Pore full-scale distribution representation method based on RMSE weighted fusion and spline interpolation
By combining RMSE-weighted fusion of CO2 adsorption, N2 adsorption, and mercury intrusion porosimetry with cubic spline interpolation, the problems of incomplete pore size coverage and large data fusion errors in traditional pore detection methods are solved, and accurate full-scale pore structure characterization of porous materials is achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- XI AN JIAOTONG UNIV
- Filing Date
- 2026-03-25
- Publication Date
- 2026-06-30
AI Technical Summary
Traditional pore detection techniques cannot accurately measure micropores smaller than 2 nm, mercury intrusion porosimetry has low resolution for pores smaller than 50 nm, data fusion has significant errors, and existing techniques directly superimpose data linearly, resulting in large errors in the overlapping area.
The RMSE weighted fusion and spline interpolation method was adopted, combined with CO2 adsorption, N2 adsorption and mercury porosimetry, and the full-scale pore distribution curve of 0.3nm-400μm was generated by weighted average fusion calculation and cubic spline interpolation algorithm.
It achieves full-scale pore size coverage from 0.3nm micropores to 300μm macropores, reduces system bias, improves the consistency and accuracy of data in overlapping pore size segments, and ensures the continuity and reliability of pore distribution curves.
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Figure CN122306653A_ABST