Simulating Nanostructure Band Structures with Matlab

Learn to model the electronic properties of graphene and carbon nanotubes by building tight-binding simulations and E-K diagrams in Matlab.

โ˜… 4.4 (92) โฑ 1h 24m ๐Ÿ“š 8 lessons ๐ŸŽง Audio version

About this course

Computational nanotechnology allows us to predict how materials behave at the atomic scale before they are ever fabricated. If you want to understand how materials like graphene conduct electricity, learning to simulate their electronic band structures is the essential first step. This course guides you through the fundamental physics and coding techniques needed to simulate nanostructures. You will transition from understanding basic quantum concepts to writing clean, efficient Matlab scripts that calculate energy dispersion relations (E-K diagrams) for real-world nanomaterials. What you'll learn: - Understand the core quantum mechanical principles behind tight-binding models. - Calculate and plot E-K diagrams for graphene and carbon nanotubes. - Write structured Matlab code to construct Hamiltonian matrices for atomic lattices. - Apply vectorized matrix operations in Matlab to optimize simulation performance. - Analyze how structural changes in nanostructures affect their electronic conductivity. The course starts with foundational solid-state physics definitions before guiding you step-by-step through translating mathematical equations into working Matlab code. You will explore physical models, write simulation scripts, and interpret the resulting electronic properties through structured written explanations and code examples. This course is designed for students, researchers, and beginners in nanotechnology or computational physics. No prior simulation experience is required, though a basic familiarity with Matlab and matrix algebra will help you get the most out of the material. Start exploring the quantum world through code and begin simulating advanced materials today.

What you'll get

  • ๐Ÿ“œ Certificate of completion
    Add it to your LinkedIn profile
  • ๐Ÿ’ฌ Personal AI tutor
    Stuck on a lesson? Ask your built-in tutor anything, any time.
  • ๐ŸŽง Audio version included
    Learn on the go โ€” no screen needed
  • โ™พ๏ธ Lifetime access
    Come back anytime, no expiry
  • ๐Ÿ“ฑ Phone or computer
    Works anywhere, any device
  • ๐Ÿ’ธ 30-day refund
    No questions asked
  • โšก Short & focused
    1h 24m of practical content

Reviews (3)

ะžะปะตะฝะฐ ะกะธะดะพั€ะตะฝะบะพ UA
โ˜… 4 ยท 2026-03-21T13:00:57+00:00

It's a solid course. The structure is logical and most of the examples were helpful. Could use a few more real-world scenarios though.

Henrique Santos BR Verified learner
โ˜… 4 ยท 2026-01-12T06:01:57+00:00

Fantastic learning experience. The pace was perfect, and the examples really solidified the concepts. Big thumbs up!

Kebebew Tadese ET Verified learner
โ˜… 4 ยท 2024-12-19T13:55:57+00:00

This course exceeded my expectations. The real-world applications discussed are incredibly useful. Great job!

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Just a phone or computer with internet. No installs, no special hardware.

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Forever. Once you purchase, the course is yours to revisit anytime.

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Yes. On completion you'll receive a certificate you can add to your LinkedIn profile.

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