Energy: Sustainable Materials and Design

Build a solar tracker study that compares reinforcement learning and astronomical control, then measure how each strategy changes energy yield.

Build a machine-learning model that predicts 18650 battery health from early charging curves and learns feature extraction, classification, and validation.

Build a low-cost imaging workflow to spot solar cell microcracks, calibrate image contrast, and compare damage patterns in reused PV cells.

Test how electrolyte choice changes CO2 reduction and Faradaic efficiency, then build analysis skills in electrochemistry and data interpretation.

Build a data model that maps where community solar can lower bills and reach underserved neighborhoods using census and rooftop data.

Measure how droplet size and salinity change triboelectric output, then build cleaner calibration and analysis skills for a rain-harvesting sensor.

Test how inlet pressure changes cold-side temperature drop in a PVC vortex tube and build skills in thermal measurement and data analysis.

Test how WO3 film thickness changes hydrogen response speed, then build color measurements, controls, and calibration for sensing.

Test how water flow drives piezo vibration output, build calibration curves, and compare designs for small-scale energy harvesting.

Test oscillating-water-column wave energy designs in a sloshing tank and learn how geometry changes pressure, motion, and power capture.