Towards Extended Active Learning for Modelling Ferroelectric Switching: the Need for 'Gold Standards'
Materials
Investigates ferroelectric switching modeling by comparing four cost-effective DFT methods against high-accuracy ab initio approaches, aiming to establish reliable benchmarks for active learning workflows.
New See LICENSE file ferroelectric materialsactive learningDFT