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

Metallic Solids02:37

Metallic Solids

20.5K
Metallic solids such as crystals of copper, aluminum, and iron are formed by metal atoms. The structure of metallic crystals is often described as a uniform distribution of atomic nuclei within a “sea” of delocalized electrons. The atoms within such a metallic solid are held together by a unique force known as metallic bonding that gives rise to many useful and varied bulk properties.
All metallic solids exhibit high thermal and electrical conductivity, metallic luster, and malleability....
20.5K
Properties of Organometallic Compounds01:23

Properties of Organometallic Compounds

1.6K
Organometallic compounds are compounds that contain a carbon–metal bond. Carbon belongs to an organyl group like alkyl, aryl, allyl, or benzyl groups. The metal can be from Group I or Group II of the periodic table, a transition metal, or a semimetal.
1.6K

You might also read

Related Articles

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

Sort by
Same author

AI-guided design of efficient perovskite solar cells operationally stable at 100°C.

Science (New York, N.Y.)·2026
Same author

Multi-level dynamic fusion and temporal role-aware network for diagnosis prediction.

Journal of biomedical informatics·2026
Same author

Deep capsule neural network for identifying anticancer peptides using sequence to image transformation-based local embedded features.

BMC biology·2026
Same author

Identifying protein succinylation sites using generative transformer and a two-dimensional representation with a deep capsule network.

iScience·2025
Same author

Diagonal Born-Oppenheimer corrections in condensed-phase ring polymer surface hopping.

The Journal of chemical physics·2025
Same author

Comparative Outcomes of Limb Salvage Surgery Versus Amputation in Osteosarcoma: A Five-Year Follow-Up Study From a Tertiary Care Center.

Cureus·2025

Related Experiment Video

Updated: Jan 18, 2026

Author Spotlight: Magnetometric Characterization of Intermediates in the Solid-State Electrochemistry of Redox-Active Metal-Organic Frameworks
06:53

Author Spotlight: Magnetometric Characterization of Intermediates in the Solid-State Electrochemistry of Redox-Active Metal-Organic Frameworks

Published on: June 9, 2023

2.6K

Two-Dimensional Electrically Conductive Metal-Organic Frameworks: Insights and Guidelines from Theory.

Shogo Nakaza1, Yuliang Shi2, Zeyu Zhang2

  • 1Department of Physics, New Jersey Institute of Technology, Newark, New Jersey 07102, United States.

Accounts of Chemical Research
|September 12, 2025
PubMed
Summary

This study explores electrically conductive (EC) metal-organic frameworks (MOFs), detailing their properties and applications in electronics. It introduces a database and machine learning models to accelerate the discovery of novel EC MOFs for advanced materials.

More Related Videos

Author Spotlight: Experimental Approaches for the Synthesis of Low-Valent Metal-Organic Frameworks from Multitopic Phosphine Linkers
07:14

Author Spotlight: Experimental Approaches for the Synthesis of Low-Valent Metal-Organic Frameworks from Multitopic Phosphine Linkers

Published on: May 12, 2023

3.7K
Synthesis and Characterization of Functionalized Metal-organic Frameworks
11:27

Synthesis and Characterization of Functionalized Metal-organic Frameworks

Published on: September 5, 2014

49.1K

Related Experiment Videos

Last Updated: Jan 18, 2026

Author Spotlight: Magnetometric Characterization of Intermediates in the Solid-State Electrochemistry of Redox-Active Metal-Organic Frameworks
06:53

Author Spotlight: Magnetometric Characterization of Intermediates in the Solid-State Electrochemistry of Redox-Active Metal-Organic Frameworks

Published on: June 9, 2023

2.6K
Author Spotlight: Experimental Approaches for the Synthesis of Low-Valent Metal-Organic Frameworks from Multitopic Phosphine Linkers
07:14

Author Spotlight: Experimental Approaches for the Synthesis of Low-Valent Metal-Organic Frameworks from Multitopic Phosphine Linkers

Published on: May 12, 2023

3.7K
Synthesis and Characterization of Functionalized Metal-organic Frameworks
11:27

Synthesis and Characterization of Functionalized Metal-organic Frameworks

Published on: September 5, 2014

49.1K

Area of Science:

  • Materials Science
  • Chemistry
  • Physics

Background:

  • Two-dimensional (2D) metal-organic frameworks (MOFs) are emerging as multifunctional materials with electrical conductivity, permanent porosity, and high surface area.
  • These properties make 2D MOFs promising for applications in batteries, semiconductors, and supercapacitors.
  • Computational tools are crucial for understanding structure-property relationships but face challenges due to high computational costs.

Purpose of the Study:

  • To map the structure-property-function relationships of electrically conductive (EC) MOFs.
  • To present a comprehensive database of EC MOFs and discuss the application of machine learning (ML) for materials discovery.
  • To highlight the role of material flexibility in electrical conductivity and introduce advanced simulation techniques.

Main Methods:

  • Quantum mechanical calculations (e.g., DFT) to determine thermodynamic stability, electronic structure, and photochemical reactivity.
  • Development and utilization of the EC-MOF Database, containing 1057 structures with calculated electronic properties.
  • Application of machine learning (ML) techniques for high-throughput property predictions and molecular dynamics (MD) simulations using neural network potentials (NNPs).

Main Results:

  • Detailed analysis of selected EC MOFs, including their stability, electronic structure, and reactivity.
  • The EC-MOF Database provides a valuable resource for researchers, containing crystal structures and DFT-calculated electronic properties.
  • ML models demonstrate high-throughput property prediction capabilities, and NNPs offer efficient alternatives to AIMD for simulating material flexibility and conductivity.

Conclusions:

  • The study provides computationally-ready data and ML models to facilitate the design and synthesis of novel EC MOFs.
  • Accessible theoretical insights and resources can accelerate the development of 2D EC MOFs for compact electronic devices.
  • Further research leveraging these tools is expected to unlock the full potential of 2D EC MOFs in various technological applications.