Comparison of algorithms for predicting plasma physical parameters of SF6–Cu mixtures at local thermodynamic equilibrium state via machine learning
In order to study the arc process of the SF6 circuit breaker during the current breaking process, it is necessary to calculate the physical parameters of the arc discharge plasma. However, the calculation of plasma physical parameters is very difficult and complicated and generally requires solving...
Guardado en:
Autores principales: | Can Ding, Qingchang Ding, Zhenyi Wang, Yiyuan Zhou, Chen Chen |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
AIP Publishing LLC
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/754e5c19dea54d9cb60d6ba188045df0 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Journal of non-equilibrium thermodynamics
Publicado: (1976) -
Solubility of Cinnarizine in (Transcutol + Water) Mixtures: Determination, Hansen Solubility Parameters, Correlation, and Thermodynamics
por: Faiyaz Shakeel, et al.
Publicado: (2021) -
Reentrant equilibrium disordering in nanoparticle–polymer mixtures
por: Dong Meng, et al.
Publicado: (2017) -
The non-equilibrium thermodynamics and kinetics of focal adhesion dynamics.
por: Joseph E Olberding, et al.
Publicado: (2010) -
A non‐uniform NSAF‐SF adaptive algorithm
por: P. P. S. Xavier, et al.
Publicado: (2021)