Shams, Fatin Abrar and Ratul, Rashed Hasan and Naf, Ahanf Islam and Samir, Syed Shaek Hossain and Abir, Samiur Rashid and Faisal, Fahim and Nishat, Mirza Muntasir and Hoque, Md Ashraful (2023) A Machine Learning Based Investigative Analysis for Predicting the Critical Temperature of Superconductors. EAI Endorsed Transactions on AI and Robotics.
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Abstract
INTRODUCTION: Ever since the initial discovery of superconductivity, the fundamental concept and the complex relationship between critical temperature and superconductive materials have been subject to extensive investigation. However, identifying superconductors that exhibit such behavior at normal
| Item Type: | Article |
|---|---|
| Date Deposited: | 04 Mar 2026 18:10 |
| Last Modified: | 11 Apr 2026 00:32 |
| URI: | http://eprints.eai.eu/id/eprint/51482 |
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