About
Welcome to our cutting-edge Perovskite AI Platform, where innovation meets materials science to drive research and discovery forward. Our platform is designed with three core functions that enhance the efficiency, precision, and depth of materials research.
Automated Knowledge Graph Construction
Our platform features an advanced automated knowledge graph construction tool that extracts entities and relationships from extensive scientific literature. By organizing this data into structured knowledge graphs, researchers can easily explore complex interconnections and gain deeper insights into perovskite materials. This tool streamlines the analysis process, facilitating faster information retrieval and more comprehensive understanding.
Perovskite Large Language Model
At the heart of our platform is a large language model specifically trained on materials science literature, focusing on the perovskite domain. This specialized AI surpasses general-purpose models in providing accurate, context-aware responses to domain-specific questions, extracting relevant data, and summarizing complex research. With its exceptional performance in benchmarks, our perovskite language model serves as an essential tool for researchers seeking specialized and reliable insights.
AI Lab
We are building an AI Lab that integrates intelligent automation with material preparation. Utilizing AI-driven robotic arms, our lab automates processes such as titration and solution addition, ensuring consistent, precise, and reproducible results. This innovative approach not only enhances experimental efficiency but also reduces human error, paving the way for accelerated advancements in material synthesis.
Our Team
Our research is strongly supported by several outstanding academic teams:
· Professors Xiaowen Chu and Yongqi Zhang’s Team (Data Science and Analytics Thrust, Hong Kong University of Science and Technology (Guangzhou))
· Professor Chang Yan’s Team(Sustainable Energy and Environment Thrust, Hong Kong University of Science and Technology (Guangzhou))
· Academician Tongyi Zhang’s Team (Director of the Guangzhou Key Laboratory of Materials Informatics; Joint Faculty of the Advanced Materials Thrust and Sustainable Energy and Environment Thrust, Hong Kong University of Science and Technology (Guangzhou))
· Professor Yang Bai’s Team (Shenzhen Institute of Advanced Technology)
Contact us
Get in touch and join us in shaping the future of materials research with cutting-edge AI solutions！
- 020-88331234
- No.1 Du Xue Rd, Nansha District, Guangzhou