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Interactive, web-based illustrations for exploring statistical mechanical concepts that arise in experimental colloidal physics, based on research at Harvard. Contributions and/or criticism is welcome. Try what we have so far here:

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ColloidalStatMech

ColloidalStatMech provides interactive, web-based illustrations for exploring statistical mechanical concepts in colloidal physics, based on research at Harvard. Try it here: http://jeswcollins.github.io/ColloidalStatMech/. Please feel free to contribute, question, or criticize.

#Interactive Particle Swapping Visualization These illustrations from the "swapping" javascript code originally were published here.

Identical Particles

N-component, highly specific particles

###To Do:

  • Make modular
  • Make mobile friendly
  • #Brownian Motion Simulation This code builds off from MSDN's Intermediate SVG javascript tutorial.

    In-browser Brownian Motion Simulation

    ###To Do:

  • Fix bug that results in singlet particles not diffusing
  • Add adjustable temperature
  • Add specificity
  • Make specificity adjustable
  • Add placing and swapping spheres on clicks
  • #Background

    Colloidal particles that can be visualized with an optical microscope, but which are small enough that they are "random walkers", provide unique opportunities for experimental tests of statistical mechanics.

    Research by Guangnan Meng, Natalie Arkus, Vinny Manoharan and Michael Brenner explored how colloidal particles self-assemble if each is of the same chemical species. Then research by Becca Perry, Jesse Collins, W. Ben Rogers, Natalie Arkus, Zorana Zeravcic, Vinny Manoharan and Micheal Brenner explored increasing the number of chemical species, and seeing how this affected the structures that formed in statistical equilibrium.

    To understand and explain the concepts that emerged from this work, I've made an interactive visualization of identical vs. n-component, highly specific particles. I've also started work on a Brownian motion visualization/simulation.

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    Interactive, web-based illustrations for exploring statistical mechanical concepts that arise in experimental colloidal physics, based on research at Harvard. Contributions and/or criticism is welcome. Try what we have so far here:

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