Работы, цитирующие эту работу

Работ: 5

Работа: A systematic resilience assessment framework for multi-state systems based on physics-informed neural network

1. Robust development of data-driven models for methane and hydrogen mixture solubility in brine

   Kashif Saleem, Abhinav Kumar, KDV Prasad +7

   СтатьяAtmospheric and Environmental Gas DynamicsGeomechanics and Geophysics for Geo-Energy and Geo-Resources2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.001044

2. Carbon dioxide solubility in polyethylene glycol polymer: an accurate intelligent estimation framework

   Fadhel F. Sead, Dharmesh Sur, Anupam Yadav +7

   СтатьяPolymer Foaming and CompositesScientific Reports2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.001980

3. Modeling CO ₂ solubility in polyethylene glycol polymer using data driven methods

   YunLi Lei, Fadhel F. Sead, Dharmesh Sur +8

   СтатьяPhase Equilibria and ThermodynamicsSeparation Science and Technology2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.002038

4. Hybrid gradient boosting machine for precise prediction of biomass net output power in terms of proximate analysis

   L W Zhang, Ahmad Alkhayyat, Ahmad Almalkawi +8

   СтатьяThermochemical Biomass Conversion ProcessesEnergy Exploration & Exploitation2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.017241

5. Development of hybrid smart models to accurately model nano-polyethylene glycol composite viscosity

   Tianxiang Li, Ayat Hussein Adhab, Vicky Jain +11

   СтатьяPolymer Nanocomposites and PropertiesChemical Papers2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.002652