GenAI for Scientific Discovery in Electrochemical Energy Storage: State‐of‐the‐Art and Perspectives from Nano‐ and Micro‐Scale (Small 50/2024)
Source abstract
Abstract
Electrochemical Energy Storage The image represents the use of Generative AI in the advancement of electrochemical energy storage, including fuel cells, lithium-ion batteries, and flow batteries. It symbolizes the integration of nano-scale material sciences with AI technologies for enhanced performance and sustainability in advanced energy storage systems. More in article number 2406153, Shuangqi Li, Fengqi You.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Fuel Cells and Related Materials · Conducting polymers and applications · Supercapacitor Materials and Fabrication
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Systems Engineering Cornell University Ithaca NY 14853 USA
Cornell University AI for Science Institute (CUAISci) Cornell University Ithaca NY 14853 USA
Robert Frederick Smith School of Chemical and Biomolecular Engineering Cornell University Ithaca NY 14853 USA
References
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