首页|Investigators at Dalian University of Technology Describe Findings in Machine Learning (Modelling Electrified Microporous Carbon/electrolyte Electrochemical Interface and Unraveling Charge Storage Mechanism By Machine Learning Accelerated ...)
Investigators at Dalian University of Technology Describe Findings in Machine Learning (Modelling Electrified Microporous Carbon/electrolyte Electrochemical Interface and Unraveling Charge Storage Mechanism By Machine Learning Accelerated ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in Machine Learning. According to news reporting out of Dalian,People’s Republic of China, by NewsRx editors, research stated, “Ion storage in electric double layer (EDL)of microporous carbon (<1 nm) has been demonstrated to be a partially desolvated structure, leading toa capacitance increase. Due to the relevance of the interface structure to capacitance behavior and chargestorage mechanism, it is critical to give a deep insight into the micropore/ electrolyte interface at themolecular scale.”Financial supporters for this research include National Natural Science Foundation of China (NSFC),China Postdoctoral Science Foundation.
DalianPeople’s Republic of ChinaAsiaChemicalsCyborgsElectrochemicalsElectrolytesEmerging TechnologiesInorganic ChemicalsMachine LearningMolecular DynamicsPhysicsDalian University of Technology
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