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Machine learning approach to map the thermal conductivity of over 2,000 neoteric solvents for green energy storage applications

Tarek Lemaoui, Ahmad S. Darwish, Ghaiath Almustafa, Abir Boublia, P.R. Sarika, Nabil Abdel Jabbar, Taleb Ibrahim, Paul Nancarrow, Krishna Kumar Yadav, Ahmed M. Fallatah, Mohamed Abbas, Jari S. Algethami, Yacine Benguerba, Byong‐Hun Jeon, Fawzi Banat, Inas M. AlNashef

2023Energy storage materials66 citationsDOI

Topics & Concepts

Eutectic systemThermal conductivityMaterials scienceIonic liquidArtificial neural networkWork (physics)Thermal energy storageThermalChemical spaceProcess engineeringComputer scienceThermodynamicsMachine learningOrganic chemistryComposite materialPhysicsChemistryEngineeringCatalysisAlloyBiochemistryDrug discoveryIonic liquids properties and applicationsPhase Equilibria and ThermodynamicsCarbon dioxide utilization in catalysis
Machine learning approach to map the thermal conductivity of over 2,000 neoteric solvents for green energy storage applications | Litcius