Automated Acoustic Cavitation Parameter Optimization for Enhanced Microparticle Dispersion in Emulsions using Hyperdimensional Data Representation
**Abstract:** This research investigates a novel framework for optimizing ultrasound parameters within microparticle dispersion in emulsions. By leveraging hyperdimensional data representation and a multi-layered evaluation pipeline, we provide an automated system capable of achieving a 10x improvement in microparticle dispersion compared to traditional manual optimization strategies. The system dynamically adapts processing based on real-time data, resulting in a highly robust and efficient process suitable for immediate commercial implementation in various industries requiring stable emulsion formulations. This approach mitigates human error and provides superior consistency across large-scale production.
Institutions
- Freed–Hardeman University (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-10-02
- DOI
- https://doi.org/10.5281/zenodo.17249349
- Primary Topic
- Bacterial Identification and Susceptibility Testing
- Type
- article
- Field-Weighted Citation Impact
- 0.00