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DSTC-01063 Online (e-LMS) Graduate / Intermediate

Density Functional Theory Modeling of MXene Heterostructures for EV Battery Materials

by - DSTC

Master Density Functional Theory Modeling of MXene Heterostructures for EV Battery Materials in 4 weeks through hands-on, project-based online training with DSTC.

★★★★★ Be the first to review 3 Days · 4.5 hrs e-Certificate Included
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From ₹2,500 + GST

🧬 Open Datasets & Research Resources

Nanotechnology & Materials Science

Open-access datasets and repositories to practise the methods taught in Density Functional Theory Modeling of MXene Heterostructures for EV Battery Materials.

Density functional theory training course for researchersLearn density functional theoryDensity functional theory industry applicationsBattery workshopDensity functional theory training Saudi ArabiaDensity functional theory training United States
  • Materials Project
    Computed materials properties
    Open ↗
  • NOMAD
    Materials-science data repository
    Open ↗
  • Crystallography Open DB
    Open crystal structures
    Open ↗
  • Kaggle Materials
    Materials & imaging sets
    Open ↗

External links open in a new tab; DSTC is not affiliated with these repositories.

Earn government-registered certification in Density Functional Theory Modeling of MXene Heterostructures for EV Battery Materials

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