Towards Robust Hemolysis Modeling with Uncertainty Quantification: A Universal Approach to Address Experimental Variance
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This repository contains the implementation of Robust Hemolysis Modeling with Uncertainty Quantification: A Universal Approach to Address Experimental Variance. The provided Python script demonstrates the construction of the MCMC (Markov Chain Monte Carlo) method and illustrates how to use MCMC for generating hemolysis distributions. Please note that the actual hemolysis calculations should be performed using your preferred CFD (Computational Fluid Dynamics) software. If there are any questions, please contact: blum@ame.rwth-aachen.de
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Zenodo创建时间：
2024-07-25
