首页|New Machine Learning Findings Reported from Northwestern Polytechnic University (Unveiling the Crystallization Mechanism of Cadmium Selenide Via Molecular Dynam ics Simulation With Machinelearning- based Deep Potential)
New Machine Learning Findings Reported from Northwestern Polytechnic University (Unveiling the Crystallization Mechanism of Cadmium Selenide Via Molecular Dynam ics Simulation With Machinelearning- based Deep Potential)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Fresh data on Machine Learning are presented in a new report. According to news reporting out of Xi'an, People's Republic of Chin a, by NewsRx editors, research stated, "Cadmium selenide (CdSe) is an inorganic semiconductor with unique optical and electronic properties that make it useful in various applications, including solar cells, light-emitting diodes, and biofl uorescent tagging. In order to synthesize high-quality crystals and subsequently integrate them into devices, it is crucial to understand the atomic scale cryst allization mechanism of CdSe." Funders for this research include National Natural Science Foundation of China ( NSFC), National Science Fund for Excellent Young Scientist Fund Program (Oversea s) of China, Science and Technology Activities Fund for Overseas Researchers of Shaanxi Province, China, Research Fund of the State Key Laboratory of Solidifica tion Proceeding (NPU) of China, International Center for Materials Discovery (IC MD) cluster of NPU, Swiss National Supercomputing Centre (CSCS).
Xi'anPeople's Republic of ChinaAsiaCadmiumCadmium SelenideChemicalsCyborgsEmerging TechnologiesMachine L earningMolecular DynamicsPhysicsTransition ElementsNorthwestern Polytech nic University
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