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Minimum Ignition Energy (MIE) prediction models for ignition sensitive fuels using machine learning methods
Institution:1. Department of Chemistry, Payame Noor University (PNU), 19395-4697 Tehran, Iran;2. Department of Pharmaceutical Chemistry, Faculty of Pharmaceutical Chemistry, Tehran medical sciences, Islamic Azad University, Tehran, Iran;3. Department of Chemistry, Kurukshetra University, Kurukshetra, Haryana 136119, India;1. Department of Chemical and Biochemical Engineering, Technical University of Denmark, DK-2800 Lyngby, Denmark;2. Chemical and Petroleum Engineering Department, Sharif University of Technology, Tehran, Iran;3. Sharif Energy Research Institute, Sharif University of Technology, Tehran, Iran;1. Mary Kay O’Connor Process Safety Center, Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX, 77843, United States;2. Gas & Fuels Research Center, Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX, 77843, United States
Abstract:
Keywords:Minimum ignition energy (MIE)  Quantitative structure-property relationship (QSPR)  Machine learning
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