论文成果

Using convolutional neural networks to predict the optical properties of coated black carbon

This study developed a deep convolutional neural network (CNN) to predict the optical properties of coated black carbon particles and compared with those simulated by mutiple sphere T-matrix. The errors for large particle predictions are essentially <1 %.