Machine learning for chemistry: Basics and applications

Machine learning for chemistry: Basics and applications

Six popular machine learning models. (a) Decision tree; (b) feedforward neural network (Trans: transformation; Activ Func: activation functions); (c) convolution neural network (Conv: convolution; Pool: pooling); (d) recurrent neural network; (e) graph neural network; (f) transformer neural network. Credit: Yun-Fei Shi et al. In a review published in Engineering, scientists explore the burgeoning field of…

Read More