Erin Teich

2019

Erin G. Teich, Greg van Anders, and Sharon C. Glotzer (2019): Identity Crisis in Alchemical Space Drives the Entropic Colloidal Glass Transition, Nature Communications, Springer Nature, Vol 10, Num 1, pp64
Ryan L. Marson, Erin G. Teich, Julia Dshemuchadse, Sharon C. Glotzer, and Ronald G. Larson (2019): Computational self-assembly of colloidal crystals from Platonic polyhedral sphere clusters, Soft Matter, The Royal Society of Chemistry, Vol 15, Num 31, pp6288-6299
Sangmin Lee, Erin G. Teich, Michael Engel, and Sharon C. Glotzer (2019): Entropic colloidal crystallization pathways via fluid-fluid transitions and multidimensional prenucleation motifs, Proceedings of the National Academy of Sciences, National Academy of Sciences, Vol 116, Num 30, pp14843-14851
William Zygmunt, Erin G. Teich, Greg van Anders, and Sharon C. Glotzer (2019): Topological order in densely packed anisotropic colloids, Physical Review E, American Physical Society, Vol 100, Num 3, pp032608

2018

Erin Teich (2018): Local Structure in Hard Particle Self-Assembly and Assembly Failure, Michigan Publishing and the University of Michigan Library, Deep Blue, Vol Dissertations and theses

2017

Erin Teich (2017): Glassy Dynamics and Identity Crises in Hard-Particle Systems, 2017 Blue Waters Annual Report, pp286-287

Blue Waters graduate fellow earns distinction for thesis


Mar 29, 2019

The University of Michigan’s Rackham Graduate School recognized Erin Teich’s doctoral dissertation as one of the 20 best published by its 2018 graduates. In the thesis, “Local Structure in Hard Particle Self-Assembly and Assembly Failure”, Teich investigated local structure in systems of anisotropic particles mediated exclusively by entropy maximization. Specifically, she explored the role of local structure in crystallization and its failure by tackling two related lines of inquiry. Wrote Teich as she introduced the first line of inquiry: “First, I study the interplay between particle shape and spherical confinement in systems of hard polyhedral particles, to examine locally dense clusters of anisotropic particles and their possible connection to preferred local structures during unconfined self-assembly. I use Monte Carlo simulation methods to find putative densest clusters of the Platonic solids in spherical confinement, for up to N = 60 constituent particles.” The thesis was among the 10 that the Michigan Society of Fellows deemed worthy of honorable mention after reviewing faculty-nominated works for the Rackham Graduate School’s distinguished dissertation award. The Society of Fellows selected the 10 best as winners of the award.


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Blue Waters Graduate Fellow: Erin Teich


Sep 22, 2016

Very generally, what we study in our labs is a process called self-assembly. And this is relevant for a lot of different processes, but it turns out that material on a variety of scales basically self-organizes. This allows for the creation of materials by basically harnessing the urge that things have on certain temperature and energy scales in order to self-organize. They do that because they want to minimize their free energy. For the Blue Waters Fellowship, I'll be looking at disordered materials via simulation. There are materials called glasses, which is just like everyday glass, and amazingly enough, they are still not well understood. Physicists have been studying glass for decades and decades, and really centuries if you think about it, and physical properties of glasses still aren't well understood; like how glasses form, and whether or not that's a phase transition. So with the Blue Waters Fellowship, I'll be simulating glass formation in colloidal systems on the microscale, and trying to uncover, if possible, some of the reasons why glass formation happens in those types of systems.


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Ten PhD students from across the country selected as Blue Waters Graduate Fellows


Apr 19, 2016

Ten outstanding computational science PhD students from across the country have been selected to receive Blue Waters Graduate Fellowships for 2016-2017. The fellowship program, now in its third year, provides substantial support and the opportunity to leverage the petascale power of National Center for Supercomputing Applications (NCSA) at the University of Illinois’s Blue Waters supercomputer to advance their research. The awards are made to outstanding PhD graduate students who have decided to incorporate high performance computing and data analysis into their research.


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