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Updated: Sep 13, 2025

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Published on: November 7, 2016
The Remarkable I2O3 Molecule: A New View from Theory.
Carson L Tang1, Justin M Turney1, Henry F Schaefer1
1Center for Computational Quantum Chemistry, Department of Chemistry, University of Georgia, Athens, Georgia 30602, United States.
This study presents the first high-level computational analysis of iodine trioxide (I2O3), a key atmospheric molecule. New isomers were discovered, advancing our understanding of iodine oxides and particle formation in the atmosphere.
Area of Science:
- Atmospheric chemistry
- Computational chemistry
- Chemical physics
Background:
- Atmospheric iodine chemistry is increasingly important due to rising iodine emissions.
- Iodine oxides (I2O3-5) are critical precursors for atmospheric particle formation.
- Iodine trioxide (I2O3) is the simplest iodine oxide involved in particle formation but remains atmospherically undetected.
Purpose of the Study:
- To provide accurate theoretical characterizations of iodine trioxide (I2O3) using high-level computational methods.
- To investigate the potential energy surface of I2O3 and discover new isomers.
- To assess the performance of various computational methods and DFT functionals for atmospheric chemistry applications.
Main Methods:
- Geometries of I2O3 were optimized using the CCSD(T)/aug-cc-pwCVTZ-PP level of theory.
- Harmonic vibrational frequencies were computed at the CCSD(T)/aug-cc-pwCVTZ-PP level.
- High-level CCSDT(Q) calculations with extrapolation to the Complete Basis Set (CBS) limit were performed for accurate energetics.
Main Results:
- The study presents the first geometries optimized exclusively with coupled-cluster theory (CCSD(T)).
- New isomers of I2O3 were identified on its potential energy surface.
- Accurate I2O3 energetics were obtained, including zero-point vibrational and scalar relativistic corrections.
Conclusions:
- This work provides a robust theoretical foundation for understanding I2O3.
- The discovery of new isomers expands the known chemistry of iodine oxides.
- The assessment of computational methods offers guidance for future atmospheric chemistry studies.
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