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

Ionic Crystal Structures02:42

Ionic Crystal Structures

16.9K
Ionic crystals consist of two or more different kinds of ions that usually have different sizes. The packing of these ions into a crystal structure is more complex than the packing of metal atoms that are the same size.
Most monatomic ions behave as charged spheres, and their attraction for ions of opposite charge is the same in every direction. Consequently, stable structures for ionic compounds result (1) when ions of one charge are surrounded by as many ions as possible of the opposite...
16.9K
One-Compartment Open Model: Urinary Excretion Data and Determination of k01:11

One-Compartment Open Model: Urinary Excretion Data and Determination of k

615
The one-compartment open model leverages urinary excretion data to estimate renal clearance, which gauges the kidney's capacity to expel a drug. This method offers several benefits, including directly measuring drug elimination and assessing the kidney's contribution to overall drug clearance. However, this approach has limitations. It assumes sole renal excretion of the drug, which is not true for all drugs. Accurate urinary excretion and plasma drug concentration measurement can also...
615
Crystal Field Theory - Octahedral Complexes02:58

Crystal Field Theory - Octahedral Complexes

30.7K
Crystal Field Theory
To explain the observed behavior of transition metal complexes (such as colors), a model involving electrostatic interactions between the electrons from the ligands and the electrons in the unhybridized d orbitals of the central metal atom has been developed. This electrostatic model is crystal field theory (CFT). It helps to understand, interpret, and predict the colors, magnetic behavior, and some structures of coordination compounds of transition metals.
CFT focuses on...
30.7K
Gravimetry: Inorganic And Organic Precipitating Agents00:49

Gravimetry: Inorganic And Organic Precipitating Agents

6.7K
In gravimetry, the precipitant is chosen carefully to obtain a pure solid that can be easily filtered. Common inorganic precipitants can be used to determine several cations and anions. In some cases, the formation of the same precipitate can be used to determine the cation and the anion. For example, the reaction of barium and chromate ions to give barium chromate is used to determine both barium and chromate. However, precipitates such as hydroxides, oxalates, and metal ammonium phosphates...
6.7K
Inorganic Nitrogen Assimilation01:22

Inorganic Nitrogen Assimilation

493
Nitrogen is an essential element in biological systems, forming a crucial component of proteins, nucleic acids, and other cellular constituents. Many bacteria and archaea acquire nitrogen in the form of nitrate (NO₃⁻) or ammonia (NH₃), which are then assimilated into biomolecules through specific enzymatic pathways.Assimilatory Nitrate ReductionWhen nitrate enters the cell, it undergoes a two-step reduction process known as assimilatory nitrate reduction. Initially, the enzyme...
493
Crystal Growth: Principles of Crystallization01:25

Crystal Growth: Principles of Crystallization

4.9K
Crystallization is a phase transformation process in which crystals are precipitated from a supersaturated solution or formed from other sources. During crystallization, atoms or molecules arrange themselves into a well-defined, rigid crystal lattice to minimize energy.
Initiating crystallization involves manipulating the concentration of the solute and the temperature of the solution. Since crystal growth occurs when the ratio of concentration and solubility of the solute in the solvent...
4.9K

You might also read

Related Articles

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

Sort by
Same author

From Serendipity to Exploration: Synthesis and Properties of PtSiSb.

Inorganic chemistry·2026
Same author

Disentangling Structural Patterns in Quaternary Germanides with Materials Informatics and Exploratory Synthesis: <i>RE</i><sub>4</sub>IrInGe<sub>4</sub> (<i>RE</i> = Y, Ce-Nd, Sm, Gd, Ho-Er) Series.

Inorganic chemistry·2026
Same author

The path to room-temperature superconductivity: A programmatic approach.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

<i>A</i>-Site Solid Solution Effects on Electrical Resistivity, Oxidation Resistance, and Hardness of MAX Phases V<sub>2</sub>(As<sub>1-<i>x</i></sub>P<sub><i>x</i></sub>)C and V<sub>2</sub>(As<sub>1-<i>x</i></sub>Ge<sub><i>x</i></sub>)C.

Inorganic chemistry·2026
Same author

RE<sub>7</sub>M<sub>4</sub>InGe<sub>12</sub> (RE = Y, Gd-Er; <i>M</i> = Rh, Os) Quaternary Germanide Series Expansion with Structural Motif Clustering.

Inorganic chemistry·2025
Same author

Rb<sub>4</sub>CuSb<sub>2</sub>Cl<sub>11</sub> and Rb<sub>2</sub>In<sub>0.91(0.2)</sub>Sb<sub>0.09</sub>Cl<sub>5</sub>·H<sub>2</sub>O: Wide Band Gap 0D Metal Halide Semiconductors.

