However, this last approach requires glass models to be first generated by other modeling strategies and by itself cannot lead to a systematic screening of the mechanical properties of numerous ZIF glasses. A promising integrated strategy is the development of machine learnt (ML) potentials, that could constitute a new generation of specific and accurate reactive potentials which could generate glasses by melt-quenching. The methods presented in this work to compute their finite temperature mechanical properties could then be carried out with the same ML potentials, using for validation the AIMD reference value determined in this study.