Bacterial Cellulose (BC) is a promising biodegradable biopolymer synthesized by bacteria in a low energy consumption process based solely on renewable materials (a sucrose-based culture is required). BC-based composites exhibit excellent mechano-electrical transduction properties. However, there has been no systematic optimization of BC-based composites for the realization of transduction or low-cost electronics on BC. In this study, we propose different modeling paradigms categorized according to their basic principles: first principle white-box, grey-box, and black-box models. These paradigms have different levels of detail, interpretability and explainability, which are crucial for understanding model dynamics. The overall mltiphysics white-box model integrates electrical, mechanical and chemical effects into a unique solution, focusing on the coupling factors between the physics domains. In the case of grey-box models, reduced models are considered, while symbolic regression can be employed as enhanced black box models. The dynamic behavior of the BC model can be validated by data-driven characterization using experimental data.

A Multiphysics Framework for Bacterial Cellulose Sensor Modeling

Sapuppo F.;Di Pasquale G.;Graziani S.;Pollicino A.;Trigona C.;Xibilia M. G.
2024-01-01

Abstract

Bacterial Cellulose (BC) is a promising biodegradable biopolymer synthesized by bacteria in a low energy consumption process based solely on renewable materials (a sucrose-based culture is required). BC-based composites exhibit excellent mechano-electrical transduction properties. However, there has been no systematic optimization of BC-based composites for the realization of transduction or low-cost electronics on BC. In this study, we propose different modeling paradigms categorized according to their basic principles: first principle white-box, grey-box, and black-box models. These paradigms have different levels of detail, interpretability and explainability, which are crucial for understanding model dynamics. The overall mltiphysics white-box model integrates electrical, mechanical and chemical effects into a unique solution, focusing on the coupling factors between the physics domains. In the case of grey-box models, reduced models are considered, while symbolic regression can be employed as enhanced black box models. The dynamic behavior of the BC model can be validated by data-driven characterization using experimental data.
2024
black-box model
characterization
green chemistry
grey-box model
multiphysics
organic electronics
sensors
White-box model
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/660753
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