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control tag which enables/disables the use of machine learning force fields. If ML_LMLFF = .FALSE. machine learning force fields are disabled and all related...

initio calculations are performed and no learning is executed. This setting is typically used when the machine learning force field is considered mature and...

on that structure. Fig. 1: On-the-fly machine learning force field generation scheme. To obtain the machine-learning force field several structure datasets...

The machine-learned force fields (MLFF) feature of VASP allows you to generate, improve, modify and apply force fields based on machine learning techniques...

initio log output in the OUTCAR and OSZICAR files for machine learning VASP runs. The machine learning log file is split into multiple sections, visually...

theory, pseudopotentials, projector-augmented-wave formalism, phonons, machine learning force fields, hybrid functionals, GW approximation, etc. Calculation...

estimation on the force within the machine learning force field method. The use of this tag in combination with the learning algorithms is described here: here...

equations in the ridge regression method for machine learning. In the ridge regression method for machine learning one needs to solve for the unknown weights...

Specifies whether angular-descriptor sparsification is enabled within the machine learning force field method. To use the sparsification of angular descriptors...

candidates for the training data in the machine learning force field method. The use of this tag in combination with the learning algorithms is described here: here...

in the sparsification of local reference configurations within the machine learning force fields. This value sets the threshold for the eigenvalues that...

in memory to determine the threshold for the Bayesian error in the machine learning force field method for ML_ICRITERIA=1. For ML_ICRITERIA=2, the history...

to the OSZICAR file is also written for force-field only steps when machine learning force fields are used. In that case the E0 entry contains the same...

"enforced" DFT calculations within the machine learning force field method. The usage of this tag in combination with the learning algorithms is described here:...

is measured within the angular descriptor sparsification (within the machine learning force field method). This tag usually does not need to be changed by...

start from scratch, prediction-only,...) of the machine learning force fields method. If the machine learning force fields method is enabled via ML_LMLFF =...

reference configurations (i.e. basis functions in the kernel) in the machine learning force field method. The defaults for ML_MB are different for each different...

used as input (with file name ML_AB) and output (ML_ABN) within the machine learning force field method. It contains the collection of ab initio data from...

charge mixing information from the previous ionic steps. (ii) During machine learning, the first-principles calculations are often bypassed for hundreds...

descriptor ρ i ( 2 ) ( r ) {\displaystyle \rho _{i}^{(2)}(r)} within the machine learning force field method. The radial descriptor is constructed from ρ i (...

descriptor ρ i ( 2 ) ( r ) {\displaystyle \rho _{i}^{(2)}(r)} within the machine learning force field method. The radial descriptor is constructed from ρ i (...

(ML_CTIFOR) is updated within the machine learning force field methods. The use of this tag in combination with the learning algorithms is described here:...

Bayesian error estimation in the machine learning force field method. The usage of this tag in combination with the learning algorithms is described here:...

Bayesian error estimation in the machine learning force field method. The usage of this tag in combination with the learning algorithms is described here:...

number of structures stored in memory that are used for training in the machine learning force field method. The defaults for ML_MCONF are different for each...

radial basis functions used to expand the angular descriptor within the machine learning force field method. The angular descriptor is constructed from ρ i...

descriptor ρ i ( 3 ) ( r ) {\displaystyle \rho _{i}^{(3)}(r)} in the machine learning force field method. The unit of the cut-off radius is Å {\displaystyle...

descriptor ρ i ( 3 ) ( r ) {\displaystyle \rho _{i}^{(3)}(r)} within the machine learning force field method. The angular descriptor is constructed from ρ i...

{\displaystyle \beta } for the radial (and angular) descriptor within the machine learning force field method (see this section). The weight for the angular descriptor...

whether the regularization parameters are kept constant or not in the machine learning force field method. The following cases are possible for this tag:...

computation during on-the-fly learning: Do not set MAXMIX>0 when using force fields for machine learning. During machine learning, first-principles calculations...

weight for the scaling of the forces in the training data within the machine learning force field method. ML_IWEIGHT, ML_WTOTEN, ML_WTIFOR, ML_WTSIF form...

weight for the scaling of the stress in the training data within the machine learning force field method. ML_IWEIGHT, ML_WTOTEN, ML_WTIFOR, ML_WTSIF form...

s_{\mathrm {w} }} (see here for definition) for the fitting in the machine learning force field method. The default value for ML_MODE=REFIT works reliable...

filtering parameter for the angular filtering for ML_IAFILT2 in the machine learning force field method. This tag is only used if ML_LAFILT2=.TRUE. and...

tag selects the descriptor type of the three-body descriptor used in machine learning force fields. This tag selects how the three-body descriptor is calculated...

Description: This tag specifies how to scale the energy data in the machine learning force field method. The following cases are possible: ML_ISCALE_TOTEN...

how the Bayesian error threshold (ML_CTIFOR) is updated within the machine learning force field method. ML_CTIFOR determines whether a first-principles...

s_{\mathrm {v} }} (see here for definition) for the fitting in the machine learning force field method. If the regularization needs to be controlled manually...

activated in order to calculate the chemical potentials within the machine learning force field method. In thermodynamic integration a coupling parameter...

This binary file contains a knewly created force field from machine learning runs with the options ML_MODE=train, refit or select. It's structure is identical...

Description: This tag specifies the type of angular filtering used in the machine learning force field method. Fig. 1: Square of filtering function. This tag...

tag specifies whether angular filtering is applied or not within the machine learning force field method. For the desciption of the filters please see: ML_IAFILT2...

parameter for the calculation of the chemical potential within the machine learning force field method. For thermodynamic integration calculations please...

parameter is introduced to calculate the chemical potential within the machine learning force field method. Atom are ordered according to the POSCAR file and...

parameter is introduced to calculate the chemical potential within the machine learning force field method. For thermodynamic integration calculations please...

normalizing and weighting the energies, forces, and stresses in the machine learning force field method. To achieve optimal training it is important to...

the bug report. 6.4.1 6.4.0 2023-03-07 Output of memory estimate in machine learning force fields is wrong for SVD refitting: The SVD algorithm (ML_IALGO_LINREG=3...

to get training samples in the machine learning force field method. The usage of this tag in combination with the learning algorithms is described here:...

spherical harmonics used to expand atomic distributions within the machine learning force field method. To construct an atomic environment descriptor the...