COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |
University of Cambridge > Talks.cam > Mineral Sciences Seminars > Electronic transport and the origin of Urbach tails in amorphous silicon
Electronic transport and the origin of Urbach tails in amorphous siliconAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Ian Farnan. Electronic transport and the origin of Urbach tails in amorphous silicon D. A. Drabold, Ohio University Recently, we have studied the structure of the electron states in large and realistic models of a-Si. We have explored the nature of the electronic localized-delocalized (Anderson) transition by direct calculation, and have found that important aspects of this transition are universal1 (similar in different materials, and even different physical quantities, such as classical vibrations). The valence (conduction) band tail states are shown to derive from short (long) bonds. What is more, we find that one-dimensional filamentary structures (connected short bonds and connected long bonds) exist in good quality relaxed network models, and these filaments are responsible for the observed exponential (Urbach) edges observed in the material2. We also briefly report on transport calculations using the Kubo formula and a simple thermal averaging procedure, and show that the temperature dependence of the electrical conductivity and the Meyer-Neldel relation can be obtained from ab initio simulations on suitable structural models of the material3. 1 J. J. Ludlam, S. N. Taraskin, S. R. Elliott and D. A. Drabold, Universal features of eigenstates in disordered systems , J. Phys. Cond. Matter 17 L321 (2005). 2 Y. Pan, F. Inam, M. Zhang and D. A. Drabold, Atomistic origin of Urbach tails in amorphous silicon, Phys. Rev. Lett. 100 206403 (2008). 3 T. A. Abtew, M. Zhang and D. A. Drabold, Ab initio estimate of the temperature dependence of electrical conductivity in a model disordered material: a-Si:H Phys. Rev. B 76 045212 (2007). This talk is part of the Mineral Sciences Seminars series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsTCM Blackboard Series History Computer Science Tripos Seminar SeriesOther talksCambridge Rare Disease Summit 2017 Development of machine learning based approaches for identifying new drug targets National crises, viewed in the light of personal crises Migration in Science What quantum computers tell us about physics (even if no one ever builds one!) Transcriptional control of pluripotent stem cell fate by the Nucleosome Remodelling and Deacetylation (NuRD) complex Constructing the virtual fundamental cycle A rose by any other name Throwing light on organocatalysis: new opportunities in enantioselective synthesis Active Machine Learning: From Theory to Practice |