ArticleJournal of chemical information and modeling2023
Chemical Descriptors for a Large-Scale Study on Drop-Weight Impact Sensitivity of High Explosives.
Article in Journal of chemical information and modeling, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Detection and characterization of explosives and explosives residues: a review 2022-2025.Forensic science international. Synergy · 2026Review
- Monte Carlo-based QSPR modeling of drop-weight impact sensitivity of energetic materials using hybrid SMILES-graph descriptors.RSC advances · 2026Article
- The Synthesis and Ring-Opening Metathesis Polymerization of Energetic Norbornene Materials.ACS polymers Au · 2026Article
- Machine learning innovations for reliable gurney energy estimation in energetic materials.iScience · 2026Article
- The Explosive Hazards of Icosahedral Carboranes and Dodecaborate with Common Oxidizers and Salts.Inorganic chemistry · 2026Article
- Effects of external electric fields on the stability and thermal decomposition pathways of triazole-triazine-based energetic materials: a case study of TTX and its derivatives.Journal of molecular modeling · 2025Article
- Quantum chemical calculations based on 4,5-di(1,2,4-oxadiazol-3-yl)-2H-1,2,3-triazole and 3,3' -(2H-1,2,3-triazole-4,5-diyl)-bis(1,2,4-oxadiazol-5(4H)-one) derivatives: a DFT study.Journal of molecular modeling · 2025Article
- Structure and properties of pentazole ionic salts.Journal of molecular modeling · 2025Article
- Machine Learning Models for High Explosive Crystal Density and Performance.Chemistry of materials : a publication of the American Chemical Society · 2024Article
- An Integrated Experimental and Modeling Approach for Assessing High-Temperature Decomposition Kinetics of Explosives.Journal of the American Chemical Society · 2024Article
- Halogenated PETN derivatives: interplay between physical and chemical factors in explosive sensitivity.Chemical science · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The drop-weight impact test is an experiment that has been used for nearly 80 years to evaluate handling sensitivity of high explosives. Although the results of this test are known to have large statistical uncertainties, it is one of the most common tests due to its accessibility and modest material requirements. In this paper, we compile a large data set of drop-weight impact sensitivity test results (mainly performed at Los Alamos National Laboratory), along with a compendium of molecular and chemical descriptors for the explosives under test. These data consist of over 500 unique explosives, over 1000 repeat tests, and over 100 descriptors, for a total of about 1500 observations. We use random forest methods to estimate a model of explosive handling sensitivity as a function of chemical and molecular properties of the explosives under test. Our model predicts well across a wide range of explosive types, spanning a broad range of explosive performance and sensitivity. We find that properties related to explosive performance, such as heat of explosion, oxygen balance, and functional group, are highly predictive of explosive handling sensitivity. Yet, models that omit many of these properties still perform well. Our results suggest that there is not one or even several factors that explain explosive handling sensitivity, but that there are many complex, interrelated effects at play.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.