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Related Experiment Video

Updated: Jun 17, 2026

C. elegans Chemotaxis Assay
06:28

C. elegans Chemotaxis Assay

Published on: April 27, 2013

Navigating molecular worms inside chemical labyrinths.

M Haranczyk1, J A Sethian

  • 1Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.

Proceedings of the National Academy of Sciences of the United States of America
|December 19, 2009
PubMed
Summary
This summary is machine-generated.

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This study introduces a novel "molecular worm" approach to predict molecular transport through complex chemical structures, offering a faster alternative to simulations. The method efficiently maps accessible pathways within porous materials, aiding in catalyst design.

Area of Science:

  • Computational chemistry
  • Materials science
  • Chemical engineering

Background:

  • Predicting molecular transport in porous materials is crucial for applications like catalysis.
  • Current methods, such as molecular dynamics simulations, are computationally intensive.
  • Existing approximate methods often rely on simplified geometric models.

Purpose of the Study:

  • To develop a faster, more accurate method for predicting molecular passage through complex chemical labyrinths.
  • To introduce a "molecular worm" model and adapt the fast marching method for high-dimensional configuration spaces.
  • To enable efficient screening of molecules and porous materials for optimal transport properties.

Main Methods:

  • Developed a "molecular worm" model using connected blocks with flexible links.

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Related Experiment Videos

Last Updated: Jun 17, 2026

C. elegans Chemotaxis Assay
06:28

C. elegans Chemotaxis Assay

Published on: April 27, 2013

Quantitative Locomotion Study of Freely Swimming Micro-organisms Using Laser Diffraction
10:03

Quantitative Locomotion Study of Freely Swimming Micro-organisms Using Laser Diffraction

Published on: October 25, 2012

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  • Extended the fast marching method to solve the Eikonal equation in high-dimensional configuration space (≥7D).
  • Constructed algorithms to compute shortest paths, accessible volumes, and labyrinth topology.

    • Main Results:

    • Demonstrated the algorithm's ability to study molecular pathways and accessible volumes.
    • Successfully modeled the transport of an alkane molecule through a porous material.
    • Provided insights into the topology of accessible regions within chemical labyrinths.

    Conclusions:

    • The
    • molecular worm
    • and fast marching method offer an efficient alternative to molecular dynamics for predicting molecular transport.
    • This approach facilitates rapid screening for designing catalysts and understanding transport in porous media.
    • The method accurately captures geometric and configurational aspects of molecular passage.