Работы, цитирующие эту работу

Работ: 3

Работа: Data driven simulations for accurately predicting thermodynamic properties of H2 during geological storage

1. 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

2. Modeling saturation exponent of underground hydrocarbon reservoirs using robust machine learning methods

   Abhinav Kumar, Paul Rodrigues, Ali Kamil Kareem +7

   СтатьяHydrocarbon exploration and reservoir analysisScientific Reports2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.002750

3. Application of hybrid gradient boosting machine to reliably predict rate of penetration

   Jianing Zhang, Farag M. A. Altalbawy, Tarak Vora +10

   СтатьяHigh-Velocity Impact and Material BehaviorPhysics and Chemistry of the Earth Parts A/B/C2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.008755