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Mychel E. Varner, Ph.D.

Assistant Professor, Physical Chemistry

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Cornelia Hall, 105-K
(914) 633-2290 (914) 633-2290


  • Postdoctoral Scholar, University of California, Irvine, 2010-2015
  • Ph.D., The University of Texas at Austin, 2010
  • BS, Truman State University, 2003

Dr. Mychel Varner teaches courses in physical chemistry, computational chemistry, and general chemistry. Her research work performs computational studies with quantum chemical methods to study reactions relevant to the Earth’s atmosphere, such as those leading to the formation of particles and of ozone at ground level.

Computational Atmospheric Chemistry

Atmospheric chemistry models describe relationships between chemical species to predict the concentrations of those species that are hazardous or otherwise of interest. To do so, these models rely on rates of reaction, photolysis rates, and relative energies, among other data. For many known gas-phase reactions this data can be very accurately determined through laboratory experiments. However, the model description can be insufficient in many ways. For example, these models may not account for unexpected side products, particularly weakly-bound molecules that can dissociate to yield the reactants and may be difficult to detect in laboratory experiments. Also, though the gas phase process may be well understood, the various surfaces that are present in the troposphere, the portion of the Earth's atmosphere that extends to ground level, may significantly alter the rate.

In investigating incompletely understood atmospheric processes, computational approaches may be used as independent confirmation of laboratory experiments or in conjunction with experimental data. In the case of particle formation from gas phase species such as sulfuric acid and ammonia, it is not yet possible to probe the initial steps of complex formation that eventually lead to the nanometer-sized particles studied experimentally.  Prediction of binding energies of various acid-base species that are found in the atmosphere bridges the gap in experimental data. An understanding of these processes can help determine which species may be relevant for formation of particles that negatively impact human health through inhalation, as well as influence the warming of the planet through radiative forcing.

The same factors that lead to unexpected atmospheric processes can also complicate the computational description.  High-level methods may be required to accurately determine binding energies of weakly-bound species. And for reactions that happen at surfaces, the local environment must be taken into account. In some cases the nature of the interacting species themselves may present challenges, as when dealing with radicals and ions. In addition to the prediction of the stability of a species and probability of formation, the simulation of molecular spectra may aid in the assignment of laboratory spectra of atmospheric species.

See a listing of Dr. Varner's publications on Google Scholar here: