CA-9 Family

9 datasets | 122K total configurations

Dataset splits used to train a neural network interatomic potential with a focus on carbon.

Overview

Datasets

9

Total Downloads

287

Total Configurations

122K

Unique Elements

1

Property Types

3

Methods Used

1

Elements Included

1 Elements
C

Calculated Properties

3 Property Types
Energy (9 datasets) Atomic Forces (9 datasets) Cauchy Stress (9 datasets)

Methods

1 Methods
DFT-PBE

Software

1 Software
VASP

Member Datasets

9 Datasets
Dataset Name Downloads Configurations Elements Properties Links
CA-9_BB_training
Binning-binning configurations from CA-9 dataset used for training NNP_BB potential. CA-9 consists of configurations of ...
31 20,006 1 3
CA-9_BB_validation
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of conf...
44 4,003 1 3
CA-9_BR_training
Binning-random configurations from CA-9 dataset used for training NNP_BR potential. CA-9 consists of configurations of c...
30 20,013 1 3
CA-9_BR_validation
Binning-random configurations from CA-9 dataset used during validation step for NNP_BR potential. CA-9 consists of confi...
29 4,002 1 3
CA-9_RR_training
Random-random configurations from CA-9 dataset used for training NNP_RR potential. CA-9 consists of configurations of ca...
31 20,012 1 3
CA-9_RR_validation
Random-random configurations from CA-9 dataset used during validation step for NNP_RR potential. CA-9 consists of config...
36 4,001 1 3
CA-9_test
Test configurations from CA-9 dataset used to evaluate trained NNPs.CA-9 consists of configurations of carbon with curat...
33 2,726 1 3
CA-9_training
Configurations from CA-9 dataset used for training NNP_CA-9 potential. CA-9 consists of configurations of carbon with cu...
24 39,993 1 3
CA-9_validation
Configurations from CA-9 dataset used during validation step for NNP_CA-9 potential. CA-9 consists of configurations of ...
29 8,000 1 3