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

Nature Podcast

Jul 03, 2019•23 min

--:--

Listen in podcast apps:

Apple Podcasts

Spotify

Download

Listen to this episode in Metacast mobile app

Don't just listen to podcasts. Learn from them with transcripts, summaries, and chapters for every episode. Skim, search, and bookmark insights. Learn more

Episode description

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.

For the best experience, listen in Metacast app for iOS or Android