Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

1.1K
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
1.1K
Problem Solving: Dimensional Analysis01:08

Problem Solving: Dimensional Analysis

6.3K
Every mathematical equation that connects separate distinct physical quantities must be dimensionally consistent, which implies it must abide by two rules. For this reason, the concept of dimension is crucial. The first rule is that an equation's expressions on either side of an equality must have the exact same dimension, i.e., quantities of the same dimension can be added or removed. The second rule stipulates that all popular mathematical functions, such as exponential, logarithmic, and...
6.3K
Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

2.8K
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).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
2.8K
Two-Dimensional Force System: Problem Solving01:29

Two-Dimensional Force System: Problem Solving

1.3K
Solving problems related to two-dimensional force systems is an essential aspect of mechanics and engineering. By applying the principles of vector analysis and force equilibrium, one can determine the effect of multiple forces acting on an object in a two-dimensional space.
The first step to solving a two-dimensional force system problem is to draw a free-body diagram of the object under consideration. This diagram helps identify all the external forces acting on the object, including their...
1.3K
Protein and Protein Structure02:15

Protein and Protein Structure

87.1K
Proteins are one of the most abundant organic molecules in living systems and have the most diverse range of functions of all macromolecules. Proteins may be structural, regulatory, contractile, or protective. They may serve in transport, storage, or membranes; or they may be toxins or enzymes. Their structures, like their functions, vary greatly. They are all, however, amino acid polymers arranged in a linear sequence.
A protein's shape is critical to its function. For example, an enzyme...
87.1K
Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

1.4K
A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
To solve a three-dimensional force system, first resolve each force into its respective scalar components. Do this using...
1.4K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Defect structure of yttria-stabilized hafnia nanoparticles.

IUCrJ·2026
Same author

Hybrid organic-inorganic polyoxovanadates with [M(en)<sub><i>n</i></sub>] (M = Co, Ni, Cu, Zn) displaying (V<sub>4</sub>O<sub>13</sub>), (V<sub>15</sub>O<sub>36</sub>) or (V<sub>18</sub>O<sub>42</sub>) morphologies.

Dalton transactions (Cambridge, England : 2003)·2026
Same author

Electrical Junction at the Substrate-Fe<sub>3</sub>O<sub>4</sub> Nanoparticle Interface Governs Oxygen Evolution Reaction Activity.

ACS applied materials & interfaces·2026
Same author

Interplay of Redox Non-Innocence and Symmetry Breaking in a 4d Coordination Framework.

Journal of the American Chemical Society·2026
Same author

<i>In situ</i> X-ray diffraction investigation of NiS <sub><i>x</i></sub> -formation on Ni-foam using chemical vapor deposition with H<sub>2</sub>S.

Chemical science·2026
Same author

Single-crystal synchrotron X-ray diffraction study reveals bulk intermediate M2 phase during the VO<sub>2</sub> insulator-to-metal transition.

Chemical science·2025
Same journal

Case study of using the single-atom R1 method to solve a small protein structure.

Acta crystallographica. Section A, Foundations and advances·2026
Same journal

Beyond complementarity: a reverse-engineering framework for de novo crystal structure determination from EXAFS.

Acta crystallographica. Section A, Foundations and advances·2026
Same journal

Crystallography in Open Science and its open educational resources.

Acta crystallographica. Section A, Foundations and advances·2026
Same journal

From atoms to a data bank: optimizing transferability of electron-density symmetry.

Acta crystallographica. Section A, Foundations and advances·2026
Same journal

Twenty-Sixth General Assembly and International Congress of Crystallography, Melbourne, Australia, 22-29 August 2023.

Acta crystallographica. Section A, Foundations and advances·2026
Same journal

MIDAS: a quantitative framework for high-energy diffraction microscopy. Part II: accuracy, robustness and best practices.

Acta crystallographica. Section A, Foundations and advances·2026
See all related articles

Related Experiment Video

Updated: Jan 25, 2026

Mapping the Structure-Function Relationships of Disordered Oncogenic Transcription Factors Using Transcriptomic Analysis
09:58

Mapping the Structure-Function Relationships of Disordered Oncogenic Transcription Factors Using Transcriptomic Analysis

Published on: June 27, 2020

3.1K

Solving the disordered structure of β-Cu2-xSe using the three-dimensional difference pair distribution function.

