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  • ML LMLFF (category Machine-learned force fields)
    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...
    1 KB (151 words) - 14:46, 19 October 2023
  • ML MODE (category Machine-learned force fields)
    initio calculations are performed and no learning is executed. This setting is typically used when the machine learning force field is considered mature and...
    9 KB (987 words) - 22:21, 19 October 2023
  • on that structure. Fig. 1: On-the-fly machine learning force field generation scheme. To obtain the machine-learning force field several structure datasets...
    35 KB (7,244 words) - 13:25, 24 April 2024
  • Machine learning force field calculations: Basics (category Machine-learned force fields)
    The machine-learned force fields (MLFF) feature of VASP allows you to generate, improve, modify and apply force fields based on machine learning techniques...
    11 KB (1,403 words) - 13:18, 17 May 2023
  • ML LOGFILE (category Machine-learned force fields) (section Machine learning setup)
    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...
    21 KB (2,342 words) - 15:01, 19 October 2023
  • theory, pseudopotentials, projector-augmented-wave formalism, phonons, machine learning force fields, hybrid functionals, GW approximation, etc. Calculation...
    9 KB (29 words) - 13:21, 19 March 2024
  • ML CTIFOR (category Machine-learned force fields)
    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...
    2 KB (218 words) - 06:46, 13 October 2023
  • ML IALGO LINREG (category Machine-learned force fields)
    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...
    4 KB (480 words) - 15:52, 3 July 2023
  • ML LSPARSDES (category Machine-learned force fields)
    Specifies whether angular-descriptor sparsification is enabled within the machine learning force field method. To use the sparsification of angular descriptors...
    2 KB (235 words) - 14:00, 20 March 2024
  • ML MCONF NEW (category Machine-learned force fields)
    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...
    1 KB (101 words) - 15:32, 19 October 2023
  • ML EPS LOW (category Machine-learned force fields)
    in the sparsification of local reference configurations within the machine learning force fields. This value sets the threshold for the eigenvalues that...
    2 KB (181 words) - 11:42, 15 May 2023
  • ML MHIS (category Machine-learned force fields)
    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...
    2 KB (219 words) - 09:49, 8 November 2023
  • 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...
    3 KB (545 words) - 06:42, 8 March 2022
  • ML CDOUB (category Machine-learned force fields)
    "enforced" DFT calculations within the machine learning force field method. The usage of this tag in combination with the learning algorithms is described here:...
    1,007 bytes (100 words) - 14:37, 19 October 2023
  • ML NRANK SPARSDES (category Machine-learned force fields)
    is measured within the angular descriptor sparsification (within the machine learning force field method). This tag usually does not need to be changed by...
    862 bytes (87 words) - 14:01, 20 March 2024
  • ML ISTART (category Machine-learned force fields)
    start from scratch, prediction-only,...) of the machine learning force fields method. If the machine learning force fields method is enabled via ML_LMLFF =...
    6 KB (819 words) - 14:40, 19 October 2023
  • ML MB (category Machine-learned force fields)
    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...
    3 KB (479 words) - 17:11, 15 February 2024
  • ML AB (category Machine-learned force fields)
    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...
    16 KB (1,702 words) - 08:32, 20 October 2023
  • charge mixing information from the previous ionic steps. (ii) During machine learning, the first-principles calculations are often bypassed for hundreds...
    4 KB (512 words) - 09:43, 18 October 2023
  • ML MRB1 (category Machine-learned force fields)
    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 (...
    1 KB (283 words) - 08:06, 9 May 2023
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