SynCoTrain: a dual classifier PU-learning framework for synthesizability prediction
Sasan Amariamir, Janine George, Philipp Benner
Abstract
SynCoTrain is a PU-learning framework using dual GNN classifiers to predict material synthesizability. It leverages co-training to mitigate model bias and enhance generalizability.
Topics & Concepts
Artificial intelligenceClassifier (UML)Computer scienceDual (grammatical number)Machine learningPhilosophyLinguisticsMachine Learning in Materials ScienceComputational Drug Discovery MethodsCrystallization and Solubility Studies