A Hessian-free Newton-Raphson method for the configuration of physics systems featured by numerically asymmetric force field. - Yu Liang; Zhenjun Shi; Peter W. Chung (Math. Comput. Simul., 2017)

Independent Vector Analysis for Data Fusion Prior to Molecular Property Prediction with Machine Learning. - Zois Boukouvalas; Daniel C. Elton; Peter W. Chung; Mark D. Fuge (CoRR, 2018)

Using natural language processing techniques to extract information on the properties and functionalities of energetic materials from large text corpora. - Daniel C. Elton; Dhruv Turakhia; Nischal Reddy; Zois Boukouvalas; Mark D. Fuge; Ruth M. Doherty; Peter W. Chung (CoRR, 2019)

Deep learning for molecular generation and optimization - a review of the state of the art. - Daniel C. Elton; Zois Boukouvalas; Mark D. Fuge; Peter W. Chung (CoRR, 2019)

Independent Vector Analysis for Molecular Data Fusion: Application to Property Prediction and Knowledge Discovery of Energetic Materials. - Zois Boukouvalas; Monica Puerto; Daniel C. Elton; Peter W. Chung; Mark D. Fuge (EUSIPCO, 2020)

Assessing the trade-off between prediction accuracy and interpretability for topic modeling on energetic materials corpora. - Monica Puerto; Mason Kellett; Rodanthi Nikopoulou; Mark D. Fuge; Ruth M. Doherty; Peter W. Chung; Zois Boukouvalas (CoRR, 2022)

An Automated Approach for Domain-Specific Knowledge Graph Generation─Graph Measures and Characterization. - Connor O'ryan; Kevin D. Hayes; Francis G. VanGessel; Ruth M. Doherty; William Wilson; John Fischer; Zois Boukouvalas; Peter W. Chung (J. Chem. Inf. Model., 2025)