Showing 5 of 28 publications · Clear filters

1. 01
   Papers Defects, Shock & Surfaces Machine Learning & Data-Driven Discovery

   Machine Learning for Shock Compression of Solids Using Scarce Data

   S. Balakrishnan, F. G. VanGessel, B. C. Barnes, R. M. Doherty, W. H. Wilson, Z. Boukouvalas, M. D. Fuge, P. W. Chung

   Journal of Applied Physics , 133(15) , 155902 (2023)

   10.1063/5.0146296
2. 02
   Papers Machine Learning & Data-Driven Discovery

   Assessing the Trade-Off Between Prediction Accuracy and Interpretability for Topic Modeling on Energetic Materials Corpora

   M. Puerto, M. Kellett, R. Nikopoulou, M. D. Fuge, R. Doherty, P. W. Chung, Z. Boukouvalas

   arXiv:2206.00773 (2022)

3. 03
   Papers Machine Learning & Data-Driven Discovery

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

   Z. Boukouvalas, D. C. Elton, P. W. Chung, M. D. Fuge

   arXiv:1811.00628 (2019)

4. 04
   Papers Machine Learning & Data-Driven Discovery

   Deep Learning for Molecular Design: A Review of the State of the Art

   D. C. Elton, Z. Boukouvalas, M. D. Fuge, P. W. Chung

   Molecular Systems Design & Engineering , 4(4) , 828-849 (2019)

   10.1039/C9ME00039A
5. 05
   Papers Energetic Materials & RDX Machine Learning & Data-Driven Discovery

   Applying Machine Learning Techniques to Predict the Properties of Energetic Materials

   D. C. Elton, Z. Boukouvalas, M. S. Butrico, M. D. Fuge, P. W. Chung

   Scientific Reports , 8 , 9059 (2018)

   10.1038/s41598-018-27344-x