Accelerating Green Energy Storage
Indian Scientists Use AI for Sodium-Ion Battery Breakthrough
A collaborative team from IKST and RISE created a deep-learning tool to predict battery voltage and lower costs.
A digital visualization of a sodium-ion battery with blue glowing connections representing an artificial intelligence network overlay.
Photo: Avantgarde News
A collaborative team of Indian scientists has developed a deep-learning tool to advance sodium-ion battery technology [1]. Researchers from the Center for International Knowledge on Science and Technology (IKST) and Research and Innovation for Sustainable Energy (RISE) led the development [1]. This AI-guided tool accurately predicts the operating voltage of battery materials [1]. The innovation aims to accelerate the commercialization of low-cost energy solutions [1]. These batteries are intended for large-scale grid storage and electric mobility applications [1]. By using deep learning, the team can streamline the design process for more sustainable battery chemistry [1].
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Drafted with LLM; human-edited
- AI assisted
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Avantgarde News Desk covers accelerating green energy storage and editorial analysis for Avantgarde News.