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Related Concept Videos

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Two-Compartment Open Model: Overview

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Multicompartmental models are crucial tools in pharmacokinetics, providing a framework to understand how drugs move within the body. The two-compartment model is a crucial subtype, segmenting the body into central and peripheral compartments. The central compartment represents areas with high blood flow, such as plasma and highly perfused organs like the kidneys and liver, while the peripheral compartment signifies tissues with lower blood flow, like adipose tissue and muscle tissue.
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Various dissolution theories provide insight into the factors that influence the dissolution rate. Danckwerts' Model suggests that turbulence, rather than a stagnant layer, characterizes the dissolution medium at the solid-liquid interface. In this model, the agitated solvent contains macroscopic packets that move to the interface via eddy currents, facilitating the absorption and delivery of the drug to the bulk solution. The regular replenishment of solvent packets maintains the...
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Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
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Atomic Layer Deposition of Vanadium Dioxide and a Temperature-dependent Optical Model
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Self-consistent and detailed opacities from a non-equilibrium average-atom model.

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Density functional theory (DFT) models now capture non-local thermodynamic equilibrium (non-LTE) plasma effects, enabling accurate predictions of material properties and detailed electronic structures for warm dense matter.

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Area of Science:

  • Plasma Physics
  • Computational Materials Science
  • Quantum Mechanics

Background:

  • Density functional theory (DFT) accurately predicts material properties in high energy density plasmas.
  • Current DFT models are limited to local thermodynamic equilibrium (LTE) and provide averaged electronic states.
  • This restricts their application in dynamic and transient plasma conditions.

Purpose of the Study:

  • To extend DFT-based average-atom (AA) models to non-local thermodynamic equilibrium (non-LTE) regimes.
  • To incorporate essential non-LTE effects like autoionization and dielectronic recombination into DFT models.
  • To enable the calculation of detailed electronic structures and opacity spectra for plasmas.

Main Methods:

  • A modification to the bound-state occupation factor in a DFT-based average-atom model.
  • Inclusion of non-LTE effects, including autoionization and dielectronic recombination.
  • Expansion of self-consistent electronic orbitals to generate multi-configuration electronic structure.

Main Results:

  • The modified DFT-AA model successfully captures essential non-LTE plasma effects.
  • The model allows for the generation of detailed electronic structures beyond averaged states.
  • Accurate opacity spectra can be computed, extending DFT applications to new plasma regimes.

Conclusions:

  • The proposed modification significantly enhances the capability of DFT models for plasma simulations.
  • This advancement is crucial for studying dynamic and transient processes in warm dense matter.
  • The non-LTE DFT-AA model provides a more comprehensive understanding of plasma properties.