Работы, цитирующие эту работу

Работ: 4

Работа: Machine learning for molecular and materials science

1. Neural network and experimental thermodynamics study of YCrO3-δ for efficient solar thermochemical hydrogen production

   Jian Cong, Tianzeng Ma, Zheshao Chang +4

   СтатьяChemical Looping and Thermochemical ProcessesRenewable Energy2023Цитирований: 0

   ABIABI:AkademIndex/openalex/2023.article.001656

2. Accelerating single-atom ORR catalyst discovery through theory and machine learning: a critical review

   Anuj Kumar, Parth Bishnoi, Akshay Parmar +3

   СтатьяElectrocatalysts for Energy ConversionCoordination Chemistry Reviews2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.008119

3. Nanocomposite polymer electrolytes: fabrication strategies, characterization and future perspectives for sustainable energy

   Jasur Shodmanov, Sherzod Koraboyev, Azim Abdullaev +2

   СтатьяAdvanced Battery Materials and TechnologiesIranian Polymer Journal2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.016264

4. Interpretable machine learning analysis of catalyst and reaction parameters governing CO₂ hydrogenation to light hydrocarbons

   Adham Norkobilov, Azizbek Kamolov, Zafar Turakulov +9

   СтатьяCatalysts for Methane ReformingJournal of King Saud University - Engineering Sciences2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.017171