Anomalous Transport in Complex Systems


Sağlam U.

Hradec Králové International Physics Days 2022, Hradec-Kralove, Çek Cumhuriyeti, 19 - 22 Aralık 2022, ss.65

  • Yayın Türü: Bildiri / Özet Bildiri
  • Basıldığı Şehir: Hradec-Kralove
  • Basıldığı Ülke: Çek Cumhuriyeti
  • Sayfa Sayıları: ss.65
  • İstanbul Üniversitesi Adresli: Evet

Özet

Transport dynamics in complex or disordered media namely anomalous transport, as in amorphous semiconductors and insulators, is represented and derived through the mathematical instruments of stochastic mechanics and fractional calculus. Anomalous transport can be described through the drift-diffusion equations that are reformulated in the fractional form to indicate anomalous diffusion and fractional drift processes. Random walk in a random environment and continuous-time random walk (CTRW) are analogical stochastic processes that are used to mimic anomalous transport in complex media. Fractional dynamics has also a critical role in modeling anomalous transport in complex media that exhibits non-Markovian (not memoryless) and non-local properties. There are numerous master equations (MEs) such Klein-Kramers (KKE), Fokker-Planck (FPE), Telegraph Equation (TE), Diffusion-Advection (DAE) equations that each express different stochastic processes occurring in anomalous transport phenomena. The analytical solution of the fractional master equations for the corresponding transport problems can be obtained using the Fourier-Laplace (FL) transform that allows changing the space-time domain with the FL domain. The anomalous transport in complex or disordered media that can be defined in amorphous semiconductors and insulators is governed through analytically derived Debye and semi-empirically derived Cole-Cole (CC), Cole Davidson (CD) and Havriliak-Negami (HN) type conductivity equations. The common contemporary motivation is to construct the relationship between the semi-empirical conductivity equations especially HN type and the anomalous transport processes governed by the approaches of fractional and stochastic dynamics.