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Updated: May 7, 2026

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
Published on: April 8, 2020
Exploring structures and energetics of large OCS clusters by correlated methods
Nityananda Sahu1, Gurmeet Singh, Shridhar R Gadre
1Department of Chemistry, Indian Institute of Technology Kanpur , Kanpur, 208016 India.
This study accurately estimates binding energies for carbonyl sulfide (OCS) clusters using advanced computational methods. The findings demonstrate the feasibility of precise ab initio calculations for large clusters, even with limited resources.
Area of Science:
- Computational Chemistry
- Quantum Chemistry
- Molecular Modeling
Background:
- Carbonyl sulfide (OCS) clusters are crucial for understanding intermolecular forces.
- Accurate binding energy calculations are essential for predicting cluster stability and properties.
Purpose of the Study:
- To perform an extensive minima search for (OCS)n clusters (n=2-5).
- To accurately estimate binding energies using high-level computational methods.
- To assess the feasibility of ab initio calculations on large clusters with limited hardware.
Main Methods:
- Utilized MP2 and CCSD(T) levels of theory for binding energy estimation.
- Employed Molecular Tailoring Approach (MTA) for calculating energies at the Complete Basis Set (CBS) limit.
- Performed geometry optimization using MP2/aug-cc-pvTZ basis set.
- Conducted benchmark calculations with dispersion-corrected B2PLYPD functional.
Main Results:
- Geometrical parameters obtained show excellent agreement with experimental findings.
- A substantial blue shift in asymmetric C-O stretch vibrational frequency was observed with increasing cluster size.
- Calculated binding energies provide insights into the stability of (OCS)n clusters.
Conclusions:
- The study validates the accuracy of the employed computational methods for OCS clusters.
- Ab initio calculations on large clusters are feasible on limited hardware with minimal loss of accuracy.
- The findings contribute to a better understanding of non-covalent interactions in molecular clusters.
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