A new molecular fingerprinting algorithm to aid in the design of acid gas separation MOFs

Abstract

This invention discloses a novel molecular fingerprinting algorithm for assisting in the design of MOFs for acid gas separation, comprising the following steps: S1, using drawing software to draw 17 possible ortho, meta, and para positions of benzene rings, five-membered rings, and six-membered rings, obtaining their .mol ​​files; S2, converting the .mol ​​files to .smart format and writing a separate .py file for the new fingerprint; S3, calling the original fingerprint in the newly written .py file, adding the two results to obtain a new 184-bit fingerprint; S4, using the new fingerprint to test multiple CoRE-MOFs using various machine learning methods. This invention can determine whether the N-bond in a five-membered or six-membered ring of a macromolecule is ortho, meta, or para, which is beneficial for identifying differences in molecular structure between molecules with different performance characteristics, thereby accelerating the screening of high-performance materials, effectively saving time and costs, and shortening the development cycle.

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