MACE-MP-0
Emerging3papers using it
2024first seen
The 'MACE-MP-0' dataset/benchmark contains configurations of rutile TiO$_2$ used to evaluate the performance of machine-learning interatomic potentials when fine-tuned towards different density-functional theory target functionals.
Papers using MACE-MP-0 (3)
- Target-Distribution-Guided Cross-Functional Fine-Tuning of Machine-Learning Interatomic PotentialsFine-Tuning Universal Machine-Learned Interatomic Potentials: A Tutorial on Methods and ApplicationsDeciphering diffuse scattering with machine learning and the equivariant
foundation model: The case of molten FeO