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Density is an important characteristic of substances, crucial in determining whether an object sinks or floats in a fluid. Its SI unit is kg/m3, and its cgs unit is g/cm3. The density of an object helps in identifying its composition, and also reveals information about the phase of the matter and its substructure. The densities of liquids and solids are roughly comparable, consistent with the fact that their atoms are in close contact. However, gases have much lower densities than liquids and...
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When magnetic nuclei in a sample achieve resonance and undergo relaxation, the signal detected in NMR is an approximately exponential free induction decay. Fourier transform of an exponential decay yields a Lorentzian peak in the frequency domain. Lorentzian peaks in an NMR spectrum are defined by their amplitude, full width at half maximum, and position, where the peak width is governed by the spin-spin relaxation time alone. In real experiments, however, the applied magnetic field is rendered...
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To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
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Maxwell-Boltzmann Distribution: Problem Solving01:20

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Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
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When a lump of clay is dropped into water, it sinks. But if the same lump of clay is molded into the shape of a boat, it starts to float. Because of its shape, the clay boat displaces more water than the lump and experiences a greater buoyant force, even though its mass is the same. The same holds true for steel ships. The average density of an object majorly determines if the object will float. If an object's average density is less than that of the surrounding fluid, it will float. The...
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A density-fitting implementation of the density-based basis-set correction method.

Andreas Heßelmann1, Emmanuel Giner2, Peter Reinhardt2

  • 1Institute for Theoretical Chemistry, University of Stuttgart, Stuttgart, Germany.

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|February 13, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces an efficient density-based basis-set correction (DBBSC) method for faster convergence to the complete-basis-set limit in quantum chemistry calculations. While not as accurate as MP2-F12, DBBSC offers a computationally cheaper alternative for improving basis set convergence.

Keywords:
Møller–Plesset perturbation theorybasis‐set convergencedensity‐functional theoryreaction energies

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Area of Science:

  • Quantum Chemistry
  • Computational Chemistry
  • Theoretical Chemistry

Background:

  • Basis set incompleteness is a major challenge in electronic structure calculations.
  • Accelerating convergence to the complete-basis-set (CBS) limit is crucial for accurate predictions.
  • Existing methods may be computationally expensive or lack efficiency.

Purpose of the Study:

  • To implement and evaluate an efficient density-fitting version of the density-based basis-set correction (DBBSC) method.
  • To assess the performance of DBBSC in accelerating basis set convergence for reaction energies.
  • To compare DBBSC with the explicitly correlated MP2-F12 method.

Main Methods:

  • Implementation of the density-based basis-set correction (DBBSC) method with density fitting in MOLPRO.
  • Exploration of different basis-set correction density-functional approximations.
  • Inclusion of complementary-auxiliary-basis-set single-excitation correction.
  • Testing on a benchmark set of reaction energies at the second-order Møller-Plesset (MP2) level.

Main Results:

  • The density-fitting DBBSC method significantly accelerates the basis set convergence of MP2 reaction energies.
  • DBBSC provides a computationally less expensive approach compared to MP2-F12.
  • The accuracy of DBBSC is found to be lower than that of the MP2-F12 method.

Conclusions:

  • The density-fitting DBBSC method is an efficient tool for improving basis set convergence in quantum chemical calculations.
  • DBBSC offers a practical balance between computational cost and accuracy for certain applications.
  • Further exploration of DBBSC approximations may lead to enhanced accuracy.