Sparse system identification is the data-driven process of obtaining parsimonious differential
equations that describe the evolution of a dynamical system, balancing model complexity …

Biochemical–chemical sensing with plasmonic sensors is widely performed by tracking the
responses of surface plasmonic resonance peaks to changes in the medium. Interestingly …

Estimating the direction of ambient fluid flow is a crucial step during chemical plume tracking
for flying and swimming animals. How animals accomplish this remains an open area of …

For organisms tracking a chemical cue to its source, the motion of their surrounding fluid
provides crucial information for success. Swimming and flying animals engaged in olfaction …

Identifying governing equations for a dynamical system is a topic of critical interest across an
array of disciplines, from mathematics to engineering to biology. Machine learning …

For any organism tracking a chemical cue to its source, the motion of its surrounding fluid
provides crucial information for success. For both swimming and flying animals engaged in …

In order to facilitate safety of heavy-duty batteries, approaches for studying thermal runaway
(TR) need to be developed. So far, these have relied on accelerating rate calorimetry as a …

Approaching threats are perceived through visual looming, a rapid expansion of an image
on the retina. Visual looming triggers defensive responses such as freezing, flight, turning, or …

A fiber‐based approach that generates mid‐infrared femtosecond pulses in the 3–4 μ \umu
m spectral region with microjoule‐level single pulse energy is demonstrated. This is realized …

Motion tracking is a widely used image processing technique, where the goal is to follow
and register the movement of specified objects over time, from video recordings. Thanks to …