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Yes, parameterisation is incredibly important. The classic recent example from academia that heavily features in PyBaMM is Chen2020 which is a very thorough case study of collecting data. https://iopscience.iop.org/article/10.1149/1945-7111/ab9050 There has also been a subsequent review article on the subject https://iopscience.iop.org/article/10.1088/2516-1083/ac692c/.... If you are looking for a more hands on guide then there are also open-source tools for parameterizing models https://github.com/pybop-team/PyBOP and https://github.com/paramm-team/pybamm-param



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