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This dataset supports the paper "A machine-learned interatomic potential for silica and its relation to empirical models". The paper is online here: The following files are provided: xyz-file containing all structures in the training database including forces and energies GAP file containing the corresponding parameters, which can be used for example for Lammps MD simulations Amorphous structure files for silica created by different interatomic potentials.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 182 | |
| downloads | 91 |

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Downloads provided by UsageCounts