IIT Madras Unveils AI Database for Sustainable Alloys
Researchers use LLMs to mine 10,000 papers, creating a 185,000-record database to speed up materials discovery.
A digital screen in a laboratory displaying AI-generated 3D models of metallic alloys and scientific data sets.
Photo: Kronos Digital News
Researchers at the Indian Institute of Technology (IIT) Madras have launched Alloy Tattvasar, an open-source AI platform for materials discovery [1]. The system uses large language models to extract data from more than 10,000 research papers [2][3]. This effort has resulted in a database containing 185,000 structured records [1].
The platform aims to accelerate the development of sustainable metallic alloys [1][2]. These materials are critical for sectors including electric vehicles, aerospace, and renewable energy infrastructure [1]. By automating complex data mining, the tool significantly reduces the time needed to identify promising new material combinations [3].
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Sources
- 1.↗
timesofindia.indiatimes.com
https://timesofindia.indiatimes.com/education/news/iit-madras-develops-ai-platform-with-185000-alloy-records-for-sustainable-materials-discovery/articleshow/133459656.cms
- 2.↗
bestcolleges.indiatoday.in
https://bestcolleges.indiatoday.in/latest-news/iit-madras-develops-ai-platform-with-185-lakh-alloy-records-for-sustainable-materials-discovery-11176
- 3.↗
skilloutlook.com
https://skilloutlook.com/education/iit-madras-researchers-develop-worlds-largest-open-database-of-advanced-alloys-to-speed-up-development-of-sustainable-materials-design
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