Chance Norris

Chance Norris's available bibliographic record is very limited, but the topics associated with their work point toward battery materials research and imaging-based analysis of material properties, including the use of machine learning methods to quantify uncertainty in simulations. One identifiable publication discusses using Bayesian convolutional neural networks (a machine learning technique that also estimates how confident its predictions are) to study uncertainty in 3D image-based simulations of material properties. Prospective students should note that the underlying data here is sparse, so this profile may not fully reflect the scope of their work.

Publication output has been low and irregular over the last decade, with a small peak around 2021 and no consistent yearly output before or after.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026