Big Data Techniques Help Capture and Store Carbon Dioxide
An international study used ‘big data’ techniques to select an optimal material for CO2 capture from a virtual library of more than 300,000 materials classified as metal–organic frameworks (MOFs).
(Picture: University of Granada)
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![Dr. E. Poonguzhali has successfully transferred commercially available starting materials to medicinally important 2-acylbenzo[b]thiophenes in the presence of copper acetate & tetrabutylammonium chloride catalytic system.](https://cdn1.vogel.de/ZK7wqjVy7Ps1OSwUs5tXgrNZGEE=/288x162/smart/filters:format(jpg):quality(80)/images.vogel.de/vogelonline/bdb/1964500/1964559/original.jpg "Dr. E. Poonguzhali has successfully transferred commercially available starting materials to medicinally important 2-acylbenzo[b]thiophenes in the presence of copper acetate & tetrabutylammonium chloride catalytic system.")
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/cdn4.vogel.de/infinity/white.jpg "An international study used ‘big data’ techniques to select an optimal material for CO2 capture from a virtual library of more than 300,000 materials classified as metal–organic frameworks (MOFs).")
