A novel approach for prediction of exothermic decomposition temperature of energetic complexes through additive and non-additive descriptors
Author:
Publisher
Springer Science and Business Media LLC
Subject
Physical and Theoretical Chemistry,Condensed Matter Physics
Link
https://link.springer.com/content/pdf/10.1007/s10973-022-11494-2.pdf
Reference76 articles.
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2. Keshavarz MH, Klapötke TM. Energetic compounds: methods for prediction of their performance. 2nd ed. New York: Walter de Gruyter GmbH & Co KG; 2020.
3. Keshavarz MH, Klapötke TM. The properties of energetic materials: sensitivity, physical and thermodynamic properties. 2nd ed. New York: Walter de Gruyter GmbH & Co KG; 2021.
4. Bao G, Abe RY, Akutsu Y. Bond dissociation energy and thermal stability of energetic materials. J Therm Anal Calorim. 2021;143(5):3439–45.
5. Liu S-H, Wang W-T, Das M, Shu C-M, Wang Y-R. Investigative calorimetric studies and kinetic parameters estimation using analytical methods for self-reactive hazardous chemicals in a chemical manufacturing plant. J Loss Prevent Process Ind. 2022;2022:104743.
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2. Descriptors applicability in machine learning-assisted prediction of thermal decomposition temperatures for energetic materials: Insights from model evaluation and outlier analysis;Thermochimica Acta;2024-05
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