NEP Training Dataset for GaN/SiC Interfacial Thermal Transport

A neuroevolution potential training dataset supporting atomic-scale modeling of interfacial thermal transport. The 39.9 MB dataset, authored by Ning Wu, was last updated on May 10, 2026, and accompanies a paper published in Physical Review B.

Use Cases

• Training neuroevolution potentials based on atomic configurations described in the paper.
• Modeling interfacial thermal transport between GaN and SiC based on the dataset's structural data.
• Studying phonon-bridge-mediated thermal conduction mechanisms based on the atomic-scale bonding data.
• Benchmarking machine learning interatomic potentials for semiconductor interfaces.

Strengths

• Dataset is 39.9 MB in size, indicating a substantial collection of training data.
• Associated with a peer-reviewed publication in Physical Review B, suggesting scientific rigor.
• Available under a permissive CC-BY-4.0 license for open use and sharing.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale training.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Ning Wu via figshare.

Collection Method

Created for and referenced in the paper 'Atomic-scale bonding configurations and phonon-bridge-mediated interfacial thermal transport in GaN/SiC'.

Freshness

Last updated 2026-05-10 03:18:27.