Nature Podcast

04 July 2019: Machine learning in materials science, and sand’s sustainability

07.03.2019 - By Springer Nature LimitedPlay

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This week, using an algorithm to find properties in materials science, and the global consequences of sand-mining.

In this episode:

00:47 Predicting properties A word-association algorithm is reading millions of abstracts to discover new properties of materials.  Research article: Tshitoyan et al.; News and Views: Text mining facilitates materials discovery

08:28 Research Highlights Tiny robot-jellyfish, and genome mutation hot-spots.  Research Article:Multi-functional soft-bodied jellyfish-like swimming; Research Highlight:How DNA ‘hotspots’ snarl the search for cancer genes

10:48 Sand under strain Researchers warn that the mining of sand is unsustainable.  Comment:Time is running out for sand

15:44 News Chat The results of a bullying survey, and the spread of microbial disease through opioid use.  News: Germany’s prestigious Max Planck Society conducts huge bullying survey; News: The US opioid epidemic is driving a spike in infectious diseases Hosted on Acast. See acast.com/privacy for more information.

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