首页|Findings from Soochow University Reveals New Findings on MachineLearning (A Uni versal Descriptor for Two-dimensional CarbonNitride-based Single-atom Electroca talysts Towards the NitrogenReduction Reaction)
Findings from Soochow University Reveals New Findings on MachineLearning (A Uni versal Descriptor for Two-dimensional CarbonNitride-based Single-atom Electroca talysts Towards the NitrogenReduction Reaction)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting originating in Jiangsu, Peo ple’s Republic of China, by NewsRx journalists, research stated, “Theelectrocat alytic nitrogen reduction reaction (NRR) is widely regarded as one of the most p romisingways for green and carbon-free ammonia (NH3) synthesis under mild condi tions. Currently, strategies fordesigning highly efficient, selective, and stab le NRR electrocatalysts are desirable.”Funders for this research include National Key Research Program of China, Projec t of National Centerfor International Research on Intelligent Nano-Materials an d Detection Technology in EnvironmentalProtection, Soochow University, Natural Science Foundation of Jiangsu Province, National Natural ScienceFoundation of C hina (NSFC), Science and Technology Development Fund, Macau SAR, CollaborativeI nnovation Center of Suzhou Nano Science & Technology, Priority Aca demic Program Developmentof Jiangsu Higher Education Institutions (PAPD), Minis try of Education, China - 111 Project, JointInternational Research Laboratory o f Carbon-Based Functional Materials and Devices.
JiangsuPeople’s Republic of ChinaAsi aCyborgsEmergingTechnologiesMachine LearningNitrogenSoochow Universit y
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