27.【Visualization】Understanding Difficult Semiconductor Physics and Control Theory Through Animation

tags: [“Visualization”, “Python”, “matplotlib”, “Education”, “Technical Explanation”]

Introduction 👀

Semiconductor physics and control theory are fields that are
not easy to grasp intuitively from static textbook diagrams alone.

Examples include:

• Band structures of pn junctions
• Step responses of control systems
• Behavior changes when gain or bias is adjusted

These phenomena are fundamentally multidimensional, involving:

Space × Time × Conditions

However, what textbooks usually present is only
📘 a single cross-section under a specific condition.

As a result,
continuity of change and causal relationships must be mentally reconstructed by the reader.

🧠 What I Did

Using Python (matplotlib), I combined:

• 📐 3D visualization
• ⏱ Time evolution
• 🎞 GIF animation

to create visualizations that can be played directly inside an article.

The goal is simple:

Before reading equations or explanations,
readers should be able to say,
“Ah, so this is how it moves.”

📦 About This Article Series

This experiment is organized as a three-article series:

1️⃣ Introduction (this article)
　The concept of animation as a tool for understanding

2️⃣ Example ①: pn Junction
　Visualizing band structures with 3D × bias sweep

3️⃣ Example ②: P Control
　Comparing system responses with different P gains using animation

All examples are topics that are
normally explained using static figures in textbooks.

✨ Summary

• The equations are correct
• The static diagrams are also correct

However, they represent only
a single slice of a multidimensional phenomenon.

Animation is a tool for
connecting those slices across time and conditions.

In the next article,
this approach will be applied concretely to
pn junction band structures 👉