Active Learning Guides Discovery of 2D Materials with High Spin Hall Conductivity

This article reports on the use of active learning, a machine learning technique, to accelerate the discovery of two-dimensional (2D) materials with large spin Hall conductivity. This is significant because materials with high spin Hall conductivity are crucial for spintronic devices. The use of computational methods guided by active learning allows for a more efficient exploration of the vast material space, potentially leading to the identification of novel and high-performing materials. The source, ArXiv, indicates this is a pre-print, suggesting the research is recent and undergoing peer review.