AIMC Topic: Superconductivity
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Machine-Learning Predictions of Critical Temperatures from Chemical Compositions of Superconductors.
Journal of chemical information and modeling
Sep 17, 2024
In the quest for advanced superconducting materials, the accurate prediction of critical temperatures () poses a formidable challenge, largely due to the complex interdependencies between superconducting properties and the chemical and structural cha...
Fe-based superconducting transition temperature modeling by machine learning: A computer science method.
PloS one
Aug 6, 2021
Searching for new high temperature superconductors has long been a key research issue. Fe-based superconductors attract researchers' attention due to their high transition temperature, strong irreversibility field, and excellent crystallographic symm...
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