首页|Research Conducted at Jiangsu University Has Updated Our Knowledge about Machine Learning (Accelerated Discovery of Co2 Solid Sorbents Using Active Machine Lear ning: Review and Perspectives)
Research Conducted at Jiangsu University Has Updated Our Knowledge about Machine Learning (Accelerated Discovery of Co2 Solid Sorbents Using Active Machine Lear ning: Review and Perspectives)
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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 out of Zhenjiang, Peo ple's Republic of China, by NewsRx editors, research stated, "With the escalatin g severity of global climate change, the significance of carbon capture technolo gy has become increasingly evident with respect to the aim of reaching carbon pe ak and carbon neutrality. Due to the exceptional selectivity, high adsorption ca pacity, and long-term stability, solid sorbents are regarded as crucial material s for effective CO2 capture." Financial support for this research came from Senior Talent Foundation of Jiangs u University. Our news journalists obtained a quote from the research from Jiangsu University, "Machine learning, as an emerging and crucial tool in artificial intelligence, has been adopted for the high-efficient screen of catalysts and sorbents in rece nt years. By analyzing available data on material properties, machine learning c an greatly enhance the effectiveness and precision in identifying high-efficienc y CO2 sorbents. This work provides an overview of the latest advancements in the application of machine learning technology in CO2 capture, which specificAlly f ocuses on CO2 capture by sorbents. Several machine learning techniques and their applications in different types of CO2 sorbents are fully summarized with conci se comments, followed with conclusion and some chAllenges and perspectives."
ZhenjiangPeople's Republic of ChinaA siaCyborgsEmerging TechnologiesMachine LearningTechnologyJiangsu Unive rsity
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