On physical analysis of topological indices and entropy measures for porphyrazine structure using logarithmic regression model
Asma Khalid, Shoaib Iqbal, Muhammad Kamran Siddiqui, Tariq Javed Zia, Brima Gegbe · 2024
Read On physical analysis of topological indices and entropy measures for porphyrazine structure using logarithmic regression model by Asma Khalid, Shoaib Iqbal, Muhammad Kamran Siddiqui, Tariq Javed Zia, Brima Gegbe (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11576923.txt.
Description
Asma Khalid and co-authors offer a 2024 math study of porphyrazine, a ring-shaped molecule prized for stability. Such rings interest drug and materials designers. Number-based fingerprints of its bonding pattern can predict how it acts.
New index formulas captured how atoms connect across the structure. An entropy measure built on those indices gauged disorder and stability. Logarithmic regression tied the indices to the entropy values. Strong links would let chemists estimate traits from structure alone. The work adds a compact tool that predicts traits for a compound family with wide promise.
Catalog record
| CREATOR | Asma Khalid, Shoaib Iqbal, Muhammad Kamran Siddiqui, Tariq Javed Zia, Brima Gegbe |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 299 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |