Mo-2024-06-05

../../_images/mlp_dist35.png

The current structure dataset comprises 13833 structures. Procedures to generate structures and estimate MLPs are found in A. Seko, J. Appl. Phys. 133, 011101 (2023).

Predictions using Pareto optimal MLPs

../../_images/eqm_properties35.png

These properties are calculated for MLP equilibrium structures obtained by performing local structure optimizations from the DFT equilibrium structures. These DFT equilibrium structures are obtained by optimizing prototype structures that are included in ICSD. As a result, the structure type of the converged structure may sometimes differ from the one shown in the legend.

The other properties predicted using each Pareto optimal MLP are available from column Predictions in the following table.

Mo-2024-06-05 shows large prediction errors. Distributed MLPs should be carefully used. MLPs are often accurate for reasonable structures, but it is sometimes inaccurate for unrealistic structures.

Pareto optimals (on convex hull)

Name

Time

RMSE

Predictions

Files

polymlp-00064

0.158 / 0.016

18.628 / 0.2238

–

–

polymlp-00093

0.195 / 0.020

15.944 / 0.2151

–

–

polymlp-00096

0.234 / 0.022

13.889 / 0.2020

–

–

polymlp-00065

0.412 / 0.033

9.405 / 0.1775

–

–

polymlp-00097

0.586 / 0.043

8.005 / 0.1662

predictions

polymlp.lammps polymlp.in

polymlp-00066

0.862 / 0.057

6.618 / 0.1625

predictions

polymlp.lammps polymlp.in

polymlp-00075

0.929 / 0.055

6.419 / 0.1590

predictions

polymlp.lammps polymlp.in

polymlp-00076

1.303 / 0.065

5.657 / 0.1499

predictions

polymlp.lammps polymlp.in

polymlp-00105

1.766 / 0.086

5.427 / 0.1451

predictions

polymlp.lammps polymlp.in

polymlp-00192

2.618 / 0.126

5.163 / 0.1504

predictions

polymlp.lammps polymlp.in

polymlp-00280

6.839 / 0.512

4.295 / 0.1345

predictions

polymlp.lammps polymlp.in

polymlp-00283

8.272 / 0.591

4.040 / 0.1314

predictions

polymlp.lammps polymlp.in

polymlp-00284

9.954 / 0.682

4.019 / 0.1335

predictions

polymlp.lammps polymlp.in

Units:

  • Time: [ms] (1core/36cores)

  • RMSE: [meV/atom]/[eV/ang.]

Column “Time” shows the time required to compute the energy and forces for 1 MD step and 1 atom, which is estimated from 10 runs for a large structure using a workstation with Intel(R) Xeon(R) CPU E5-2695 v4 @ 2.10GHz. Note that these MLPs should be carefully used for extreme structures. The MLPs often return meaningless values for them.

  • All Pareto optimal MLPs are available here.