Multi-expression programming based model for prediction of formation enthalpies of nitro-energetic materials

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@Article{journals/es/BagheriGBS13,

• author = "Mehdi Bagheri and Amir Hossein Gandomi and Mehrdad Bagheri and Mohcen Shahbaznezhad",
• title = "Multi-expression programming based model for prediction of formation enthalpies of nitro-energetic materials",
• journal = "Expert Systems",
• year = "2013",
• volume = "30",
• number = "1",
• pages = "66--78",
• month = feb,
• keywords = "genetic algorithms, genetic programming, nitro-energetic materials, multi-expression programming, formation enthalpy, QSPR",
• DOI = "doi:10.1111/j.1468-0394.2012.00623.x",
• size = "33 pages",
• abstract = "There has been considerable interest in predicting the properties of nitro-energetic materials to improve their performance. Not to mention insightful physical knowledge, computational-aided molecular studies can expedite the synthesis of novel energetic materials through cost reduction labours and risky experimental tests. In this paper, quantitative structure-property relationship based on multi-expression programming employed to correlate the formation enthalpies of frequently used nitro-energetic materials with their molecular properties. The simple yet accurate obtained model is able to correlate the formation enthalpies of nitro-energetic materials to their molecular structure with the accuracy comparable to experimental precision.",

}

Genetic Programming entries for Mehdi Bagheri A H Gandomi Mehrdad Bagheri Mohcen Shahbaznezhad

Citations