Nikolaj Roth1, Bo B Iversen1

  • 1Center for Materials Crystallography, Department of Chemistry, Aarhus University, Aarhus 8000, Denmark.

Acta Crystallographica. Section A, Foundations and Advances
|May 2, 2019
PubMed
Summary
This summary is machine-generated.

The crystal structure of copper selenide (Cu2-xSe) was solved, revealing it is ordered in two dimensions but disordered in the third. This finding advances understanding of thermoelectric materials and their structure-property relationships.

Keywords:
3D-ΔPDFcopper selenidedisordersingle-crystal diffuse X-ray scatteringthermoelectricsthree-dimensional difference pair distribution function

More Related Videos

Chronic Intermittent Ethanol Vapor Exposure Paired with Two-Bottle Choice to Model Alcohol Use Disorder
05:12

Chronic Intermittent Ethanol Vapor Exposure Paired with Two-Bottle Choice to Model Alcohol Use Disorder

Published on: June 23, 2023

1.5K
Using High Resolution Computed Tomography to Visualize the Three Dimensional Structure and Function of Plant Vasculature
11:49

Using High Resolution Computed Tomography to Visualize the Three Dimensional Structure and Function of Plant Vasculature

Published on: April 5, 2013

21.6K

Related Experiment Videos

Last Updated: Jan 25, 2026

Mapping the Structure-Function Relationships of Disordered Oncogenic Transcription Factors Using Transcriptomic Analysis
09:58

Mapping the Structure-Function Relationships of Disordered Oncogenic Transcription Factors Using Transcriptomic Analysis

Published on: June 27, 2020

3.1K
Chronic Intermittent Ethanol Vapor Exposure Paired with Two-Bottle Choice to Model Alcohol Use Disorder
05:12

Chronic Intermittent Ethanol Vapor Exposure Paired with Two-Bottle Choice to Model Alcohol Use Disorder

Published on: June 23, 2023

1.5K
Using High Resolution Computed Tomography to Visualize the Three Dimensional Structure and Function of Plant Vasculature
11:49

Using High Resolution Computed Tomography to Visualize the Three Dimensional Structure and Function of Plant Vasculature

Published on: April 5, 2013

21.6K

Area of Science:

  • Materials Science
  • Solid-State Physics
  • Crystallography

Background:

  • High-performing thermoelectric materials often possess atomic disorder, complicating structure-property relationship analysis.
  • Copper selenide (Cu2-xSe) is a cost-effective, non-toxic thermoelectric material with unusual transport properties near its phase transition.
  • The crystal structure of the low-temperature β-Cu2-xSe phase has remained unsolved since 1936, hindering property understanding.

Purpose of the Study:

  • To elucidate the complex crystal structure of β-Cu2-xSe.
  • To establish a method for solving structures with partial dimensionality disorder.
  • To understand the link between the atomic structure and thermoelectric properties of Cu2-xSe.

Main Methods:

  • Utilized three-dimensional difference pair distribution function (3D-ΔPDF) analysis on diffuse single-crystal X-ray scattering data.
  • Solved the structure of the ordered layers within β-Cu2-xSe.
  • Identified two distinct stacking disorder modes.

Main Results:

  • Demonstrated that β-Cu2-xSe exhibits two-dimensional order and three-dimensional disorder.
  • Determined the ordered layer structure and characterized the stacking disorder.
  • The average structure, derived from Bragg crystallography, possesses higher symmetry than the actual local structure.

Conclusions:

  • The study presents a novel approach to solving crystal structures with partial dimensionality disorder, generalizing the Patterson method.
  • The unique structural characteristics of β-Cu2-xSe, with its layered order and stacking disorder, are crucial for its thermoelectric performance.
  • This work highlights the significant divergence between local atomic structure and average structure in determining material properties, particularly for thermoelectrics.