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Directing Biosynthesis online

Directing biosynthesis online
Introduction
Welcome
You are warmly invited to join us online in April 2021. The Directing Biosynthesis conference has been a key meeting in the biosynthetic research calendar for over a decade and is set to be a highlight in 2021 for the community of researchers interested in the biosynthesis of natural products.
Organised by the Royal Society of Chemistry, the 2021 conference will host some of the leading researchers from around the world. Networking and discussion are an important part of Directing Biosynthesis meetings and this remains true for the online forum.
The conference promises to be a great forum for established and early-career scientists, post-graduate students and industrial researchers to network with each other and build strong collaborations for the future. ....

City Of , United Kingdom , Nordrhein Westfalen , United States , Yi Tang , Czech Republic , New Zealand , Massachusetts Institute Of Technology , Western Australia , Rice University , University Of Wisconsin , Rising Star , Region Flamande , New Forest , University Of Texas , Australian Capital Territory , South Australia , Salk Institute , Whitehead Institute , Scripps Institution Of Oceanography , China Sea , Brunei General , Baden Wuberg , Novartis Freenovation , Russell Cox , Christian Hertweck ,

Thanks to machine learning, the future of catalyst research is now!

To date, research in the field of combinatorial catalysts has relied on serendipitous discoveries of catalyst combinations. Now, scientists from Japan have streamlined a protocol that combines ran . ....

Toshiaki Taniike , Keisuke Takahashi , School Of Materials Science , Professor At Hokkaido University , Japan Advanced Institute Of Science , Materials Science , Japan Advanced Institute , Associate Professor , Hokkaido University , Combinatorial Catalysts , Oxidative Coupling Of Methane , கேசுக்கே தகாஹஷி , பள்ளி ஆஃப் பொருட்கள் அறிவியல் , ப்ரொஃபெஸர் இல் ோக்கைடோ பல்கலைக்கழகம் , பொருட்கள் அறிவியல் , இணை ப்ரொஃபெஸர் , ோக்கைடோ பல்கலைக்கழகம் ,

Thanks to machine learning, the future of catalyst research is now!

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IMAGE: 300 quaternary catalysts are randomly sampled from a large material space, where their performance in relation to OCM is systematically evaluated by high-throughput experimentation, followed by machine learning, to identify.
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Credit: JAIST
To date, research in the field of combinatorial catalysts has relied on serendipitous discoveries of catalyst combinations. Now, scientists from Japan have streamlined a protocol that combines random sampling, high-throughput experimentation, and data science to identify synergistic combinations of catalysts. With this breakthrough, the researchers hope to remove the limits placed on research by relying on chance discoveries and have their new protocol used more often in catalyst informatics. ....

Toshiaki Taniike , Keisuke Takahashi , School Of Materials Science , Professor At Hokkaido University , Japan Advanced Institute Of Science , Materials Science , Japan Advanced Institute , Associate Professor , Hokkaido University , கேசுக்கே தகாஹஷி , பள்ளி ஆஃப் பொருட்கள் அறிவியல் , ப்ரொஃபெஸர் இல் ோக்கைடோ பல்கலைக்கழகம் , பொருட்கள் அறிவியல் , இணை ப்ரொஃபெஸர் , ோக்கைடோ பல்கலைக்கழகம் ,