A Disorder-Aware Multi-fidelity Framework for Robust Prediction of Superconducting Critical Temperature

Nam Hai Le, Tri Minh Nguyen, Linh La, Sherif Abdulkader Tawfik, Truyen Tran

Submission Type: I want my submission to be considered for both oral and poster presentation.

Keywords: Superconductivity, Critical temperature, Multi-fidelity graph networks, Virtual nodes

TL;DR: We propose a disorder-aware multi-fidelity graph framework using virtual nodes to robustly predict the critical temperature of superconductors.

Confirmation Of Submission Requirements: I submit an abstract. It uses the template provided on the submission page and is no longer than 2 pages.

Submission Number: 166