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Updated: Jan 23, 2026

Determination of the Gas-phase Acidities of Oligopeptides
Published on: June 24, 2013
Gas Phase Silver Thermochemistry from First Principles
Irina Minenkova1,2, Valery V Sliznev3, Luigi Cavallo4
1Moscow Institute of Physics and Technology , Institutskiy Pereulok 9 , Dolgoprudny , Moscow Region 141700 , Russian Federation.
This study accurately predicts thermochemical data for silver compounds using the domain-based local pair natural orbital coupled cluster approach (DLPNO-CCSD(T)). The findings enrich silver thermochemistry and provide reliable data for computational chemistry method development.
Area of Science:
- Computational Chemistry
- Quantum Chemistry
- Thermochemistry
Background:
- Accurate thermochemical data for silver compounds are crucial for understanding silver chemistry.
- Existing experimental data are limited, necessitating reliable computational predictions.
Purpose of the Study:
- To predict gas-phase heats of formation and absolute entropies for silver inorganic and organometallic compounds.
- To expand the available thermochemical database for silver species.
- To provide reliable data for testing and training computational chemistry methods.
Main Methods:
- Application of the domain-based local pair natural orbital coupled cluster approach with single, double, and perturbative triple excitations (DLPNO-CCSD(T)).
- Utilized a reduced version of the reaction-based Feller-Peterson-Dixon (FPD) scheme.
- Evaluated existing experimental data for 10 silver substances and predicted data for 90 additional species.
Main Results:
- Achieved a mean average deviation of 1.9 kcal/mol between computed and experimental heats of formation for existing data.
- All predicted heats of formation were within experimental error bounds.
- Generated thermochemical data for 90 new silver species, including heats of formation, entropies, sublimation thermochemistry, and 33 silver bond strengths.
Conclusions:
- The DLPNO-CCSD(T) approach provides highly reliable thermochemical data for silver compounds.
- The generated data significantly enriches the field of silver thermochemistry.
- The results are valuable for advancing the understanding of silver chemistry and for the development of computational chemistry methods.
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