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Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

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Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
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Linear Circuits01:17

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A linear circuit is characterized by its output having a direct proportionality to its input, adhering to the linearity property, which encompasses the principles of homogeneity (scaling) and additivity. Homogeneity dictates that when the input, also referred to as the excitation, is multiplied by a constant factor, the output, known as the response, is correspondingly scaled by the same constant factor. For instance, if the current is multiplied by a constant 'k,' the voltage likewise...
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Calibration Curves: Linear Least Squares01:20

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A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
For data that follow a straight line, the standard method for fitting is the linear...
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MO Theory and Covalent Bonding02:40

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The molecular orbital theory describes the distribution of electrons in molecules in a manner similar to the distribution of electrons in atomic orbitals. The region of space in which a valence electron in a molecule is likely to be found is called a molecular orbital. Mathematically, the linear combination of atomic orbitals (LCAO) generates molecular orbitals. Combinations of in-phase atomic orbital wave functions result in regions with a high probability of electron density, while...
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Equivalent Capacitance01:19

Equivalent Capacitance

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From the study of resistive circuits, it is understood that employing a series-parallel combination serves as an effective strategy for simplifying circuits. Capacitors can be arranged within a circuit in one of two ways: a series configuration or a parallel configuration. The way these capacitors are connected to a battery will influence both the potential drop across each individual capacitor and the size of the charge that each capacitor can store. This is determined by the specific type of...
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Buffers: Buffer Capacity01:09

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Buffer capacity is the quantitative measure of a buffer to resist the change in pH. As shown in the following equation, the buffer capacity, denoted by 'beta', is expressed as the number of moles of acid or base needed to change the pH of a one-liter buffer solution by 1 unit. Here, Ca and Cb indicate the number of moles of acid and base, respectively. Note that dpH represents the change in pH.
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Related Experiment Video

Updated: May 14, 2025

Expression of Cementitious Pore Solution and the Analysis of Its Chemical Composition and Resistivity Using X-ray Fluorescence
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Expression of Cementitious Pore Solution and the Analysis of Its Chemical Composition and Resistivity Using X-ray Fluorescence

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Calculating Bond Capacities by Linear Response Methods.

Jonas E S Mikkelsen1, Frank Jensen1

  • 1Department of Chemistry, Aarhus University, DK-8000 Aarhus, Denmark.

Journal of Chemical Theory and Computation
|April 15, 2025
PubMed
Summary
This summary is machine-generated.

Bond capacities quantify electron density transfer between atoms, crucial for modeling charge flow in force fields. Their calculation is robust across various theoretical methods and basis sets.

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Area of Science:

  • Computational chemistry
  • Theoretical chemistry
  • Quantum chemistry

Background:

  • Bond capacities are atom-atom condensed density response functions.
  • They quantify electron density transfer between atoms, essential for modeling charge flow in force fields.

Purpose of the Study:

  • To implement and evaluate bond capacities using linear response methods.
  • To assess the sensitivity of bond capacities to theoretical methods and basis sets.
  • To analyze the transferability and chemical structure dependence of bond capacities.

Main Methods:

  • Linear response methods for calculating bond capacities.
  • Minimal basis iterative stockholder definition of atoms in molecules.
  • Evaluation across Hartree-Fock, density functional theory, and multiconfigurational self-consistent field levels of theory.

Main Results:

  • Bond capacities show moderate sensitivity to the level of theory.
  • Insensitive to basis set quality beyond polarized double-ζ.
  • Demonstrate high transferability and conformity to functional group concepts.
  • Rapid decay in nonconjugated systems, slower decay with oscillation in conjugated systems.

Conclusions:

  • Bond capacities are reliable descriptors of charge flow, transferable across chemical structures.
  • The implemented method provides a robust way to calculate these essential quantities.
  • Understanding bond capacities aids in developing accurate force fields and predicting chemical behavior.