Inorganic chemistry·2025
Same journal

Lab-to-Multigram-Scale Synthesis of a Zn(II) Metal-Organic Framework for Catalytic Carbon Dioxide Conversion at Atmospheric Pressure.

Inorganic chemistry·2026
Same journal

Oxoboron Growth {B<sub><i>n</i></sub>Ni<sub>6</sub>SiW<sub>9</sub>}<sub>2</sub> (<i>n</i> = 0, 1, 2, 3) for Enhanced Visible-Light-Driven Photocatalytic Hydrogen Production and Photothermal Conversion.

Inorganic chemistry·2026
Same journal

A Universal Preparation Strategy for Carbon-Supported Metal Catalysts with Excellent Hydrogenation Performance: Ligand Regulation-Assisted Solution Carbonization.

Inorganic chemistry·2026
Same journal

Synthesis of Cationic Calcium Amido Complexes via Silylium-Mediated Abstraction Reactions.

Inorganic chemistry·2026
Same journal

Unlocking a Chemically Fertile Moderate-Pressure Regime in High-Pressure Borate Synthesis Using Soft-Chemistry Precursors.

Inorganic chemistry·2026
Same journal

Rapid and Selective Fluorescent Sensing of Histidine Driven by Metal-Specific Displacement in AIE-Based Complexes.

Inorganic chemistry·2026
See all related articles

Related Experiment Video

Updated: Jan 22, 2026

Crystallizing Membrane Proteins for Structure Determination using Lipidic Mesophases
22:00

Crystallizing Membrane Proteins for Structure Determination using Lipidic Mesophases

Published on: November 21, 2010

30.6K

Single-Crystal Automated Refinement (SCAR): A Data-Driven Method for Determining Inorganic Structures.

Gayatri Viswanathan1, Anton O Oliynyk1, Erin Antono2

  • 1Department of Chemistry , University of Houston , Houston , Texas 77204 , United States.

Inorganic Chemistry
|July 4, 2019
PubMed
Summary
This summary is machine-generated.

A new automated method, single-crystal automated refinement (SCAR), uses machine learning to determine crystal structures of inorganic solids. SCAR provides a reliable and fast approach for complex single-crystal diffraction data analysis.

More Related Videos

Fully Autonomous Characterization and Data Collection from Crystals of Biological Macromolecules
07:11

Fully Autonomous Characterization and Data Collection from Crystals of Biological Macromolecules

Published on: March 22, 2019

7.3K
From Constructs to Crystals &#8211; Towards Structure Determination of &#946;-barrel Outer Membrane Proteins
09:55

From Constructs to Crystals – Towards Structure Determination of β-barrel Outer Membrane Proteins

Published on: July 4, 2016

14.0K

Related Experiment Videos

Last Updated: Jan 22, 2026

Crystallizing Membrane Proteins for Structure Determination using Lipidic Mesophases
22:00

Crystallizing Membrane Proteins for Structure Determination using Lipidic Mesophases

Published on: November 21, 2010

30.6K
Fully Autonomous Characterization and Data Collection from Crystals of Biological Macromolecules
07:11

Fully Autonomous Characterization and Data Collection from Crystals of Biological Macromolecules

Published on: March 22, 2019

7.3K
From Constructs to Crystals &#8211; Towards Structure Determination of &#946;-barrel Outer Membrane Proteins
09:55

From Constructs to Crystals – Towards Structure Determination of β-barrel Outer Membrane Proteins

Published on: July 4, 2016

14.0K

Area of Science:

  • Crystallography
  • Materials Science
  • Computational Chemistry

Background:

  • Single-crystal diffraction is crucial for determining crystal structures but can be complex.
  • Existing software often focuses on macromolecular structures, leaving a gap for inorganic solids.

Purpose of the Study:

  • To introduce a novel automated method, single-crystal automated refinement (SCAR), for determining crystal structures of inorganic extended solids.
  • To address the complexities in crystal structure determination and refinement for inorganic materials.

Main Methods:

  • Developed SCAR using data mining and machine learning techniques.
  • Incorporated features specific to inorganic solids: atom assignment, statistical mixing, and site deficiency.
  • Applied SCAR to two newly synthesized inorganic phases: ZrAu0.5Os0.5 and Nd4Mn2AuGe4.

Main Results:

  • SCAR successfully determined crystal structures comparable to manual methods.
  • The automated method accurately refined mixed occupancies and atomic deficiencies.
  • Generated a tree of possible solutions with fit scores for data set analysis.

Conclusions:

  • SCAR is a validated, fast, and reliable tool for automated crystal structure solution of inorganic extended solids.
  • The method simplifies and rationalizes the path to optimal crystal structure models.
  • SCAR assists in analyzing complex single-crystal diffraction data efficiently.