Several strategies can be employed to mitigate uncertainties:
1. High-Quality Data: Ensure the use of precise and accurate experimental data. 2. Robust Models: Develop models that are less sensitive to parameter variations. 3. Validation and Verification: Regularly validate and verify models against experimental results. 4. Adaptive Methods: Employ adaptive computational methods that can update based on new data.
