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Related Concept Videos

Density00:56

Density

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...
Density and Archimedes' Principle01:05

Density and Archimedes' Principle

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 reason...
Crystal Density01:19

Crystal Density

The crystal lattice structure of a material allows us to determine how many molecules exist in its unit cell. With this information, alongside the unit-cell parameters - three distance parameters (a, b, c) and three angular parameters (α, β, γ).Density (ρ) = (Z × M) / (a × b × c × NA)where:Z is the number of formula units per unit cellM is the molar mass of the substancea, b, and c are the edge lengths of the unit cellNA is Avogadro’s numberFor a simple cubic lattice, atoms are located only at...
Combining Functions01:16

Combining Functions

Functions can be combined to form new mathematical models that describe interactions between variables. These combinations are fundamental in understanding relationships between changing quantities and are commonly encountered in scientific and engineering contexts. The combination methods—addition, subtraction, multiplication, division, and composition—each have unique implications for the resulting function’s domain and behavior.When combining functions through arithmetic operations, such...
Rationalizing Substitutions01:29

Rationalizing Substitutions

Integrals involving non-rational functions are often difficult to evaluate using standard techniques, especially when radicals appear in the integrand. Rationalizing substitution provides a systematic method for simplifying such integrals by converting them into rational forms that are easier to handle.Consider a rod whose linear mass density depends on a constant linear density, a characteristic length, and the distance from the left end of the rod. Determining the total mass requires...
Applications of Integration to Probability Density Functions01:27

Applications of Integration to Probability Density Functions

Continuous probability distributions are used to model random variables that can take on any real value within a specified range. These variables do not take on isolated or countable values but rather exist on a continuum. For example, the height of an individual can be measured with increasing precision—such as 163.5 or 165.25 centimeters—demonstrating that height is a continuous random variable.The behavior of such variables is described using a probability density function (PDF), which...

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Updated: May 10, 2026

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
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"Ensemblization" of density functional theory.

Tim Gould1, Leeor Kronik2, Stefano Pittalis3

  • 1Qld Micro- and Nanotechnology Centre, Griffith University, Nathan, Qld 4111, Australia.

The Journal of Chemical Physics
|January 30, 2026
PubMed
Summary
This summary is machine-generated.

Ensemble DFT (EDFT) offers an exact framework for electronic structure calculations beyond conventional DFT limitations. This approach handles complex states like degenerate and excited states, paving the way for more accurate computational chemistry.

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Area of Science:

  • Computational Chemistry
  • Quantum Mechanics
  • Materials Science

Background:

  • Conventional Density Functional Theory (DFT) excels at ground-state electronic structure but struggles with degenerate, mixed, or excited states.
  • Existing extensions of DFT often introduce uncontrolled errors and inconsistencies.
  • A need exists for a rigorous theoretical framework to address these limitations.

Purpose of the Study:

  • Introduce and analyze Ensemble DFT (EDFT) as an in-principle exact theoretical framework.
  • Develop a rigorous approach for constructing novel density functionals within the EDFT framework.
  • Extend DFT-based methodologies beyond ground-state calculations.

Main Methods:

  • Focus on the "ensemblization" of exact and approximate density functionals.
  • Develop a rigorous framework for ensemble density functionals.
  • Investigate the interplay between symmetry considerations and ensemble properties.

Main Results:

  • EDFT provides an exact treatment for electronic states beyond the conventional ground state.
  • The "ensemblization" approach leads to novel approximations consistent with the EDFT framework.
  • Symmetry and ensemble properties synergize to create practical DFT-based methods for excited and mixed states.

Conclusions:

  • EDFT offers a robust and exact alternative to conventional DFT for complex electronic systems.
  • The developed methodology extends the applicability of DFT to excited states and other challenging problems.
  • This work highlights the necessity of exploring beyond the standard ground-state Kohn-Sham treatment in electronic structure theory.