Generalizable classification of crystal structure error types using graph attention networks
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Materials Chemistry A"
DOI: 10.1039/d5ta05426e
Abstract: Graph neural network models classifying errors (e.g., omitted hydrogens, charge imbalance, disorder) in crystal structure databases are developed which attain high accuracy and generalizable performance across various domains of chemistry. read more here.
Keywords: crystal; chemistry; generalizable classification; crystal structure ... See more keywords
Towards Generalizable Classification of Partial Discharges in Gas-Insulated HVDC Systems Using Neural Networks: Protrusions and Particles
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Power Delivery"
DOI: 10.1109/tpwrd.2024.3369872
Abstract: Undetected partial discharges (PDs) are a safety critical issue in high voltage (HV) gas-insulated systems (GIS). While the diagnosis of PDs under AC voltage is well-established, the analysis of PDs under DC voltage remains an… read more here.
Keywords: generalizable classification; gas insulated; voltage; partial discharges ... See more keywords