Te-2024-06-11-hybrid

../../_images/mlp_dist58.png

The current structure dataset comprises 33888 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_properties58.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.

Te-2024-06-11-hybrid 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-00035

0.125 / 0.014

15.075 / 0.1473

–

–

polymlp-00064

0.158 / 0.016

14.109 / 0.1416

–

–

polymlp-00067

0.188 / 0.017

13.479 / 0.1355

–

–

polymlp-00180

0.379 / 0.030

11.023 / 0.1310

–

–

polymlp-00183

0.413 / 0.032

10.679 / 0.1261

–

–

polymlp-00188

0.438 / 0.034

10.507 / 0.1254

–

–

polymlp-00183-hybrid-0003

0.645 / 0.027

9.096 / 0.1164

–

–

polymlp-00183-hybrid-0004

0.712 / 0.030

8.716 / 0.1152

–

–

polymlp-00152

0.787 / 0.044

8.312 / 0.1169

predictions

polymlp.lammps polymlp.in

polymlp-00155

0.832 / 0.052

8.101 / 0.1146

predictions

polymlp.lammps polymlp.in

polymlp-00189

1.080 / 0.062

7.521 / 0.1093

predictions

polymlp.lammps polymlp.in

polymlp-00107

1.602 / 0.078

6.323 / 0.1025

predictions

polymlp.lammps polymlp.in

polymlp-00107-hybrid-0003

2.002 / 0.079

5.832 / 0.0961

predictions

polymlp.lammps polymlp.in

polymlp-00107-hybrid-0004

2.156 / 0.086

5.657 / 0.0963

predictions

polymlp.lammps polymlp.in

polymlp-00107-hybrid-0008

2.393 / 0.094

5.502 / 0.0950

predictions

polymlp.lammps polymlp.in

polymlp-00136-hybrid-0004

3.206 / 0.125

5.032 / 0.0901

predictions

polymlp.lammps polymlp.in

polymlp-00136-hybrid-0008

3.463 / 0.134

4.930 / 0.0893

predictions

polymlp.lammps polymlp.in

polymlp-00165-hybrid-0004

5.115 / 0.256

4.538 / 0.0870

predictions

polymlp.lammps polymlp.in

polymlp-00165-hybrid-0008

5.403 / 0.274

4.473 / 0.0862

predictions

polymlp.lammps polymlp.in

polymlp-00253-hybrid-0010

9.407 / 0.559

4.199 / 0.0847

predictions

polymlp.lammps polymlp.in

polymlp-00253-hybrid-0018

10.221 / 0.583

4.286 / 0.0846

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.