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

Spectroscopy of Carboxylic Acid Derivatives01:26

Spectroscopy of Carboxylic Acid Derivatives

2.2K
Infrared spectroscopy is primarily used to determine the types of bonds and functional groups. In carboxylic acid derivatives, a typical carbonyl bond absorption is observed around 1650–1850 cm−1. For esters, the absorption is recorded at around 1740 cm−1, while acid halides show the absorption at about 1800 cm−1. Another acid derivative, the acid anhydrides, exhibit two carbonyl absorption around 1760 cm−1 and 1820 cm−1, arising from the symmetrical and...
2.2K
Special considerations while measuring oxygen saturation01:19

Special considerations while measuring oxygen saturation

1.0K
Assessing respiratory rate concurrently with pulse measurement is fundamental to patient care, providing valuable insights into the patient's respiratory function. The normal breathing rate for an adult usually falls within a normal range of 12 to 20 breaths per minute. Abnormal respiratory rates can signal underlying health conditions or the need for immediate intervention.
Ensuring accuracy in vital sign recordings while prioritizing patient comfort and minimizing anxiety is...
1.0K
Classification of Titrimetric Analysis Based on Reaction Types01:01

Classification of Titrimetric Analysis Based on Reaction Types

2.0K
Titrimetric analysis in solution chemistry involves measuring the volume of solutions and is often called volumetric analysis. The standard solution of known concentration in the burette is called the titrant, whereas the solution of unknown concentration in the flask is called the analyte, or titrand. Titrimetric analyses can be classified into four types based on the reactions between the titrant and analyte.
Titrations between an acid and a base lead to neutralization reactions that form...
2.0K
Carbon Dioxide Transport in the Blood01:19

Carbon Dioxide Transport in the Blood

6.9K
Carbon dioxide (CO2) transport in the blood is critical to human physiology. On average, our body cells produce around 200 mL of CO2 per minute, precisely the quantity expelled by the lungs. This process involves the transportation of CO2 from the tissue cells to the lungs in three primary forms.
Forms of CO2 Transport
1. Dissolved in plasma: A small percentage (7-10%) of CO2 is transported and dissolved directly in the plasma.
2. Carbaminohemoglobin: Just over 20% of CO2 is chemically bound to...
6.9K
Classification of Signals01:30

Classification of Signals

1.6K
In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
1.6K
Classification of Systems-II01:31

Classification of Systems-II

651
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
651

You might also read

Related Articles

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

Sort by
Same author

Structure, Interactions, and Assembly of Membrane-Active Antimicrobial Polypeptides.

Chemical reviews·2026
Same author

Ambient one-step synthesis and direct coating of highly crystalline covalent organic frameworks on arbitrary surfaces.

Science advances·2026
Same author

A Dual-Model Machine Learning Framework for Interpretable Design and Ensemble Prediction of C-Amidated Antimicrobial Peptides.

ACS applied materials & interfaces·2026
Same author

Liquid metal interface enables glassy MOF membranes with defect-mediated COâ‚‚ transport.

Nature communications·2025
Same author

Harnessing Machine Learning for the Design of Surface Coatings: Challenges and Opportunities.

ACS applied materials & interfaces·2025
Same author

In Situ Coupling of MHz Acoustic Waves for the Synthesis of Hierarchical UiO-66 Metal-Organic Frameworks.

Journal of the American Chemical Society·2025
Same journal

RETRACTED: Atta et al. Effect of Montmorillonite Nanogel Composite Fillers on the Protection Performance of Epoxy Coatings on Steel Pipelines. <i>Molecules</i> 2017, <i>22</i>, 905.

Molecules (Basel, Switzerland)·2026
Same journal

Correction: Chen et al. Chemical Composition of <i>Litsea pungens</i> Essential Oil and Its Potential Antioxidant and Antimicrobial Activities. <i>Molecules</i> 2023, <i>28</i>, 6835.

Molecules (Basel, Switzerland)·2026
Same journal

Correction: Ruan et al. Comparison of Extraction, Isolation, Purification, Structural Characterization and Immunomodulatory Activity of Polysaccharides from Two Species of <i>Cistanche</i>. <i>Molecules</i> 2025, <i>30</i>, 4754.

