Litcius/Paper detail

Guiding the optimization of membraneless microfluidic fuel cells via explainable artificial intelligence: Comparative analyses of multiple machine learning models and investigation of key operating parameters

Dang Dinh Nguyen, Muhammad Tanveer, Hang‐Nga Mai, Thinh Pham, Haroon Khan, Cheol Woo Park, Gyu Man Kim

2023Fuel25 citationsDOI

Topics & Concepts

Particle swarm optimizationComputer sciencePower (physics)Key (lock)Process (computing)Decision treeBlack boxArtificial intelligenceMachine learningEvolutionary algorithmMathematical optimizationProcess engineeringMathematicsEngineeringOperating systemComputer securityPhysicsQuantum mechanicsFuel Cells and Related MaterialsElectrocatalysts for Energy ConversionAdvanced Memory and Neural Computing
Guiding the optimization of membraneless microfluidic fuel cells via explainable artificial intelligence: Comparative analyses of multiple machine learning models and investigation of key operating parameters | Litcius