Deep learning for molecular design - a review of the state of the art

Using natural language processing techniques to extract information on the properties and functionalities of energetic materials from large text corpora

Independent Vector Analysis for Data Fusion Prior to Molecular Property Prediction with Machine Learning

Machine Learning of Energetic Material Properties

Applying machine learning techniques to predict the properties of energetic materials