Molecules (Basel, Switzerland)·2026
Same journal

Correction: Li et al. Gastrodin Ameliorates Cognitive Dysfunction in Vascular Dementia Rats by Suppressing Ferroptosis via the Regulation of the Nrf2/Keap1-GPx4 Signaling Pathway. <i>Molecules</i> 2022, <i>27</i>, 6311.

Molecules (Basel, Switzerland)·2026
Same journal

Correction: Zueva et al. Steady-State Kinetics of Enzyme-Catalyzed Hydrolysis of Echothiophate, a P-S Bonded Organophosphorus as Monitored by Spectrofluorimetry. <i>Molecules</i> 2020, <i>25</i>, 1371.

Molecules (Basel, Switzerland)·2026
Same journal

1,4-Diazatriphenylene and Its Hetero-Fused Analogs: Synthesis and Applications.

Molecules (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: May 3, 2026

Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses
11:19

Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses

Published on: October 21, 2016

11.7K

Machine Learning Descriptors for CO2 Capture Materials.

Ibrahim B Orhan1, Yuankai Zhao2, Ravichandar Babarao1

  • 1School of Science, STEM College, RMIT University, G.P.O. Box 2476, Melbourne, VIC 3001, Australia.

Molecules (Basel, Switzerland)
|February 13, 2025
PubMed
Summary
This summary is machine-generated.

Machine learning (ML) is revolutionizing carbon dioxide (CO2) capture material science. This review focuses on material descriptors, crucial for developing effective ML models for CO2 capture technologies.

Keywords:
CO2 capturedescriptorsfeaturizationmachine learning

More Related Videos

In situ FTIR Spectroscopy as a Tool for Investigation of Gas/Solid Interaction: Water-Enhanced CO2 Adsorption in UiO-66 Metal-Organic Framework
11:38

In situ FTIR Spectroscopy as a Tool for Investigation of Gas/Solid Interaction: Water-Enhanced CO2 Adsorption in UiO-66 Metal-Organic Framework

Published on: February 1, 2020

15.8K
Author Spotlight: Standardizing the Development of Amine-Based Silica Composites as CO2 Adsorbents for Direct Air Capture
08:00

Author Spotlight: Standardizing the Development of Amine-Based Silica Composites as CO2 Adsorbents for Direct Air Capture

Published on: September 29, 2023

2.2K

Related Experiment Videos

Last Updated: May 3, 2026

Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses
11:19

Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses

Published on: October 21, 2016

11.7K
In situ FTIR Spectroscopy as a Tool for Investigation of Gas/Solid Interaction: Water-Enhanced CO2 Adsorption in UiO-66 Metal-Organic Framework
11:38

In situ FTIR Spectroscopy as a Tool for Investigation of Gas/Solid Interaction: Water-Enhanced CO2 Adsorption in UiO-66 Metal-Organic Framework

Published on: February 1, 2020

15.8K
Author Spotlight: Standardizing the Development of Amine-Based Silica Composites as CO2 Adsorbents for Direct Air Capture
08:00

Author Spotlight: Standardizing the Development of Amine-Based Silica Composites as CO2 Adsorbents for Direct Air Capture

Published on: September 29, 2023

2.2K

Area of Science:

  • Materials Science
  • Chemical Engineering
  • Computer Science

Background:

  • Machine learning (ML) applications are expanding across scientific disciplines.
  • A significant increase in research combines ML with CO2 capture and material science.
  • Material representation (featurisation) is key for building effective ML models.

Purpose of the Study:

  • To review descriptors used for representing CO2-capturing materials in ML models.
  • To highlight the importance of operating conditions in ML models for CO2 capture.
  • To categorize descriptors and assess their impact on ML predictions.

Main Methods:

  • Focus on descriptor-based featurisation for ML models.
  • Review of descriptors for metal-organic frameworks, ionic liquids, and other CO2 sorbents.
  • Analysis of descriptor categories: charge/orbital, thermodynamic, structural, and chemical composition.

Main Results:

  • Descriptors are vital for differentiating CO2 capture candidates.
  • Operating conditions (temperature, pressure) must be integrated into ML models.
  • The importance of specific descriptors varies based on the ML model, dataset, and application.

Conclusions:

  • ML is poised to significantly advance CO2 capture innovations.
  • Descriptor selection and feature importance analysis can guide material design strategies.
  • Future research will likely see deeper integration of ML in developing novel CO2 capture materials.