Работы, цитирующие эту работу

Работ: 4

Работа: Enhancing prediction of electron affinity and ionization energy in liquid organic electrolytes for lithium-ion batteries using machine learning

1. DFT insights into the adsorption mechanism Mg and storage capacity on the biphenylene monolayer surface for Mg ion batteries

   Maher Ali Rusho, Abdulrahman T. Ahmed, Prakash Kanjariya +5

   СтатьяAdvancements in Battery MaterialsInorganic Chemistry Communications2025Цитирований: 2

   ABIABI:AkademIndex/openalex/2025.article.002801

2. Transition metal-functionalized hexagonal bipyramidal boron clusters as high-performance electrocatalysts for hydrogen evolution reaction: A DFT study

   Chou‐Yi Hsu, Ali B.M. Ali, Zainab H. Jamal +7

   СтатьяElectrocatalysts for Energy ConversionInternational Journal of Hydrogen Energy2025Цитирований: 2

   ABIABI:AkademIndex/openalex/2026.other.321562

3. Effective cooling and thermal management strategies for cylindrical lithium-ion battery pack system leveraging supercritical CO2

   Zainab Ali Bu sinnah, Karrar Ibrahim Abdulameer, Hyder H. Balla +7

   СтатьяAdvanced Combustion Engine TechnologiesApplied Thermal Engineering2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.000562

4. T-graphene monolayer as high-performance anode for Cs-ion batteries: A DFT study

   Maher Ali Rusho, A.M. Ahmad, Prakash Kanjariya +6

   СтатьяAdvancements in Battery MaterialsJournal of Physics and Chemistry of Solids2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.003002