A web interface for SESAMI analysis

Tired of using an old excel spreadsheet from your co-workers?

On-the-fly, this website performs Brunauer-Emmett-Teller (BET), BET+Excess Sorption Work (ESW), and Machine Learning (ML) analysis to accurately estimate the surface area of nanoporous materials. You can upload your isotherm data in either Comma Separated-Values (CSV) or Adsorption Information File (AIF) file format.

Step 1 (optional): Convert RAW output files from commercial equipment to AIF format using this link.

Step 2: Upload the converted data from Step 1 by clicking "Upload CSV or AIF"

Step 3: Click "Run calculation"

Default gas molecule for the analysis is Nitrogen, i.e. N2.

Calculations assume the input data file contains an isotherm measured at one of the following conditions:
• Nitrogen: T = 77 K
• Argon: T = 87 K
For both cases, p0 = 1e5 Pa. The cross section of nitrogen used in the code is 16.2 Å2 per molecule. The cross section of argon used is 14.2 Å2 per molecule.

If you want to analyze a simulated BET isotherm, download the example CSV file and format your simulation data accordingly. Note the units and the column names in the first row!

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SESAMI 1 plot

Did you receive an empty error message? Try reloading the webpage and trying the calculation again.

Download the example CSV file       Download the example AIF file
Your raw data
Name:
Email:
Institution:
Material type:
Type of gas
Custom adsorbate
Custom adsorbate cross section (Å2)
Custom adsorbate temperature (K)
Custom adsorbate saturation pressure (Pa)
SESAMI 1.0
Scope
R2 cutoff
R2 min
SESAMI 2.0
Include ML prediction?

Note: The Lasso ML model prediction is automatically multiplied by 1.148 if Nitrogen gas is the adsorbate. See the SESAMI 2 paper for more details.

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