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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.

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📚 Syllabus & Course Curriculum

Nanotechnology & Materials Science

Module-by-module breakdown of Density Functional Theory Modeling of MXene Heterostructures for EV Battery Materials, from foundations to a certified capstone project.

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Outline

Explore MXene basics and their role in EV batteries • Grasp core DFT theory and electronic‑structure prediction • Set up a DFT environment and run a simple MXene cell calculation

Outline

Construct and optimise MXene heterostructures • Analyse band structures, DOS, and charge‑density maps • Predict intercalation potentials and ion‑diffusion pathways

Outline

Screen MXene candidates for high‑energy EV storage • Perform defect engineering and capacity prediction • Integrate computational results with experimental/industry data and explore emerging design trends

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

e-Certificate and e-Marksheet issued on successful completion.

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