A fast-slow switching framework can capture the natural timescales of important processes when it comes to banded vegetation.

Ultrasound computed tomography has the potential to save lives by detecting a tension pneumothorax at a patient's bedside.

A theoretical mechanical model studies the inverse problem of source identification to localize a prey in a spider orb-web.

Sharmila Venugopal examines the type of cognition that is built into neurons for signal detection and noise modulation.

Medical practitioners use drug-eluting coatings that disperse therapeutic agents into the polymeric surface of metallic implants.

Mathematical models for seismic hazard quantify the expected earthquake shaking in terms of various ground motion intensity measures.

L. Mahadevan’s research explores how a swarm of bees in a congested hive stays cool on hot summer days.

Scientists and non-scientists are interested in whether climate change is responsible for specific weather events.

Emerging heterogeneous computer architectures and predictive science have increased the complexity of software.

Mark Levi explains Richard Feynman’s observation of a wobbling plate that earned him the Nobel Prize.

People's beliefs, opinions, and choices are increasingly polarized in terms of social, political, and economic decisions.

The capelin, a small planktivorous fish that lives in Arctic and subarctic waters, is a key species in many marine ecosystems.

Modeling the formation and evolution of topographic features is of great importance in hydrology and geomorphology.

Dynamical systems theory helps researchers understand mass extinction events, which are associated with disruptions of the carbon cycle.

A novel technique employs network analysis to identify eye-gaze patterns of children with autism spectrum disorder.