持。该数据库包含超过12万种独特材料组分，每种组分均配有标准化合成工艺、相关理化性质，以及适用于下游分析与生成式应用的机器可读描述符。