Releases: mdi-group/mace-field
Releases · mdi-group/mace-field
General learning of electric response in inorganic materials
State of the MACE-Field package used for preprint: https://arxiv.org/abs/2508.17870.
Here we provide the MACE-Field models trained for this paper:
MACE-field-mp-0b3-medium-mh.modelmh finetuned on: MPtraj replay set (10000) of energies, forces and stresses; 2500 MP-Ferroelectric polarisations; and ~6000 MP-Dielectric BECs and polarisabilities.MACE-field-dielectric.modeltrained on ~6000 energies, BECs and polarisabilities from the MP-Dielectric dataset.MACE-field-ferroelectrics.modeltrained on energies, forces and polarisations from the MP-Ferroelectric dataset.MACE-field-BaTiO3.modeltrained on energies, forces, stresses, polarisations, BECs and polarisabilities from AIMD trajectories for BaTiO3 (Allegro-pol dataset).MACE-field-SiO2.modeltrained on energies, forces, stresses, polarisations, BECs and polarisabilities from AIMD trajectories for alpha quartz (SiO2) (Allegro-pol dataset).
NOTE: These models are compatible with this release version using the ScaleShiftFieldMACE model. These no longer work with the latest MACE-Field code. So please use the older package code tagged here for these models.
What's Changed
- MACE Field code by @Neutrino155 in #2
New Contributors
- @Neutrino155 made their first contribution in #2
Full Changelog: https://github.com/mdi-group/mace-field/commits/v1.0