India
IIT Madras develops AI platform with 185,000 alloy records for sustainable materials discovery
Researchers at the Indian Institute of Technology Madras (IIT Madras) have developed an AI platform that uses large language models to extract data from scientific papers, creating a large public database of metallic alloys. The platform aims to accelerate discovery of sustainable materials for electric vehicles, aerospace, renewable energy, and marine infrastructure.
Researchers at the Indian Institute of Technology Madras (IIT Madras) have developed an artificial intelligence platform to speed up the discovery of sustainable, high-performance metallic alloys. The platform is intended for applications including electric vehicles, aerospace, renewable energy, and marine infrastructure.
The team built one of the world's largest publicly available databases of advanced metallic alloys by using large language models (LLMs) to extract and organize information from more than 10,000 scientific research papers. The database contains 185,000 alloy records.
The databases and supporting software are available through the Alloy Tattvasar platform and GitHub for researchers, startups, and industries. The researchers also developed an automated AI pipeline to extract alloy composition data from scientific literature.
- IIT Madras alloy database
- IIT Madras AI research
- sustainable materials discovery
- Alloy Tattvasar
- advanced metallic alloys
- AI materials science
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