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Position-specific isotope analysis (PSIA) can aid in understanding the origins of molecules. Destructive PSIA requires a model to track isotope substitution through reaction pathways. We present a general method based on the Reaction Mechanism Generator software to construct quantitative kinetic models with atom-specific isotope tracking and kinetic isotope effects during thermal decomposition of model compounds. A propane mechanism produced with this method is compared to experiments. Without tuning kinetic or thermodynamic parameters to experimental data, the mechanism replicated, within experimental uncertainty, the relationship between the parent molecule's position-specific values and the fragments' enrichments. These isotope-specific models can serve as an in silico platform to quantitatively assess secondary isotopic reactions which can scramble position-specific enrichments, design and optimize experimental conditions, and test feasibility of PSIA for new compounds. The proposed methodology creates new opportunities for applications in isotope analysis for a range of chemical compounds. Keywords: Kinetic isotope effect; Symmetry; Degeneracy; Isotopologue; Enrichment; Automated mechanism generation, National Science Foundation (Grant 1122374)

Confusion over how to account for symmetry numbers when reactants are identical can cause significant errors in isotopic studies. An extraneous factor of 2 in the reaction symmetry number, as proposed in the literature, violates reaction equilibrium and causes huge enrichment errors in isotopic analysis. In actuality, no extra symmetry factor is needed with identical reactants.

This perspective gives our views on general aspects and future directions of gas‐phase atmospheric chemical kinetic mechanism development, emphasizing on the work needed for the sustainable development of chemically detailed mechanisms that reflect current kinetic, mechanistic, and theoretical knowledge. Current and future mechanism development efforts and research needs are discussed, including software‐aided autogeneration and maintenance of kinetic models as a future‐proof approach for atmospheric model development. There is an overarching need for the evaluation and extension of structure‐activity relationships (SARs) that predict the properties and reactions of the many multifunctionalized compounds in the atmosphere that are at the core of detailed mechanisms, but for which no direct chemical data are available. Here, we discuss the experimental and theoretical data needed to support the development of mechanisms and SARs, the types of SARs relevant to atmospheric chemistry, the current status and limitations of SARs for various types of atmospheric reactions, the status of thermochemical estimates needed for mechanism development, and our outlook for the future. The authors have recently formed a SAR evaluation working group to address these issues.