Corrections to Kramers Formula Describing the Decay Rate of a Metastable State / N. E. Aktaev, K. A. Bannova

Уровень набора: (RuTPU)RU\TPU\network\11477, Key Engineering Materials, Scientific JournalОсновной Автор-лицо: Aktaev, N. E., physicist, research engineer of Tomsk Polytechnic University, Candidate of physical and mathematical sciences, 1985-, Nurken ErbolatovichАльтернативный автор-лицо: Bannova, K. A., Economist, Assistant of the Department of Tomsk Polytechnic University, 1987-, Kristina AlekseevnaКоллективный автор (вторичный): Национальный исследовательский Томский политехнический университет (ТПУ), Институт физики высоких технологий (ИФВТ), Лаборатория № 1;Национальный исследовательский Томский политехнический университет (ТПУ), Институт социально-гуманитарных технологий (ИСГТ), Кафедра менеджмента (МЕН)Язык: английский.Серия: Numerical Simulation of Physical and Chemical ProcessesРезюме или реферат: The work investigates the accuracy of the Kramers approximate formula describing the decay rate of a metastable state. The study was performed by comparing the rate obtained through Kramers formula with the quasistationary rate derived by dynamical modeling that was performed by solving the Langevin equation. We have demonstrated that the non-correlation between Kramers rate and dynamical rate reached 15%, while a better correlation was expected. The study allowed us to generate corrections to Kramers formula by accounting for the higher derivatives of the potential. The rate obtained by the corrected formula exhibits the correlation with the dynamic rate of better than 1%..Аудитория: .Тематика: электронный ресурс | труды учёных ТПУ | динамическое моделирование | метастабильные состояния | уравнения Ланжевена | формула Крамерса Ресурсы он-лайн:Щелкните здесь для доступа в онлайн
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The work investigates the accuracy of the Kramers approximate formula describing the decay rate of a metastable state. The study was performed by comparing the rate obtained through Kramers formula with the quasistationary rate derived by dynamical modeling that was performed by solving the Langevin equation. We have demonstrated that the non-correlation between Kramers rate and dynamical rate reached 15%, while a better correlation was expected. The study allowed us to generate corrections to Kramers formula by accounting for the higher derivatives of the potential. The rate obtained by the corrected formula exhibits the correlation with the dynamic rate of better than 1%.

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