Predicting the performance and stability parameters of energetic materials (EMs) using a machine learning-based q-RASPR approach
Shubham Kumar Pandey, Kunal Roy
Abstract
ML-based q-RASPR provides better predictions than QSPR for the performance and stability parameters of energetic materials (EMs).
Topics & Concepts
Stability (learning theory)Machine learningArtificial intelligenceComputer scienceEnergetic Materials and Combustion