This is a pilot study to develop and assess the utility of neural network and other models for estimating photochemical reactivities of volatile organic compounds (VOCs) in the atmosphere from molecular characteristics. The effort includes development of prototype models and evaluation against existing experimental data and/or predictions of other models. Such models include artificial neural networks, decision trees, rule sets, and probabilistic Bayesian networks.