Combining machine-learning models with first-principles high-throughput calculations to accelerate the search for promising thermoelectric materials
Thermoelectric materials can achieve direct energy conversion between electricity and heat,
and thus can be applied to waste-heat harvesting and solid-state cooling. The discovery of …
and thus can be applied to waste-heat harvesting and solid-state cooling. The discovery of …
Thermoelectric Material Performance (zT) Predictions with Machine Learning
Research efforts using the tools in machine-and deep learning models have begun to show
success in predicting target properties such as thermoelectric (TE) properties, including the …
success in predicting target properties such as thermoelectric (TE) properties, including the …
Hierarchy-boosted funnel learning for identifying semiconductors with ultralow lattice thermal conductivity
M Wu, S Yan, J Ren - ar** compositions of the Y-type hexaferrite Ba 2 Mg 2 Fe 12 O 22
remains a long-standing challenge for enhanced non-collinear magnetic transition …
remains a long-standing challenge for enhanced non-collinear magnetic transition …