Bayesian Two-Process Weibull Modelling of PCL-Blend-PEG Coating Degradation in Simulated Body Fluid: Composition-Held-Out Validation, Identifiability Limits and Exploratory Electrochemical Correlation.

Stoica VC, Visan AI

Open source

DOI
10.3390/polym18182237
Published
2026 Sep 14
Container
Polymers
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.3390/polym18182237,
  title = {Bayesian Two-Process Weibull Modelling of PCL-Blend-PEG Coating Degradation in Simulated Body Fluid: Composition-Held-Out Validation, Identifiability Limits and Exploratory Electrochemical Correlation.},
  author = {Stoica VC and Visan AI},
  year = {2026},
  journal = {Polymers},
  doi = {10.3390/polym18182237},
  url = {https://doi.org/10.3390/polym18182237}
}

RIS

TY  - JOUR
TI  - Bayesian Two-Process Weibull Modelling of PCL-Blend-PEG Coating Degradation in Simulated Body Fluid: Composition-Held-Out Validation, Identifiability Limits and Exploratory Electrochemical Correlation.
AU  - Stoica VC
AU  - Visan AI
PY  - 2026
JO  - Polymers
DO  - 10.3390/polym18182237
UR  - https://doi.org/10.3390/polym18182237
ER  - 

APA

VC, S., & AI, V. (2026). Bayesian Two-Process Weibull Modelling of PCL-Blend-PEG Coating Degradation in Simulated Body Fluid: Composition-Held-Out Validation, Identifiability Limits and Exploratory Electrochemical Correlation.. Polymers. https://doi.org/10.3390/polym18182237

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