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Chemical Shift: Internal References and Solvent Effects01:17

Chemical Shift: Internal References and Solvent Effects

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In an NMR sample, precise measurement of the absolute absorption frequencies of nuclei is difficult. A standard internal reference compound is added, and the frequency difference between the reference signal and sample signals is measured.
The internal reference compound generally used in NMR spectroscopy is tetramethylsilane (TMS). TMS is preferred because it is chemically inert, soluble in NMR solvents, and easily removable. Also, the highly shielded methyl protons in TMS yield an intense...
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Entropy and Solvation02:05

Entropy and Solvation

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The process of surrounding a solute with solvent is called solvation. It involves evenly distributing the solute within the solvent. The rule of thumb for determining a solvent for a given compound is that like dissolves like. A good solvent has molecular characteristics similar to those of the compound to be dissolved. For example, polar solutions dissolve polar solutes, and apolar solvents dissolve apolar solutes. A polar solvent is a solvent that has a high dielectric constant (ϵ...
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Solvating Effects02:12

Solvating Effects

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An understanding of the solvating effect helps rationalize the relation between solvation and acidity of the compound. In addition, this also explains the relative stability of conjugate bases for compounds with different pKa values. This lesson details, in-depth, the principle of solvating effects. The strength of an acid and the stability of its corresponding conjugate base are determined using pKa values. This observed relationship is a consequence of solvation, which is the interaction...
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Energetics of Solution Formation02:35

Energetics of Solution Formation

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The formation of a solution is an example of a spontaneous process, which is a process that occurs under specified conditions without energy from some external source.
When the strengths of the intermolecular forces of attraction between solute and solvent species in a solution are no different than those present in the separated components, the solution is formed with no accompanying energy change. Formation of the solution requires the solute–solute and solvent–solvent...
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Thermodynamic Potentials01:26

Thermodynamic Potentials

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Thermodynamic potentials are state functions that are extremely useful in analyzing a thermodynamic system. They have dimensions of energy. The four important thermodynamic potentials are internal energy, enthalpy, Helmholtz free energy, and Gibbs free energy. These thermodynamic potentials can be expressed using two of the following variables: pressure, volume, temperature, and entropy. These two variables are expressed as the rate of change of the thermodynamic potential with respect to other...
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Solvents01:12

Solvents

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A solvent is a substance, most often a liquid, that can dissolve other substances. Here, the substance being dissolved is called a solute. When a solvent and a solute combine, they form a solution - a homogenous mixture of both the solvent and the solute. Water is a universal biological solvent. Its polar structure allows it to dissolve many other polar compounds. The ability of water to dissolve is governed by a balance between water molecules binding to each other and binding to the solute.
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Updated: May 28, 2025

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
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Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

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Solvent Effects on Nonadiabatic Dynamics: Ab Initio Multiple Spawning Propagated on CASPT2/xTB Potentials.

Davide Avagliano1

  • 1Chimie ParisTech, PSL University, CNRS, Institute of Chemistry for Life and Health Sciences (iCLeHS UMR 8060), 75005 Paris, France.

Journal of Chemical Theory and Computation
|February 11, 2025
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Summary

This study introduces a new open-source method for simulating nonadiabatic dynamics in solution using Ab Initio Multiple Spawning (AIMS). The approach accurately models solvent effects on molecular decay mechanisms, advancing computational chemistry.

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Area of Science:

  • Computational Chemistry
  • Quantum Mechanics
  • Chemical Dynamics

Background:

  • Simulating nonadiabatic dynamics in solution is crucial for understanding molecular behavior.
  • Accurate modeling requires incorporating solvent effects into quantum mechanical calculations.

Purpose of the Study:

  • To develop and present a novel, open-source computational approach for simulating nonadiabatic dynamics in solution.
  • To accurately capture the influence of solvent environments on molecular excited-state decay pathways.

Main Methods:

  • Utilized the Ab Initio Multiple Spawning (AIMS) method for nuclear wavepacket propagation.
  • Employed a hybrid quantum mechanical/quantum mechanical (QM/QM') scheme with CASPT2 for excited states and GFN2-xTB for embedding molecules.
  • Integrated open-source software (PySpawn, OpenMolcas, xTB) and ORCA for initial condition generation.

Main Results:

  • Successfully simulated the nonadiabatic dynamics of ethylene in vacuum, acetone, and chloroform.
  • Demonstrated significant geometrical and electronic effects of solvents on the chromophore's decay mechanism.
  • Validated the accuracy and applicability of the combined computational approach.

Conclusions:

  • The presented QM/QM' AIMS approach offers a high standard of accuracy for nonadiabatic dynamics in solution.
  • This open-source implementation facilitates advanced computational studies of molecular processes in condensed phases.
  • Solvent interactions play a critical role in modulating excited-state decay pathways, as evidenced by the ethylene case study.