Daniel Elton

Postdoctoral Researcher

Daniel C. Elton was a Postdoctoral Researcher in the Mechanical Engineering Department at the University of Maryland, College Park from June 2017 - January 2019, working with Prof. Peter W. Chung and Prof. Mark Fuge as part of the IDEAL Lab. His work focused on applying machine learning methods to molecular property prediction and molecular design. He received a Ph.D. from Stony Brook University in 2016 and his B.S. from Rensselaer Polytechnic Institute.


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