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Detailed Reaction Kinetics for Hydrocarbon Fuels: The Development and Application of the ReaxFF CHO -S22 Force Field for C/H/O Systems with Enhanced Accuracy.

Qingqing WangQi HeBin XiaoDong ZhaiYiheng ShenYi LiuWilliam A Goddard Iii
Published in: The journal of physical chemistry. A (2024)
Efficient and accurate reactive force fields (e.g., ReaxFF) are pivotal for large-scale atomistic simulations to comprehend microscopic combustion processes. ReaxFF has been extensively utilized to describe chemical reactions in condensed phases, but most existing ReaxFF models rely on quantum mechanical (QM) data nearly two decades old, particularly in hydrocarbon systems, constraining their accuracy and applicability. Addressing this gap, we introduce a reparametrized ReaxFF CHO -S22 for C/H/O systems, tailored for studying the pyrolysis and combustion of hydrocarbon fuel. Our approach involves high-level QM benchmarks and large database construction for C/H/O systems, global ReaxFF parameter optimization, and molecular dynamics simulations of typical hydrocarbon fuels. Density functional theory (DFT) computations utilized the M06-2X functional at the meta-generalized gradient approximation (meta-GGA) level with a large basis set (6-311++G**). Our new ReaxFF CHO -S22 model exhibits a minimum 10% enhancement in accuracy compared to the previous ReaxFF models for a large variety of hydrocarbon molecules. This advanced ReaxFF CHO -S22 not only enables efficient large-scale studies on the microscopic chemical reactions of more complex hydrocarbon fuel but also can extend to biofuels, energetic materials, polymers, and other pertinent systems, thus serving as a valuable tool for studying chemical reaction dynamics of the large-scale hydrocarbon condensed phase at an atomistic level.
Keyphrases
  • molecular dynamics simulations
  • molecular docking
  • density functional theory
  • molecular dynamics
  • machine learning
  • mass spectrometry
  • air pollution
  • electronic health record
  • smoking cessation
  • data analysis