Insights into the specific capacitance of CNT-based supercapacitor electrodes using artificial intelligence
Wael Z. Tawfik, Mohamed Shaban, Athira Raveendran, June Key Lee, Abdullah M. Al‐Enizi
Abstract
ratio on a single output parameter (particularly, the specific capacitance) the sensitivity analysis was also conducted using the SHapley Additive exPlanations (SHAP) framework. This investigation sheds light on the relative significance and effects of different input variables on the specific capacitance of supercapacitors based on CNTs. The results indicated that the ANN algorithm accurately predicted the capacitance of the CNT-based supercapacitor, demonstrating the feasibility and significance of neural network algorithms in the design of energy storage devices.
Topics & Concepts
SupercapacitorCapacitanceArtificial neural networkDecision treeElectrodeMaterials scienceRandom forestArtificial intelligenceComputer scienceTree (set theory)Biological systemNanotechnologyMathematicsChemistryBiologyPhysical chemistryMathematical analysisSupercapacitor Materials and FabricationConducting polymers and applicationsAdvanced Sensor and Energy Harvesting Materials