Author name: Annita Selwyn

Unlocking Solid-State Battery Potential: French Researchers Decode Polymer Electrolyte Behavior

Researchers from the Centre National de la Recherche Scientifique (CNRS) in France, including Amaury Coste, Thomas Meyer, Claire Villevielle, Fannie Alloin, Stefano Mossa, and Benoit Coasne, have published a study in the Journal of Physical Chemistry

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AI-Driven Microgrid Breakthrough: Real-Time Adaptive Resource Allocation Redefines Smart Energy Systems

A groundbreaking study published this week in Scientific Reports unveils a deep learning and IoT-driven framework capable of real-time adaptive resource allocation and grid optimization in smart energy systems. This innovation marks a significant leap forward in addressing the long-standing challenge of dynamic energy management, offering a scalable solution for integrating renewable sources and enhancing grid resilience in the face of fluctuating demand and supply conditions.

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