首页|Recent Findings from Beihang University Highlight Research in Machine Learning ( Interpretable machine learning for materials discovery: Predicting CO2 adsorptio n properties of metal-organic frameworks)
Recent Findings from Beihang University Highlight Research in Machine Learning ( Interpretable machine learning for materials discovery: Predicting CO2 adsorptio n properties of metal-organic frameworks)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in artificial intelligence. According to news reportingoriginating from Beijing, P eople’s Republic of China, by NewsRx correspondents, research stated, “Metalorganic frameworks (MOFs), as novel porous crystalline materials with high porosity and a large specificsurface area, have been increasingly utilized for CO2 adso rption.”
Beihang UniversityBeijingPeople’s Re public of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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