Category: Chaos

Experiments with arbitrary networks in time-multiplexed delay systems

Chaos paper highlighted as Editor’s Pick

Joe Hart’s┬árecently published Chaos paper on chimera and cluster states has been selected as an “Editor’s Pick” by the journal, and is open for free download for a limited time.

Dimensionality reduction and dynamical filtering: Stimulated Brillouin scattering in optical fibers

Chris Fritz and Dillan Chang complete TREND summer REU program

Congratulations to undergraduate students Chris Fritz (Dickinson) and Dillan Chang (Cornell), who concluded their 10-week research program with our laboratory, and presented their work at the annual TREND fair on August 7. Chris spent the summer investigating whether we could

Harvesting entropy and quantifying the transition from noise to chaos in a photon-counting feedback loop

Aaron Hagerstrom defends Ph.D.

Congratulations to Aaron Hagerstrom, who successfully defended his dissertation! Aaron’s research during the past 5 years has been featured so far in Nature Physics, Nature Communications and PNAS.

Research on Entropy, Noise and Chaos appears in PNAS

Our recent experimental study of time-delayed optoelectronic feedback loops incorporating a photon-counting detector has been published in the Proceedings of the National Academy of Science (PNAS). This paper shows a transition from single-photon shot noise to deterministic chaos, and describes

Newly published paper sheds light on symmetries and clusters in networks

Our latest research, appearing in Nature Communications, sheds light on the role of symmetries in the formation of clusters in networks.

Cluster synchronization and isolated desynchronization in complex networks with symmetries

Symmetries and Clusters in Complex Networks (Lou Pecora, Aaron Hagerstrom)

Join us at lunch this Thursday in ERF 1207 for the Applied Dynamics Seminar, when Lou Pecora (NRL) and Aaron Hagerstrom (UMD) will speak about their ongoing research on the relationship between symmetry and clusters in network synchronization.