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Episode 7: RoboMapper reduces environmental impact of data generation

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内容由MRS Bulletin提供。所有播客内容(包括剧集、图形和播客描述)均由 MRS Bulletin 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.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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Manage episode 405881013 series 2602554
内容由MRS Bulletin提供。所有播客内容(包括剧集、图形和播客描述)均由 MRS Bulletin 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.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

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