The random matrices theory is applied to a study of the heat capacity of small metallic grains. The numerical calculations indicate that the level distribution and the difference between the particles respectively with an even and an odd numbers of electrons are important for the heat capacity of the small metallic grains at a low temperature and the level correlation mainly affects the heat capacity at a high temperature.
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机译：Findings from B. Verkin Institute of Low Temp Physics Engineering Broaden Understanding of Random Matrices Theory (On Random Matrices Arising In Deep Neural Networks: General Iid Case)
机译：Dissociative adsorption of hydrogen and methane molecules at high-angle grain boundaries of pipeline steel studied by density functional theory modeling
