SuperConGenAIGenerating Novel Superconductors from desired TcWhat is SuperConGenAI?
SuperConGenAI is an advanced AI-driven model that generates novel superconducting materials based on target critical temperature (Tc). Trained on the SuperCon dataset, it predicts candidate compositions that meet specified Tc values, enabling data-driven exploration of high-Tc superconductors. Designed to accelerate materials discovery, it supports research and development in condensed matter physics, quantum materials, and superconducting technologies.
Author: Neerada Mapalagama
SuperConGenAI is owned and developed by ONM. All intellectual property rights in and to SuperConGenAI, including its software, algorithms, trained models, and related materials, are the exclusive property of ONM. The SuperCon dataset is owned by its respective rights holders, and ONM does not claim ownership of the dataset.
Data Sources
SuperCon (MDR SuperCon) - Superconducting Material Database
National Institute for Materials Science (NIMS)
https://doi.org/10.48505/nims.3837
Limitations
This project is intended for educational and research exploration purposes only. The generated superconductors are produced by AI models trained on experimental data from the SuperCon database. While these models capture statistical trends, the resulting compositions are not guaranteed to correspond to experimentally known, synthesizable, or thermodynamically stable superconductors. All outputs should be treated as hypothetical candidates and require further validation through computational or experimental methods.