
Dataset files for DeepH-hybrid, containing structures and preprocessed Hamiltonian matrices computed with HSE06 hybrid functional and ABACUS DFT package. Enclosed include: The four datasets corresponding to the four DeepH-hybrid models mentioned in DeepH-hybrid's paper, each containing material structures and electronic structure properties of Basis set files for the ABACUS DFT package Snapshot of a version of the additional codes utilized to preprocess hybrid DFT Hamiltonians (also available via this GitHub link) Note only the additional codes of DeepH-hybrid is provided, and it may be used in combination with DeepH-E3 package for neural-network training. For additional details please refer to the "README" file of the code.
| 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). | 2 | |
| 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. | Top 10% | |
| 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 |
