SCILIGHT
Battery characterization method could enable higher performance electric vehicles
Technique combines atomic force microscopy and Raman spectroscopy to probe dynamic structure-property relationships of cathode materials.
How urban geometry influences air flow and heat stress
Inertial and buoyancy forcing combine to create air flow patterns heavily influenced by the shape of urban street-canyons.
Classifying birdsong in environments with everchanging sounds
In long-term environmental monitoring, new and rare noises, which aren’t included in training sets, pose problems for traditional machine learning architectures. Open set classification strategies can help.
Shedding light on the state-of-the-art in data-driven modeling of wind farms
Examining data-driven and machine learning modelling techniques to improve wind-farm flow predictions and power harvesting
Machine-learning method promises physically meaningful analysis of erratic ocean behavior
Enabling physical interpretation of highly chaotic ocean systems at different timescales
Understanding and predicting the spread of Omicron
Refined epidemiological model forecasts new cases of the COVID-19 Omicron variant
Assessing hydrokinetic energy conversion for rivers across the world
Energy extraction opportunities may exist at locations undesirable for conventional hydropower plants.
Simple, low-cost method measures thermal diffusivity of food
High school students determine thermal properties through variable manipulation of several foods.
Remotely Teaching Optics with Smartphone Camera
Low-budget experiment can teach introductory, advanced physics students about thin lens equation
