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Predicting Deprotonation Sites Using Alchemical Derivatives
Macarena Muñoz1, Andrés Robles-Navarro2,3, Patricio Fuentealba2,3
1Facultad de Ingenierı́a y Ciencias, Universidad Adolfo Ibañez, Diagonal Las Torres 2640, Santiago 7941169, Chile.
Alchemical derivatives accurately rank proton affinity and predict proton dissociation enthalpy for various molecules. Their predictions show strong correlation with experimental and computational data, offering a reliable computational chemistry tool.
Area of Science:
- Computational chemistry
- Physical chemistry
Background:
- Alchemical transformations connect states in chemical space.
- Proton vanishing is key, linking energy to proton dissociation enthalpy.
Purpose of the Study:
- Assess alchemical derivatives for predicting proton dissociation enthalpy.
- Evaluate reliability across diverse mono- and polyprotic molecules.
Main Methods:
- Utilized alchemical derivatives to analyze proton dissociation.
- Compared predictions with energy difference calculations and experimental values.
Main Results:
- Alchemical derivatives excel at ranking proton affinity.
- Predictions show good correlation with established methods.
- Second-order derivatives slightly underestimate enthalpy but offer constant deviation.
Conclusions:
- Alchemical derivatives are reliable for ranking and predicting proton affinity.
- They are accurate for evaluating differences in polyprotic molecules.
- Higher-order derivatives likely explain enthalpy underestimation.
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