Nature Energy, Published online: 17 February 2026; doi:10.1038/s41560-026-01985-z How knowledge is shared across different battery chemistries is important to industrial strategy and techno-economic forecasting but remains poorly understood. Here the authors perform large language model-based patent analysis of over 15,000 families and show sustained knowledge flows between and within lithium-ion and sodium-ion batteries, indicating interdependence across chemistries.
Nature Energy, Published online: 17 February 2026;
doi:10.1038/s41560-026-01985-z
How knowledge is shared across different battery chemistries is important to industrial strategy and techno-economic forecasting but remains poorly understood. Here the authors perform large language model-based patent analysis of over 15,000 families and show sustained knowledge flows between and within lithium-ion and sodium-ion batteries, indicating interdependence across chemistries.
— Source: Nature Energy (https://www.nature.com/articles/s41560-026-01985-z)