首页|New Machine Learning Study Results from South China Agricultural University Desc ribed (Exploration and Design of Carbon Dotbased Long Afterglow Materials Using Active Machine Learning and Quantum Chemical Simulations)
New Machine Learning Study Results from South China Agricultural University Desc ribed (Exploration and Design of Carbon Dotbased Long Afterglow Materials Using Active Machine Learning and Quantum Chemical Simulations)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news reporting from Guangzhou, Peopl e’s Republic of China, by NewsRx journalists, research stated, “Long afterglow m aterials based on carbon dots (CDs) have attracted extensive attention in the fi eld of optics due to their low cost and nontoxic properties. However, the target ed synthesis of specific properties of complex and unknown structures such as CD s remains a daunting challenge.”
GuangzhouPeople’s Republic of ChinaA siaCyborgsEmerging TechnologiesMachine LearningSouth China Agricultural University
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