Predicting the particle-agglomeration effect on the equivalent mechanical properties of dispersion nuclear fuel by machine learning
Yingxuan Dong, Junnan Lv, Tao Peng, Hong Zuo, Qun Li
Topics & Concepts
Dispersion (optics)Particle (ecology)Nuclear fuelThroughputMaterials scienceEconomies of agglomerationComputer scienceMechanical engineeringNuclear engineeringMechanicsEngineeringPhysicsOpticsOceanographyChemical engineeringGeologyWirelessTelecommunicationsNuclear Materials and PropertiesNuclear reactor physics and engineeringMachine Learning in Materials Science