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Record W2119869610 · doi:10.1002/prep.201380231

Future Research Areas

2013· article· en· W2119869610 on OpenAlexaboutno aff
William G. Proud

Bibliographic record

VenuePropellants Explosives Pyrotechnics · 2013
Typearticle
Languageen
FieldEngineering
TopicEnergetic Materials and Combustion
Canadian institutionsnot available
Fundersnot available
KeywordsPraiseSuccessor cardinalDetonationCompendiumExplosive materialHistoryArchaeologyPsychology

Abstract

fetched live from OpenAlex

The surge in the economies of China, India, and Brazil along with the long-awaited re-emergence of Russia has resulted in much more research globally and a corresponding increase in the amount of research in energetics materials. The year 2012 saw the publication of ‘Energetics Science and Technology in Central Europe’ by the Center for Energetic Concepts Development, University of Maryland. The editors deserve praise in producing a worthy successor to previous volumes. A quick scan of the contents page reveals the truly interdisciplinary nature of this field including molecular dynamics, mechanical characterisation and chemical synthesis, use (in quarrying) and degradation. In the paragraphs below I highlight some of the prime areas where I feel research continues to make exciting and relevant contributions. I do specifically highlight some individuals as their research provides an easy entry into the developments shown. A complete list of such researchers would be similar to the cumulative author index of this journal! In the area of detonation research, the on-going efforts of a number of researchers show considerable promise in analysing the detonation phenomena. The explosives group in the University Coimbra, Portugal (led by Prof. J. Campos) continue to produce excellent research using streak imagery in combination with high-speed photography. This allows meso-scale measurements on the progress of detonation waves across individual crystals in polymer-bonded explosives to be quantified. The progress of phase doppler velocimetry (PDV) in establishing itself as a complementary technique to the well-known VISAR system is rapid, researchers such as Dan Dolan at Sandia National Laboratory are pushing this growth. The low power of the laser systems used in PDV and the relative ease of operating this type of diagnostic have meant it is being used in a wide variety of materials. Researchers at the Atomic Weapons Establishment (AWE) in the UK are using this to measure the output of micro-detonator systems and obtain the time-resolved data that is necessary to obtain good quantitative comparisons between materials. I have used such a system to measure the shock transmission properties of different thicknesses of materials in very small scale gap-tests, revealing the structure of the stress waves with sub-nanosecond resolution. The criteria for ignition and growth of reaction, hot-spot formation, prove fertile ground. The research directions may be diverse – looking at polymer-bonded systems or crystal aggregates – but in association with chemical techniques developed in the pharmaceutical industry, co-crystallisation may provide a way of tailoring the sensitivity of materials without compromising on performance. This may via control of internal defects of the crystal, overall crystal morphology and the surface structure. In the UK, Prof. Colin Pulham at the University of Edinburgh is piloting this approach. It is obvious that a link between the meso-scale measurement of the progress of the detonation reaction zone along with good spatial-temporal resolution from PDV would be a powerful combination in linking the meso-structure, reaction sensitivity, and mechanical response which much modelling effort now demand. In addition to detonation and ignition studies, traditional energetics area, emerging aspects such as green energetics are increasingly a research priority. The environmental impact of energetics, the increasing pressure to remove lead salts, production of greenhouse gases, environmental clean-up costs and carbon-tax are drivers that will need to be addressed by the energetics community. Here there is much effort in the US, Canada and Europe. In an increasingly crowded and heavily-legislated market place many manufacturers are hoping to establish their green credentials. In all these areas the increased interaction and understanding between theorists, computer modellers and experimentalists across many branches of science and engineering is essential. The consequences of misunderstanding are costly in both a physical and a financial sense. In closing, I would like to say, that despite the financial constraints that many members of our community are operating under there exists a large drive to innovate, understand and apply the results of research; this journal provides an irreplaceable conduit for that interaction. William G. Proud Institute of Shock Physics Imperial College London

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.287
Threshold uncertainty score0.960

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.024
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0040.004
Science and technology studies0.0040.002
Scholarly communication0.0120.010
Open science0.0040.005
Research integrity0.0070.005
Insufficient payload (model declined to judge)0.2870.136

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.028
GPT teacher head0.248
Teacher spread0.220 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2013
Admission routes1
Has abstractyes

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