Chemistry

Measure olive oil quality with refractive index, UV fluorescence, and random-forest models to classify adulteration patterns.

Measure copper growth patterns, estimate fractal dimension, and compare electrodeposition with DLA simulations using real data.

Model proton hopping in confined water with equivariant neural networks, and learn how nanotube diameter changes transport and simulation accuracy.

Model how cosmic-ray ionization changes methanol and formaldehyde abundances in cold clouds, and build Python kinetic Monte Carlo skills.

Use graph metrics on reaction data to find overlooked green chemistry transformations and build your skills in network analysis, ranking, and validation.

Test how glycerol and citric acid ratios change crosslinking, then measure glass transition with a DIY cantilever setup.

Measure how growth conditions change mycelium foam strength, density, and decay, then use simple ML to predict performance.

Use Materials Project data and DFT screening to rank lead-free perovskite halides, then test stability and band gaps for solar cells.

Build and compare copper amino acid catalysts, then link structure to dye degradation rates with kinetics and DFT-backed analysis.

Model how sunscreen UV filters break down in water, then test sunlight-driven color changes and reaction kinetics with real data.