Soft matter physics @EmoryUniversity
Atlanta, GA
Joined April 2020
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My research group have discovered that I am afraid of invertebrates, and have responded appropriately
I am proud of them
I'm having a blast teaching a new 400-level computational physics class this semester. I've been writing up and posting my lecture notes as I go, and wanted to share them -- feedback and comments are more than welcome! dmsussman.org/teaching/phys4…
We're in the middle of a module on randomness as a computational resource. We'll go from simple PRNGs to Metropolis Monte Carlo to using HMC for Bayesian inference. I'll be adding those notes to the webpage as they're completed.
Perhaps you, too, are finding today stressful? To help take my mind off of the events of the day I've been taking some parts of my research group's lab manual, and some teaching resources, and adding them to my webpage. A brief thread to distract us all with science!
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Or, as the ultimate tool of procrastination, check out an absurd system I use to write LaTeX documents using... vim. Nothing like using a text editor that is older than my students😂
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Daniel Sussman retweeted
Score!!🎉
Paper just accepted in NATURE PHYSICS! @NaturePhysics
Using Stentor, we show that hydrodynamics could have been a key factor in evolution of multicellularity!If you are a postdoc candidate with background in biological fluid dynamics & like doing experiments -email!
Daniel Sussman retweeted
🚨 I've not been around X a lot recently so let me tell you about one project we've launched recently called *KIM Review* kimreview.org Kicked off by Ellad Tadmor, Ron Miller, and yours truly. Co-edited by 🌟Daan Frenkel and Steve Plimpton🌟 and a super editorial board!
Of course, I'm excited about the science problems we'll tackle with this, but also... did I mention that this is for arbitrary surfaces? Jamming problems on the surface of an elephant, anyone?
Toler Webb, a graduate student I have the pleasure of working with, has been doing heroic work implementing simulations of particles on curved manifolds! We'll be open-sourcing the code and writing up the methods paper describing it ASAP, so for now just a few fun snippets
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This is easy (or "easy") to do if the interactions only care about Euclidean distances, but we've extended our simulation framework to interactions that care about *geodesic* distances!
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