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)
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.”
Key words
Tianjin/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/State Key Laboratory
NETL
NSTL