Molecular Modeling Of The Sensitivities Of Energetic Materials


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Molecular Modeling of the Sensitivities of Energetic Materials


Molecular Modeling of the Sensitivities of Energetic Materials

Author: Didier Mathieu

language: en

Publisher: Elsevier

Release Date: 2022-04-01


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Molecular Modeling of the Sensitivities of Energetic Materials, Volume 22 introduces experimental aspects, explores the relationships between sensitivity, molecular structure and crystal structure, discusses insights from numerical simulations, and highlights applications of these approaches to the design of new materials. Providing practical guidelines for implementing predictive models and their application to the search for new compounds, this book is an authoritative guide to an exciting field of research that warrants a computer-aided approach for the investigation and design of safe and powerful explosives or propellants. Much recent effort has been put into modeling sensitivities, with most work focusing on impact sensitivity and leading to a lot of experimental data in this area. Models must therefore be developed to allow evaluation of significant properties from the structure of constitutive molecules. - Highlights a range of approaches for computational simulation and the importance of combining them to accurately understand or estimate different parameters - Provides an overview of experimental findings and knowledge in a quick and accessible format - Presents guidelines to implement sensitivity models using open-source python-related software, thus supporting easy implementation of flexible models and allowing fast assessment of hypotheses

Materials Informatics III


Materials Informatics III

Author: Kunal Roy

language: en

Publisher: Springer Nature

Release Date: 2025-03-01


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This contributed volume focuses on the application of machine learning and cheminformatics in predictive modeling for organic materials, polymers, solvents, and energetic materials. It provides an in-depth look at how machine learning is utilized to predict key properties of polymers, deep eutectic solvents, and ionic liquids, as well as to improve safety and performance in the study of energetic and reactive materials. With chapters covering polymer informatics, quantitative structure–property relationship (QSPR) modeling, and computational approaches, the book serves as a comprehensive resource for researchers applying predictive modeling techniques to advance materials science and improve material safety and performance.

Mechanochemical Processes in Energetic Materials


Mechanochemical Processes in Energetic Materials

Author: Adam A. L. Michalchuk

language: en

Publisher: Springer Nature

Release Date: 2020-11-23


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This book uses experimental and computational methods to rationalize and predict for the first time the relative impact sensitivities of a range of energetic materials. Using knowledge of crystal structures, vibrational properties, energy-transfer mechanisms, and experimentally measured sensitivities, it describes a model that leads to excellent correlation with experimental results in all cases. As such, the book paves the way for a new, fully ab initio approach for the design of safer energetic materials based solely on knowledge of their solid-state structures. Energetic materials (explosives, propellants, gas generators, and pyrotechnics) are defined as materials that release heat and/or gaseous products at a high rate upon stimulus by heat, impact, shock, sparks, etc. They have widespread military and civilian uses, including munitions, mining, quarrying, demolition, emergency signaling, automotive safety, and space exploration. One of their most important properties is sensitivity to accidental initiation during manufacture, transport, storage, and operation, which has important implications for their safe use.