Machine learning-guided optimization, predictive modeling, and experimental validation of MXene-based supercapacitors
Anjali R. Shelake, Vijay C. Karade, Manickam Selvaraj, Mohammed A. Assiri, Dipti D. More, Amruta D. Patil, Mukund G. Mali, Santosh S. Sutar, Rutuja U. Amate, Chan‐Wook Jeon, Tae Geun Kim, Tukaram D. Dongale
Topics & Concepts
SupercapacitorRandom forestArtificial neural networkCurse of dimensionalityCapacitive sensingCyclic voltammetryGradient boostingBoosting (machine learning)Computer scienceKey (lock)Linear regressionCapacitanceRegressionMaterials scienceArtificial intelligenceBiological systemCapacitorAlgorithmFabricationEnergy (signal processing)Regression analysisMachine learningSupport vector machineDimensionality reductionElectrochemistryBackpropagationElectronic engineeringPattern recognition (psychology)Feature selectionStepwise regressionData modelingFeature (linguistics)ImaginationPredictive modellingSupercapacitor Materials and FabricationMXene and MAX Phase MaterialsAdvanced Memory and Neural Computing