<> "The repository administrator has not yet configured an RDF license."^^ . <> . . "Optimum Experimental Design\r\nfor the Identification\r\nof Gaussian Disorder Mobility Parameters\r\nin Charge Transport Models\r\nof Organic Semiconductors"^^ . "This thesis treats optimum experimental design for the parameter estimation problem\r\nof mobility parameters in charge transport models of organic semiconductors. The\r\nmodels consist of the van Roosbroeck system, a quasi-electrochemical potential\r\ndefining equation, and the Extended Gaussian Disorder Model and the Extended\r\nCorrelated Disorder Model both describing the mobility. The arising problems are\r\nvery ill-conditioned. The essential points of this work are:\r\n• The robust numerical solution of the model equations w.r.t. varying parameters,\r\ncontrol parameters, boundary values and initial guesses for iterative methods.\r\n• The computation of exact derivatives up to order two, which are necessary for\r\nthe optimum experimental design problem. This includes derivatives of the\r\nmodel functions and implicitly given derivatives of the solution.\r\nThe Scharfetter-Gummel scheme is applied to the spatial discretization in one dimension,\r\nwhereas in two dimensions bilinear finite elements are used. The numerical\r\nsimulation of the discretized equations is done by a hybrid simulation method consisting\r\nof Gummel’s method with a special, problem-adapted stabilization term, a\r\ncontraction based damping strategy, and a full step Newton method in the end for\r\nquadratic convergence near the solution. These strategies are independent of the\r\nspatial discretization and are applied to the simulation of a polymer nano-chain\r\nattached to the cathode. The simulation of the one dimensional problems are used\r\nfor the optimum experimental design. The derivatives are computed with automatic\r\ndifferentiation exactly up to machine precision. Therefor we use software tools for\r\nthe computation of the derivatives of the model functions and solve tangential and\r\nadjoint equations of the problem for the parameters and control parameters. With\r\noptimum experimental design we plan experiments for newest organic materials, like\r\nNRS-PPV and a-NPD. The confidence region of the parameters are reduced by a\r\nfactor of 100 for NRS-PPV."^^ . "2014" . . . . . . . "Christoph Karl Felix"^^ . "Weiler"^^ . "Christoph Karl Felix Weiler"^^ . . . . . . "Optimum Experimental Design\r\nfor the Identification\r\nof Gaussian Disorder Mobility Parameters\r\nin Charge Transport Models\r\nof Organic Semiconductors (PDF)"^^ . . . "weiler_veroeffentlichung.pdf"^^ . . . "Optimum Experimental Design\r\nfor the Identification\r\nof Gaussian Disorder Mobility Parameters\r\nin Charge Transport Models\r\nof Organic Semiconductors (Other)"^^ . . . . . . "lightbox.jpg"^^ . . . "Optimum Experimental Design\r\nfor the Identification\r\nof Gaussian Disorder Mobility Parameters\r\nin Charge Transport Models\r\nof Organic Semiconductors (Other)"^^ . . . . . . "preview.jpg"^^ . . . "Optimum Experimental Design\r\nfor the Identification\r\nof Gaussian Disorder Mobility Parameters\r\nin Charge Transport Models\r\nof Organic Semiconductors (Other)"^^ . . . . . . "medium.jpg"^^ . . . "Optimum Experimental Design\r\nfor the Identification\r\nof Gaussian Disorder Mobility Parameters\r\nin Charge Transport Models\r\nof Organic Semiconductors (Other)"^^ . . . . . . "small.jpg"^^ . . . "Optimum Experimental Design\r\nfor the Identification\r\nof Gaussian Disorder Mobility Parameters\r\nin Charge Transport Models\r\nof Organic Semiconductors (Other)"^^ . . . . . . "indexcodes.txt"^^ . . "HTML Summary of #17055 \n\nOptimum Experimental Design \nfor the Identification \nof Gaussian Disorder Mobility Parameters \nin Charge Transport Models \nof Organic Semiconductors\n\n" . "text/html" . . . "500 Naturwissenschaften und Mathematik"@de . "500 Natural sciences and mathematics"@en . . . "510 Mathematik"@de . "510 Mathematics"@en . . . "530 Physik"@de . "530 Physics"@en . .