Experimental Data and Verification

In order to be able to assess whether or not and how accurately any computational method and strategy, not only those to be treated here, can be used in a predictive manner there is always the need for the right experimental data. Also needed is an understanding of the possibilities as well as the problems with the experimental approaches generality, applicability, and accuracy. This is especially important whenever there is a need to compile experimental data from several literature sources to verify a prediction of a wider selection of modelled compounds or phenomena. After this small section, we hope the main limitations of the experimental data will be obvious and why the use of many different literature sources for cor-roboration/verification should be avoided - if possible. 

Electrochemical cells are most frequently set up according to (2) to avoid monitoring currents from competing reactions/phenomena, and thus produce ideal systems solely monitoring the sought intrinsic electrolyte stability. For the direct verification of the most simplistic and yet predictive computations of Fox and (1, these types of experimental setups are easy to interpret, often unambiguous, and thus much preferable. 

As we hope is clear, if one remembers the caveat above and understands the limitations, and furthermore care is taken both of the design of the computational approach (strategy, method, and model) and the choice of appropriate experimental data for verification - then prediction of Lox and is indeed a useful possibility for rational electrolyte development. 

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