Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Molecular Models

Molecular Models

Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.

You might also read

Related Articles

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

Sort by

Same author

Surface morphology controls charge storage at the electrified Pt-water interface.

The Journal of chemical physics·2026

Same author

Revealing the molecular interplay of coverage, wettability, and capacitive response at the Pt(111)-water solution interface under bias.

Communications chemistry·2025

Same author

Tight Binding Simulation of the MgO and Mg(OH)<sub>2</sub> Hydration and Carbonation Processes.

Journal of chemical theory and computation·2025

Same author

Efficient and Selective Electrochemical CO<sub>2</sub> to Formic Acid Conversion: A First-Principles Study of Single-Atom and Dual-Atom Catalysts on Tin Disulfide Monolayers.

The journal of physical chemistry. C, Nanomaterials and interfaces·2024

Same author

Enabling Ab Initio Molecular Dynamics under Bias: The CP2K+SMEAGOL Interface for Integrating Density Functional Theory and Non-Equilibrium Green Functions.

Journal of chemical theory and computation·2024

Same author

Modeling the electroluminescence of atomic wires from quantum dynamics simulations.

The Journal of chemical physics·2024

Same journal

5-Year advances in semisacrificial metal foam-derived materials for energy storage and electrocatalysis.

Nanoscale·2026

Same journal

Application of nanogenerators in oral and respiratory systems: a review.

Nanoscale·2026

Same journal

High-efficiency BCN quantum dots with enhanced carrier kinetics enabled by synergistic control of the atomic ratio and interface engineering.

Nanoscale·2026

Same journal

Fluorescence imaging for liver diseases: probe design strategies and diagnostic applications.

Nanoscale·2026

Same journal

Robust and well-structured graphene oxide membranes crosslinked by phenylboronic acid for efficient heavy metal ion sieving.

Nanoscale·2026

Same journal

Lasing characteristics and stress-tuning effects in GaN beam microcavities.

Nanoscale·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jul 2, 2025

Fabrication of Electrochemical-DNA Biosensors for the Reagentless Detection of Nucleic Acids, Proteins and Small Molecules

Fabrication of Electrochemical-DNA Biosensors for the Reagentless Detection of Nucleic Acids, Proteins and Small Molecules

Published on: June 1, 2011

A computational model for a molecular chemical sensor.

Mengxuan Li¹, Clotilde S Cucinotta², Andrew P Horsfield¹

¹Department of Materials, Imperial College London, South Kensington Campus, London SW7 2AZ, UK. a.horsfield@imperial.ac.uk.

|February 20, 2024

Summary

This summary is machine-generated.

A sharp Negative Differential Resistance (NDR) peak in molecular junctions can enhance selectivity for molecule recognition sensors. This study outlines design rules for controlling sensor sensitivity using NDR mechanisms.

More Related Videos

Nanomechanics of Drug-target Interactions and Antibacterial Resistance Detection

Nanomechanics of Drug-target Interactions and Antibacterial Resistance Detection

Published on: October 25, 2013

Engineering Molecular Recognition with Bio-mimetic Polymers on Single Walled Carbon Nanotubes

Engineering Molecular Recognition with Bio-mimetic Polymers on Single Walled Carbon Nanotubes

Published on: January 10, 2017

Related Experiment Videos

Last Updated: Jul 2, 2025

Fabrication of Electrochemical-DNA Biosensors for the Reagentless Detection of Nucleic Acids, Proteins and Small Molecules

Fabrication of Electrochemical-DNA Biosensors for the Reagentless Detection of Nucleic Acids, Proteins and Small Molecules

Published on: June 1, 2011

Nanomechanics of Drug-target Interactions and Antibacterial Resistance Detection

Nanomechanics of Drug-target Interactions and Antibacterial Resistance Detection

Published on: October 25, 2013

Engineering Molecular Recognition with Bio-mimetic Polymers on Single Walled Carbon Nanotubes

Engineering Molecular Recognition with Bio-mimetic Polymers on Single Walled Carbon Nanotubes

Published on: January 10, 2017

Area of Science:

Molecular electronics
Nanoscale sensing
Computational condensed matter physics

Background:

Molecular junctions exhibit unique electronic properties.
Negative Differential Resistance (NDR) is crucial for electronic device applications.
Molecular recognition requires high sensor selectivity.

Purpose of the Study:

To explore the potential of sharp NDR peaks in molecular junctions for enhanced molecular recognition.
To establish design principles for sensitive molecular sensors.
To elucidate the relationship between coupling parameters and NDR peak characteristics.

Main Methods:

Density Functional Theory (DFT) combined with Non-Equilibrium Green's Function (NEGF) simulations.
Investigating molecule-molecule and molecule-electrode coupling effects on NDR.
Analyzing the role of localized molecular orbitals in resonant tunneling.

Main Results:

A sharp NDR peak improves sensor selectivity for molecule recognition.
Three design rules were proposed to control sensor sensitivity.
A key NDR mechanism involves localized molecular orbitals entering/leaving the bias window during resonant tunneling.

Conclusions:

Molecular junctions with sharp NDR offer a promising platform for single-molecule sensors.
Understanding coupling effects is vital for designing selective molecular recognition sensors.
The findings provide fundamental insights for developing advanced molecular electronic devices.