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  <title><![CDATA[polymer-generative-AI-Rampi-Ramprasad-6206-t_0.jpg]]></title>
      <body><![CDATA[<p>Researchers&nbsp;have&nbsp;created&nbsp;a&nbsp;chemical&nbsp;language&nbsp;AI&nbsp;model&nbsp;to&nbsp;generate&nbsp;new&nbsp;polymer&nbsp;structures&nbsp;based&nbsp;on&nbsp;the&nbsp;properties&nbsp;those&nbsp;polymers&nbsp;need&nbsp;to&nbsp;exhibit.&nbsp;Led&nbsp;by&nbsp;Rampi&nbsp;Ramprasad,&nbsp;standing,&nbsp;the&nbsp;team&nbsp;included&nbsp;postdoctoral&nbsp;scholar&nbsp;Wei&nbsp;Xiong,&nbsp;Ph.D.&nbsp;student&nbsp;Anagha&nbsp;Savit,&nbsp;and&nbsp;research&nbsp;scientist&nbsp;Harikrishna&nbsp;Sahu,&nbsp;who&nbsp;are&nbsp;seated&nbsp;left&nbsp;to&nbsp;right.&nbsp;(Photo:&nbsp;Candler&nbsp;Hobbs)</p>]]></body>
    <alt><![CDATA[Rampi Ramprasad and three members of his research team discuss their AI model for generative polymer design in his office.]]></alt>
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      <alt><![CDATA[Rampi Ramprasad and three members of his research team discuss their AI model for generative polymer design in his office.]]></alt>
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          <item><![CDATA[College of Engineering]]></item>
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