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35 Python scripts generated for pore size distribution this week

Pore Size Distribution

Chart overview

Pore size distributions (PSDs) derived from N2 adsorption/desorption isotherms using the BJH or DFT method are fundamental for characterizing mesoporous materials including zeolites, metal-organic frameworks, aerogels, and porous carbons.

Key points

  • The distribution reveals the dominant pore diameter, pore volume, and uniformity, while the isotherm shape (Types I-VI) identifies the pore structure.
  • BET surface area and PSD together determine catalytic activity, gas storage capacity, drug loading in drug delivery systems, and filtration performance.

Example Visualization

Pore size distribution plot showing dV/dD versus pore diameter with a sharp peak at the dominant mesopore size alongside an N2 adsorption isotherm

Create This Chart Now

Generate publication-ready pore size distributions with AI in seconds. No coding required – just describe your data and let AI do the work.

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Example AI Prompt

"Create a publication-quality pore size distribution plot from my BET/BJH adsorption data. Plot differential pore volume dV/dD (cm^3/g/nm) on the y-axis versus pore diameter (nm) on the x-axis. Annotate the dominant pore diameter at the peak maximum. Optionally include a second panel with the full N2 adsorption-desorption isotherm (P/P0 on x-axis, quantity adsorbed on y-axis) with adsorption and desorption branches in different colors. Add axis labels with units, BET surface area and total pore volume as an annotation, and a descriptive title."

How to create this chart in 30 seconds

1

Upload Data

Drag & drop your Excel or CSV file. Plotivy securely processes it in your browser.

2

AI Generation

Our AI analyzes your data and generates the Pore Size Distribution code automatically.

3

Customize & Export

Tweak the design with natural language, then export as high-res PNG, SVG or PDF.

Python Code Example

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Console Output

Output
Figure saved: plotivy-pore-size-distribution.png

Common Use Cases

  • 1Characterizing mesoporous silica (SBA-15, MCM-41) for drug delivery and catalysis
  • 2Evaluating activated carbon pore networks for CO2 capture and gas storage
  • 3Assessing MOF porosity and comparing experimental versus theoretical surface areas
  • 4Optimizing synthesis conditions for controlled pore size in templated materials

Pro Tips

Plot both adsorption and desorption branches of the isotherm with distinct markers

Use a logarithmic pore diameter axis to resolve both micro- and mesopore features

Annotate the BET surface area, total pore volume, and average pore diameter as a text box

Overlay multiple samples in the same PSD plot with distinct colors for direct comparison

Free Cheat Sheet

Scientific Chart Selection Cheat Sheet

Not sure whether to use a Violin Plot, Box Plot, or Ridge Plot? Download our single-page reference mapping the most-used scientific chart types, exactly when to use them, and the core Matplotlib/Seaborn functions.

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