BECChem: A Self-Evolving Chemical AI Software for Molecular Intelligence and Predictive Analysis
| dc.contributor.author | Barack Ndenga | |
| dc.date.accessioned | 2025-09-04T10:22:08Z | |
| dc.date.issued | 2025-08-23 | |
| dc.description | BECChem is the first-of-its-kind software that bridges artificial intelligence, computational chemistry, and information theory to simulate molecular behaviors in a dynamic and adaptive environment. The software includes: Data Integration Module: Captures molecular energy, entropy, and information in real-time. Computational Core: Applies novel chemical laws and advanced formulas. Simulation Module: Predicts adaptive and self-evolving molecular behavior. Output Module: Visualizes molecular interactions, energy distributions, and predictive analytics. Potential Applications: Advanced molecular modeling Drug discovery and design Materials science Bioinformatics and cheminformatics | |
| dc.description.abstract | BECChem is an innovative chemical AI platform designed to analyze and optimize complex molecular networks by integrating real-time metrics of energy, entropy, and information. Leveraging novel chemical laws and advanced mathematical formulas, including a “mother formula” for chemical intelligence, BECChem simulates adaptive and self-evolving molecular behaviors. Preliminary results demonstrate non-classical structural configurations in water and other molecules, highlighting emergent properties and “conscious-like” responses at the molecular level. This system provides a groundbreaking framework for predictive molecular analytics, adaptive chemical modeling, and research into molecular consciousness and chemical intelligence. | |
| dc.description.provenance | Submitted by Barack Ndenga (ndengabarack@gmail.com) on 2025-08-23T21:04:15Z workflow start=Step: reviewstep - action:claimaction No. of bitstreams: 2 BECChem .pdf: 3674798 bytes, checksum: 460b21c40816139301ead2efbbdd1725 (MD5) license_rdf: 899 bytes, checksum: 5aba0d8952bdb83a4ca6f97ded663704 (MD5) | en |
| dc.description.provenance | Step: reviewstep - action:reviewaction Approved for entry into archive by Jo Havemann (jo@africarxiv.org) on 2025-09-04T10:22:08Z (GMT) | en |
| dc.description.provenance | Made available in DSpace on 2025-09-04T10:22:08Z (GMT). No. of bitstreams: 2 BECChem .pdf: 3674798 bytes, checksum: 460b21c40816139301ead2efbbdd1725 (MD5) license_rdf: 899 bytes, checksum: 5aba0d8952bdb83a4ca6f97ded663704 (MD5) Previous issue date: 2025-08-23 | en |
| dc.description.sponsorship | None | |
| dc.identifier.uri | https://africarxiv.ubuntunet.net/handle/1/4153 | |
| dc.identifier.uri | https://doi.org/10.60763/africarxiv/3912 | |
| dc.language.iso | en | |
| dc.publisher | Publisher | |
| dc.relation.ispartofseries | 13 | |
| dc.rights | Attribution-NoDerivs 3.0 United States | en |
| dc.rights.uri | http://creativecommons.org/licenses/by-nd/3.0/us/ | |
| dc.title | BECChem: A Self-Evolving Chemical AI Software for Molecular Intelligence and Predictive Analysis | |
| dc.type | Software |
