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

Thermal Sigmatropic Reactions: Overview01:16

Thermal Sigmatropic Reactions: Overview

2.2K
Sigmatropic rearrangements are a class of pericyclic reactions in which a σ bond migrates from one part of a π system to another. These are intramolecular rearrangements where the total number of σ and π bonds remain unchanged.
Sigmatropic shifts are classified based on an order term [i, j ], where i and j indicate the number of atoms across which each end of the σ bond migrates. Below are examples of a [3,3] sigmatropic shift in...
2.2K

You might also read

Related Articles

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

Sort by
Same author

Correlating solvation shell dynamics and ion transport in highly ordered nanoporous polymers.

Nature communications·2026
Same author

<i>Bacillus halotolerans</i> Strain 105 enhances wheat growth and suppresses diverse phytopathogens under saline conditions: an integrated genomic and phenotypic study.

Frontiers in microbiology·2026
Same author

Engineering Antifreeze Proteins to Optimally Resist Engulfment by Ice.

The journal of physical chemistry. B·2026
Same author

Delivery of peptide coacervates to form stable interaction hubs in cells.

Nature communications·2026
Same author

Amphiphilic nanopores that condense undersaturated water vapor and exude water droplets.

Science advances·2025
Same author

Biodegradation of polypropylene by Bacillus cereus PP-5 isolated from waste landfill.

Ecotoxicology and environmental safety·2025

Related Experiment Video

Updated: Sep 19, 2025

Controlling the Size, Shape and Stability of Supramolecular Polymers in Water
16:24

Controlling the Size, Shape and Stability of Supramolecular Polymers in Water

Published on: August 2, 2012

18.8K

Thermodynamics of Self-Assembly and Supramolecular Transitions Using Enhanced Sampling.

Zhitong Jiang1, Zachariah Vicars1, Suruchi Fialoke1

  • 1Department of Chemical and Biomolecular Engineering, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States.

Langmuir : the ACS Journal of Surfaces and Colloids
|June 2, 2025
PubMed
Summary
This summary is machine-generated.

Computational methods can now efficiently study self-assembly and supramolecular transitions by overcoming rare event barriers. Enhanced sampling techniques reveal the thermodynamics of these complex molecular processes.

More Related Videos

Detecting and Characterizing Protein Self-Assembly In Vivo by Flow Cytometry
05:58

Detecting and Characterizing Protein Self-Assembly In Vivo by Flow Cytometry

Published on: July 17, 2019

11.1K
Synthesis of Information-bearing Peptoids and their Sequence-directed Dynamic Covalent Self-assembly
09:34

Synthesis of Information-bearing Peptoids and their Sequence-directed Dynamic Covalent Self-assembly

Published on: February 6, 2020

7.5K

Related Experiment Videos

Last Updated: Sep 19, 2025

Controlling the Size, Shape and Stability of Supramolecular Polymers in Water
16:24

Controlling the Size, Shape and Stability of Supramolecular Polymers in Water

Published on: August 2, 2012

18.8K
Detecting and Characterizing Protein Self-Assembly In Vivo by Flow Cytometry
05:58

Detecting and Characterizing Protein Self-Assembly In Vivo by Flow Cytometry

Published on: July 17, 2019

11.1K
Synthesis of Information-bearing Peptoids and their Sequence-directed Dynamic Covalent Self-assembly
09:34

Synthesis of Information-bearing Peptoids and their Sequence-directed Dynamic Covalent Self-assembly

Published on: February 6, 2020

7.5K

Area of Science:

  • Computational chemistry and physics
  • Materials science
  • Chemical engineering

Background:

  • Computational studies offer insights into self-assembly thermodynamics for applications like nanomaterial synthesis and drug delivery.
  • Free energy barriers often hinder self-assembly and supramolecular transitions, making them difficult to simulate on molecular timescales.

Purpose of the Study:

  • To demonstrate an efficient and robust computational method for characterizing self-assembly and supramolecular transition thermodynamics.
  • To overcome the challenge of sampling rare events in molecular simulations.

Main Methods:

  • Utilized enhanced sampling techniques combined with carefully selected order parameters.
  • Biased a small number of Fourier components of particle density to sample transitions between states with different periodicities or symmetries.
  • Applied the method to calculate the free energy of liquid slab cleavage and estimate liquid-vapor surface tension.

Main Results:

  • Successfully demonstrated reversible sampling of transitions between states with varying periodicities and symmetries.
  • Computed the free energy for liquid slab cleavage and estimated liquid-vapor surface tension.
  • Characterized the free energetics of transitions between spherical and rod-shaped droplets.

Conclusions:

  • Enhanced sampling techniques with appropriate order parameters provide an efficient route to study self-assembly thermodynamics.
  • The developed framework facilitates the exploration of transitions in diverse supramolecular systems like surfactants and block copolymers.
  • This work is a foundational step towards a systematic computational approach for understanding supramolecular self-assembly.