Ramprasad Group
School of Materials Science and Engineering, Georgia Institute of Technology

Accelerating materials design through computation and machine learning

Projects Publications Resources

326 publications since 1993

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Group Lunch Fall 2025
Group Lunch Fall 2025Group Lunch Fall 2025
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GroupPhoto-2025Fall
group and matmerize
group and matmerize
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January_2022_group_photo
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Ramprasad_groupRamprasad group on August 27th
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Group meeting - 26th march 2019
Group meeting - 26th march 2019
Group Dinner June 2019
Group Dinner June 2019Past present and future members of the group meet for Dinner during MLSE 2019: Left to right : Arun, James, Deepak, Keara, Shruti, Rohit, Beatrice, Lihua, Abhirup
2017 April
2017 April
2015 December
2015 December
2017 April
2017 April
2014 April
2014 April
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gp_meeting_9_14_20

Recent News

  • December 2025, Rampi Ramprasad among the world's most highly cited researchers in 2025; see article here.
  • August 2025, Rampi Ramprasad Awarded $2 Million Grant to Pioneer AI-Driven Recyclable Packaging Materials Design; see article here.
  • August 2024, Georgia Tech spotlights the Ramprasad group's efforts in using AI to find the polymers of the future; see article here.
  • April 2024, Professor Ramprasad is awarded the Regent's Entrepreneur title, which is among the highest distinctions for faculty members at the University System of Georgia; see article here.
  • March 2024, Rishi Gurnani earned the Georgia Tech Best Ph.D. Thesis Award from Sigma Xi.
  • November 2023, Rishi Gurnani earned the Graduate Student Award from the Materials Research Society; see story here.
  • San Diego Supercomputer Center highlights research by Huan Tran, Kuan-Hsuan Shen, Shivank Shukla, and Rampi Ramprasad to utilize Expanse to pioneer breakthroughs in fuel cell proton exchange membrane design; see article here. This work was bone in collaboration with the Toyota Research Institute.
  • Georgia Tech spotlights collaborative efforts by Janhavi Nistane, Lihua Chen, and the Ramprasad, Lively, and Finn groups in developing an ML-informed pipeline for novel polymers, aimed at reducing energy in crude oil distillation; see article here.
  • polyBERT, a chemical language model created by Chris Kuenneth and Rampi Ramprasad, is featured in an article written by the Georgia Tech News Center; see article here.
  • Matmerize, the polymer informatics startup co-founded by Dr. Ramprasad, is featured in an article released by the Office of Technology Licensing at Georgia Tech; see article here.
  • Polymer Scholar, a polymer property data search interface built by Pranav Shetty and described in this npj computational materials paper, is featured in an article by the College of Computing at Georgia Tech; see article here.
  • December 2022, Rishi Gurnani receives gold metal at 2nd international forum in energy & informatics; See story here
  • April 2022, Aubrey Toland was awarded the NSF GRFP.
  • February 2022, Pranav Shetty was awarded the J.P. Morgan PhD fellowship; See fellowship award here.
  • Joe Kern is awarded the National Defense Science and Engineering Graduate (NDSEG) Fellowship.
  • “Machine-learning predictions of polymer properties with Polymer Genome,” has been featured on the cover of Journal of Applied Physics; see cover art.
  • Nature Reviews Materials and Nature Machine Intelligence publish articles on Machine Learning; see press release.
  • Brandon Phan is awarded the Graduate Assistance in Areas of National Need (GAANN) fellowship in Polymeric Materials Science and Engineering.
  • We welcome 5 new graduate students - Joe Kern, Janhavi Nistane, Brandon Phan, Shivank Shukla, Aubrey Toland, and a new postdoc - Dr. Kevin Shen, to our group.
  • Prof. Ramprasad is elected as a Fellow of the Materials Research Society (2020).

    • Recent Publications

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    Resources

    Polymer Genome

    A polymer property prediction platform, powered by machine learning, experimental data, and density functional theory computations

    Khazana

    User-friendly & searchable repository of downloadable published computational data and general purpose machine learning utilities from the Ramprasad Group

    Polymer Scholar

    A polymer property data search interface

    polyBERT

    A chemical language model to enable fully machine-driven ultrafast polymer informatics