Interpretable Performance Models for Energetic Materials using Parsimonious Neural Networks. [PDF]
Appleton RJ +5 more
europepmc +1 more source
Synthesis of new-type, cost-effective and insensitive energetic materials via nitration of solid bituminous hydrocarbons. [PDF]
Abdolahi S, Soleiman-Beigi M.
europepmc +1 more source
Exploring an accurate machine learning model to quickly estimate stability of diverse energetic materials. [PDF]
Gou Q +6 more
europepmc +1 more source
Intramolecular Hydrogen Bonds Assisted Construction of Planar Tricyclic Structures for Insensitive and Highly Thermostable Energetic Materials. [PDF]
Liu Y +6 more
europepmc +1 more source
High-Density Energetic Materials with Low Mechanical Sensitivity and Twinning Derived from Nitroimidazole Fused Ring. [PDF]
Liu Y, Lv M, Zhang G, Dong Z, Ye Z.
europepmc +1 more source
Mechanical Sensitivity Improvement of CL-20 by Using Crystal Passivation: A Brief Review
Ruixiao Li +4 more
doaj +1 more source
High precision deep-learning model combined with high-throughput screening to discover fused [5,5] biheterocyclic energetic materials with excellent comprehensive properties. [PDF]
Liu Y +5 more
europepmc +1 more source
Detonation Performance of Insensitive Nitrogen-Rich Nitroenamine Energetic Materials Predicted from First-Principles Reactive Molecular Dynamics Simulations. [PDF]
Guo D +5 more
europepmc +1 more source

