Electrical Conductivity

Electrical conductivity, the ability of a material to conduct electric current, is a fundamental property studied across diverse fields, with research focusing on improving its measurement and prediction. Current efforts utilize machine learning, particularly deep neural networks and other algorithms like random forests and k-nearest neighbors, to optimize conductivity in materials like doped polymers and to infer conductivity distributions from indirect measurements, such as electrograms in cardiac tissue or electromagnetic induction in soil. These advancements are improving the efficiency of material discovery, enabling precision agriculture through improved soil analysis, and enhancing medical imaging techniques.