首页|Investigators at State Key Laboratory Describe Findings in Machine Learning (Integrating Multiscale Simulation With Machine Learning To Screen and Design Fil@co fs for Ethane-selective Separation)
Investigators at State Key Laboratory Describe Findings in Machine Learning (Integrating Multiscale Simulation With Machine Learning To Screen and Design Fil@co fs for Ethane-selective Separation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingoriginating in Tianjin, People’s Rep ublic of China, by NewsRx journalists, research stated, “Efficientand economica l separation of C2H6/C2H4 is an imperative and extremely challenging process in thepetrochemical industry. The C2H6-selective adsorbents with high working capa city and high selectivityare highly desirable from a practical application stan dpoint.”
TianjinPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningState Key Laboratory
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