Topological Entanglement Entropy of Fracton Stabilizer Codes

(2017)

Authors:

Han Ma, AT Schmitz, SA Parameswaran, Michael Hermele, Rahul M Nandkishore

Quantum quench in the infinitely repulsive Hubbard model: the stationary state

Journal of Statistical Mechanics Theory and Experiment IOP Publishing 2017:10 (2017) 103107

Authors:

Bruno Bertini, Elena Tartaglia, Pasquale Calabrese

Condensation-driven phase transitions in perturbed string nets

Physical Review B 96:15 (2017)

Authors:

M Mariën, J Haegeman, P Fendley, F Verstraete

Correlation function diagnostics for type-I fracton phases

(2017)

Authors:

Trithep Devakul, SA Parameswaran, SL Sondhi

High-Speed “4D” Computational Microscopy of Bacterial Surface Motility

ACS Nano American Chemical Society (ACS) 11:9 (2017) 9340-9351

Authors:

Jaime de Anda, Ernest Y Lee, Calvin K Lee, Rachel R Bennett, Xiang Ji, Soheil Soltani, Mark C Harrison, Amy E Baker, Yun Luo, Tom Chou, George A O’Toole, Andrea M Armani, Ramin Golestanian, Gerard CL Wong

Abstract:

Bacteria exhibit surface motility modes that play pivotal roles in early-stage biofilm community development, such as type IV pili-driven "twitching" motility and flagellum-driven "spinning" and "swarming" motility. Appendage-driven motility is controlled by molecular motors, and analysis of surface motility behavior is complicated by its inherently 3D nature, the speed of which is too fast for confocal microscopy to capture. Here, we combine electromagnetic field computation and statistical image analysis to generate 3D movies close to a surface at 5 ms time resolution using conventional inverted microscopes. We treat each bacterial cell as a spherocylindrical lens and use finite element modeling to solve Maxwell's equations and compute the diffracted light intensities associated with different angular orientations of the bacterium relative to the surface. By performing cross-correlation calculations between measured 2D microscopy images and a library of computed light intensities, we demonstrate that near-surface 3D movies of Pseudomonas aeruginosa translational and rotational motion are possible at high temporal resolution. Comparison between computational reconstructions and detailed hydrodynamic calculations reveals that P. aeruginosa act like low Reynolds number spinning tops with unstable orbits, driven by a flagellum motor with a torque output of ∼2 pN μm. Interestingly, our analysis reveals that P. aeruginosa can undergo complex flagellum-driven dynamical behavior, including precession, nutation, and an unexpected taxonomy of surface motility mechanisms, including upright-spinning bacteria that diffuse laterally across the surface, and horizontal bacteria that follow helicoidal trajectories and exhibit superdiffusive movements parallel to the surface.