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NRT-HDR: Harnessing AI for Understanding & Designing Materials (aiM)
NRT-HDR: Harnessing AI for Understanding & Designing Materials (aiM)

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    • Overview
    • Data Science Fundamentals
    • Materials Science Fundamentals
    • Applications in Data & MatSci
    • Capstone Project
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    • Properties of Metamaterials
    • Dynamical Heterogeneities in Polymers
    • Molecular Dynamics Simulations
    • New Stable Disordered Materials
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    • Why Apply - Is aiM right for me?
    • How to Apply
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Events

Applications Open for Fall 2023 cohort - AI for Understanding and Designing Materials (aiM) Program

February 8, 2023

3:00 pm

Zoom (Register for event link)

AI for Understanding and Designing Materials (aiM) Program - Info Session for Fall 2023 Applications

February 22, 2023

5:00 pm

Zoom (Register for event link)


Past Events

December 7, 2022

AI for Understanding and Designing Materials (aiM) Program - Info Session for Fall 2023 Applications

January 18, 2023

AI for Understanding and Designing Materials (aiM) Program - Info Session for Fall 2023 Applications

October 31, 2022

aiM Seminar: Determining Atomistic Structures from Theory and Experiment using FANTASTX by Maria Chan, PhD, Argonne National Lab Center for Nanoscale Materials

October 3, 2022

aiM Seminar: Using Various Microstructure Representations for Data-driven Design

September 26, 2022

aiM Seminar: Extracting Design Principles from Physics-Inspired Machine Learning

September 19, 2022

aiM Seminar: Leveraging ML to Model Human Anatomy and Material Design

February 8, 2022

aiM Info Session - 1

February 22, 2022

aiM Info Session - 2

October 27, 2021

MEMS/MatSci Seminar: AI+Modeling for Materials Design and Characterization

November 5, 2021

Approximating functions, functionals and operators with neural networks for diverse applications

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NRT-HDR: Harnessing AI for Understanding & Designing Materials (aiM)

Contact Us

  • Duke Engineering
  • Duke Computer Science
  • NSF

This material is based upon work supported by the National Science Foundation under Grant No. DGE-2022040

© 2023 Duke University | Contact Us

  • Duke Engineering
  • Duke Computer Science
  • NSF

This material is based upon work supported by the National Science Foundation under Grant No. DGE-2022040

    • Home
    • Training
      • Overview
      • Data Science Fundamentals
      • Materials Science Fundamentals
      • Applications in Data & MatSci
      • Capstone Project
    • Research
      • Overview
      • Properties of Metamaterials
      • Dynamical Heterogeneities in Polymers
      • Molecular Dynamics Simulations
      • New Stable Disordered Materials
    • People
      • Leadership
      • Trainees
      • Affiliate Members
    • Why/How to Apply
      • Why Apply - Is aiM right for me?
      • How to Apply
    • News & Events
      • News
      • Events
    • Outreach
    • Contact
    • Search form