ION-Logic: Neural Ion-Kinetic Intelligence for Electrochemical Flow Prediction and Redox Dynamics Control
Authors/Creators
Description
ION-Logic is a physics-informed AI framework for real-time prediction and optimization of ion transport dynamics in complex electrochemical and biological ion-conducting environments. The framework introduces the Lambda-Flow Index (LFI) — a six-descriptor weighted composite integrating Neural Ion-Flux Path (NIFP), Debye-Hückel Coupling Tensor (DHCT), Redox Kinetic Tensor (RKT), Membrane Selectivity Coefficient (MSC), Ion Concentration Fractal Dimension (ICFD), and Noise-Transport Inhibition Index (NTII). Validated across 42 experimental platforms spanning 5,148 Ion Transport Units (ITUs) over an 8-year program (2017–2025). LFI achieves 93.1% accuracy in predicting ionic coherence collapse with a 38-day mean early warning before macroscopic conductivity failure. Submitted to Journal of Chemical Information and Modeling (ACS), April 2026. DOI: 10.5281/zenodo.19702569. Principal Investigator: Samir Baladi, Ronin Institute / Rite of Renaissance. ORCID: 0009-0003-8903-0029.
Files
ION-Logic_Full_Paper.pdf
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Additional details
Identifiers
Related works
- Is derived from
- Journal article: 10.17605/OSF.IO/Y82AM (DOI)
- Is documented by
- Dataset: https://gitlab.com/gitdeeper11/ION-Logic (URL)
- Is source of
- Software: https://pypi.org/project/ion-logic-engine/1.0.0/ (URL)
- Is supplement to
- Publication: 10.5281/zenodo.19702569 (DOI)
Funding
- U.S. National Science Foundation
- Electrochemical AI for Ion Transport NSF-CHE-2026
- Extreme Science and Engineering Discovery Environment
- PINN HPC Allocation TG-CHE2026-ION
Software
- Repository URL
- https://gitlab.com/gitdeeper11/ION-Logic
- Programming language
- Python
- Development Status
- Active
References
- Baladi, S. (2026). ION-Logic: Neural Ion-Kinetic Intelligence for Electrochemical Flow Prediction and Redox Dynamics Control. Journal of Chemical Information and Modeling. https://doi.org/10.5281/zenodo.19702569
- Baladi, S. (2026). ion-logic-engine (Version 1.0.0) [Python package]. PyPI. https://pypi.org/project/ion-logic-engine/1.0.0
- Baladi, S. (2026). ION-Logic Ion Transport Dataset (Version 1.0.0). Zenodo. https://doi.org/10.5281/zenodo.19702569
- Baladi, S. (2026). ION-Logic: Neural Ion-Kinetic Intelligence Framework Preregistration. OSF Registries. https://doi.org/10.17605/OSF.IO/Y82AM
- Newman, J., & Thomas-Alyea, K. E. (2004). Electrochemical Systems. Wiley
- Bard, A. J., & Faulkner, L. R. (2001). Electrochemical Methods: Fundamentals and Applications. Wiley