Physics-informed model for optimal absorbent product selection
A physics-informed model that utilizes porous media mechanics and machine learning to optimize the selection of absorbent products based on individual consumer profiles and product characteristics.
Overview
This solution presents a novel physics-informed model designed to optimize the selection of absorbent products, such as diapers or sanitary products, by leveraging the mechanics of porous media. This model aims to address the inefficiencies in current product selection methods by offering a more personalized and precise approach. By incorporating specific consumer anatomical data, daily activity patterns, and detailed product characteristics, this model promises to enhance the performance and satisfaction of absorbent products for users.
Technical specifications
The core of this technology is its integration of various data sources and advanced modeling techniques:
- Physics-informed surrogate model: Utilizes the principles of fluid mechanics in porous media to predict leakage and absorption efficiency.
- Data integration: Combines individual product absorption measurements, consumer anatomy, and activity patterns with product properties.
- Machine learning algorithms: Bespoke algorithms are employed to analyze and synthesize data, refining the model's predictive capabilities.
- Dimensional analysis: Applies to key physical and chemical properties to ensure accurate and reliable model predictions.
Technology readiness level
This technology is currently at TRL 3, indicating that it has been experimentally proven in a controlled environment. Further validation and development are planned in collaboration with industry experts to move towards higher readiness levels.
About California Institute of Technology
Caltech is a private, STEM-focused research university in Pasadena, notable for its small size, graduate intensity, and tightly integrated academic–research culture. Companies engage through shared user facilities for micro/nanofabrication and advanced instrumentation, prototyping shops, and contract mechanisms managed by experienced corporate‑partnership staff. An affiliated NASA laboratory, the Jet Propulsion Laboratory, and the surrounding Southern California aerospace and deep‑tech cluster provide unique pathways to mission‑driven engineering, rigorous testing, and specialized suppliers. Research here is backed by competitive federal funding from agencies such as NSF, NIH, DOE, NASA, and the Department of Defense. A dedicated technology transfer office streamlines IP protection, licensing, and startup formation, connecting innovators with investors and regional accelerators.
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