Six popular machine learning models. (a) Decision tree; (b) feedforward neural network (Trans: transformation; Activ Func: activation functions); (c) convolution neural network (Conv: convolution; ...

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

In March, a paper in the Journal of the American Chemical Society sparked a heated Twitter debate on the value of machine learning for predicting optimal reaction pathways in synthetic chemistry. The ...

Flow chemistry engineering specialists Vapourtec is working with Accelerated Materials to develop the scope and potential of machine learning (ML) in flow chemistry. Machine learning delivers a number ...

Machine learning has huge potential as a tool to investigate new materials and new applications of existing materials, as well as to streamline and focus future experimentation through rapid screening ...

NEW YORK--(BUSINESS WIRE)--Accenture (NYSE: ACN) has made a strategic investment, through Accenture Ventures, in Good Chemistry Company, a company that uses quantum chemistry, machine learning and ...

The Japanese glass equipment maker AGI Group has acquired Chemtrix, a Dutch provider of flow chemistry reactors. AGI already owns Syrris, a maker of flow chemistry equipment for laboratory-scale ...