The paper presents the binary encoding method for studying the processes in closed domains formed by clusterized structures. Stochasticity of processes observed in the clusters of the ice-water system during the phase transition, does not allow to accurately measure the specific heat of melting of ice-containing liquids. There are no currently techniques verifying the spread of resulting values concerning the enthalpy of melting of ice-containing liquids. Converting data array obtained in a series of experiments to binary string, allows analyzing changes in the enthalpy of melting via a comparison of finite numbers in each series. The obtained list of numbers clearly shows the presence or absence of coincidences between finite numbers of the data arrays. A program developed in the Python programming language is used to implement this method, which is a cross-platform application with the intuitive interface.
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Translated from Izvestiya Vysshikh Uchebnykh Zavedenii, Fizika, No. 3, pp. 154–159, March, 2022.
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Iskenderov, E.G., Dibirov, Y.A. Binary Encoding Method in Studying Melting Enthalpy of Ice and Ice-Containing Liquids. Russ Phys J 65, 560–566 (2022). https://doi.org/10.1007/s11182-022-02668-4
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DOI: https://doi.org/10.1007/s11182-022-02668-4