Shelf life prediction of picric acid via model-based kinetic analysis of its thermal decomposition

HIGHLIGHTS

• who: Roberto Sanchirico and collaborators from the Consiglio delle Ricerche (CNR), via Guglielmo Marconi, Napoli, Italy have published the article: Shelf Life Prediction of Picric Acid via Model-Based Kinetic Analysis of Its Thermal Decomposition, in the Journal: Materials 2022, 8899 of 13/Dec/2022
• what: In light of the results obtained, the methodology adopted in this study, which is based on the extraction the kinetics ofofthermal decomposition from dynamic DSCstudy data in the
• how: This paper proposes a quick and reliable approach to predicting the shelf life of EMs whose thermal decomposition . . .
  

   

  

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