HSE-06
Emerging3papers using it
2025first seen
The 'HSE06' benchmark is a hybrid density functional theory method used to evaluate the accuracy of machine-learning interatomic potentials by providing high-fidelity target functional energies for configurations.
Papers using HSE-06 (3)
- Target-Distribution-Guided Cross-Functional Fine-Tuning of Machine-Learning Interatomic PotentialsQuantum-Aware Generative AI for Materials Discovery: A Framework for Robust Exploration Beyond DFT BiasesDeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells