Evidence map›Paper›PMID 39080089›Full record

ArticleJournal of molecular modeling2024

Investigating the impact of two representative nitro explosives on the thermal decomposition mechanism of DNTF through ab initio molecular dynamics.

Zhiwei Han, Jingyan Wang, Xinyue Zhang, Yaning Li, Biao He

Abstract read
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In one paragraph

Article in Journal of molecular modeling, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Zhiwei HanSchool of Safety Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China. hanzhiwei@njust.edu.cn.
Jingyan WangSchool of Safety Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China.
Xinyue ZhangSchool of Safety Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China.
Yaning LiSchool of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China.
Biao HeSchool of Safety Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China.

Funding

China Postdoctoral Science Foundation 2023M741713National Natural Science Foundation of China 12302440
6 · The paper itself

Abstract

contextTo investigate the influence of two typical nitro explosives, 2,6-diamino-3,5-dinitropyrazine-1-oxide (LLM-105) and nitroguanidine (NQ), on the thermal decomposition mechanism of 3,4-Bis (3-nitrofurazan-4-yl) furoxan (DNTF). The study simulates the dynamical behavior of the DNTF/DNTF, DNTF/NQ, and DNTF/LLM-105 systems at different temperatures. We analyzed their thermal decomposition mechanisms through decomposition processes, reaction paths, and product evolution. Building on our analysis of thermal decomposition mechanisms, we found that introducing these two components (NQ and LLM-105) significantly alters the decomposition mechanism of DNTF. This introduction promotes the breakdown of DNTF molecules, modifies the thermal decomposition processes, and consequently changes the reaction pathways. In the DNTF/DNTF system, the product C

methodsTo investigate the thermal decomposition mechanisms of DNTF/LLM-105 and DNTF/NQ composite energetic materials, the first-principles calculation software CP2K is used. The GFNI-xTB (Geometry, Frequency, and Noncovalent, eXtended Tight Binding) program within CP2K is employed. This method provides a powerful tool for performing calculations with arbitrary accuracy on complex systems.

Indexed as

AIMDDNTFReaction pathwayThermal decomposition

Identifiers

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Registered trials

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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.