Sustained Order-Disorder Transitions in a Model Colloidal Network Crosslinked via Oscillator Proteins

Biological systems have the unique ability to self-organize and generate autonomous motion and work. Motivated by this, we investigate a 2D model colloidal network that can repeatedly transition between disordered states of low connectivity and ordered states of high connectivity when crosslinked by rhythmic oscillators motivated by bacterial proteins that maintain circadian rhythms. We use Langevin dynamics to investigate the time-dependent changes in structure and collective properties of this system as a function of colloidal packing fractions and crosslinker oscillation periods and characterize the degree of order in the system by using network connectivity, bond length distributions, and collective motion. Our simulations suggest the conditions for producing distinct states of this colloidal system with pronounced differences in the degree of microstructural order and desired residence times in the states. We are now extending our model to include filaments in place of disc-shaped colloids to mimic actin filaments and microtubules. Our results will aid in the experimental design of smart active materials that can cycle between ordered and disordered states.