Работы, цитирующие эту работу

Работ: 2

Работа: Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis

1. Electrochemical transport and interfacial Chemistry of MoO ₂ –ordered mesoporous carbon nanocomposites for lithium-ion batteries

   Farag M. A. Altalbawy, I.B. Sapaev, Fathy A. El Saied +7

   СтатьяAdvancements in Battery MaterialsComposite Interfaces2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.010101

2. Machine learning-driven predictive maintenance models for hydrogen fuel cell systems in smart transportation networks

   Hayder M. Ali, Khushboo Tripathi, Bhaskar Marapelli +5

   СтатьяFuel Cells and Related MaterialsClean Energy Science and Technology2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.005273