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Episode 7: RoboMapper reduces environmental impact of data generation

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Content provided by MRS Bulletin. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by MRS Bulletin or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In this podcast episode, MRS Bulletin’s Laura Leay interviews Aram Amassian from North Carolina State University about his group’s achievements using RoboMapper, a materials acceleration platform. In researchers’ quest to run environmentally-conscious laboratories, Amassian offers a solution that focuses on characterization of materials. Having found that characterization generates a lot of energy, his group developed an automated approach to screening small samples in order to identify ones that warranted more in-depth study. By using their automated approach, the researchers found quantitative structure–property relationships for wide-bandgap perovskites. This work was published in a recent issue of Matter.

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91 episodes

Artwork
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Manage episode 405881013 series 2602554
Content provided by MRS Bulletin. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by MRS Bulletin or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In this podcast episode, MRS Bulletin’s Laura Leay interviews Aram Amassian from North Carolina State University about his group’s achievements using RoboMapper, a materials acceleration platform. In researchers’ quest to run environmentally-conscious laboratories, Amassian offers a solution that focuses on characterization of materials. Having found that characterization generates a lot of energy, his group developed an automated approach to screening small samples in order to identify ones that warranted more in-depth study. By using their automated approach, the researchers found quantitative structure–property relationships for wide-bandgap perovskites. This work was published in a recent issue of Matter.

  continue reading

91 episodes

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