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140717s2014 sz | s |||| 0|eng d |
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|a 9783319014272
|9 978-3-319-01427-2
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|a 10.1007/978-3-319-01427-2
|2 doi
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|a QA71-90
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|a PBKS
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|a PBKS
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|a 518
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|a Multi-Band Effective Mass Approximations
|h [electronic resource] :
|b Advanced Mathematical Models and Numerical Techniques /
|c edited by Matthias Ehrhardt, Thomas Koprucki.
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250 |
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|a 1st ed. 2014.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2014.
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300 |
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|a XVI, 318 p. 83 illus., 62 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Lecture Notes in Computational Science and Engineering,
|x 2197-7100 ;
|v 94
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|a Introduction -- Part I: Physical Models -- Part II: Numerical Methods -- Part III: Applications -- Part IV: Advanced Mathematical Topics.
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|a This book addresses several mathematical models from the most relevant class of kp-Schrödinger systems. Both mathematical models and state-of-the-art numerical methods for adequately solving the arising systems of differential equations are presented. The operational principle of modern semiconductor nano structures, such as quantum wells, quantum wires or quantum dots, relies on quantum mechanical effects. The goal of numerical simulations using quantum mechanical models in the development of semiconductor nano structures is threefold: First they are needed for a deeper understanding of experimental data and of the operational principle. Secondly, they allow us to predict and optimize in advance the qualitative and quantitative properties of new devices in order to minimize the number of prototypes needed. Semiconductor nano structures are embedded as an active region in semiconductor devices. Thirdly and finally, the results of quantum mechanical simulations of semiconductor nano structures can be used with upscaling methods to deliver parameters needed in semi-classical models for semiconductor devices, such as quantum well lasers. This book covers in detail all these three aspects using a variety of illustrative examples. Readers will gain detailed insights into the status of the multiband effective mass method for semiconductor nano structures. Both users of the kp method as well as advanced researchers who want to advance the kp method further will find helpful information on how to best work with this method and use it as a tool for characterizing the physical properties of semiconductor nano structures. The book is primarily intended for graduate and Ph.D. students in applied mathematics, mathematical physics and theoretical physics, as well as all those working in quantum mechanical research or the semiconductor / opto-electronic industry who are interested in new mathematical aspects.
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650 |
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|a Mathematics-Data processing.
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650 |
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|a Mathematical physics.
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650 |
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|a Quantum physics.
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|a Differential equations.
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|a Computational Mathematics and Numerical Analysis.
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|a Theoretical, Mathematical and Computational Physics.
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|a Mathematical Methods in Physics.
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650 |
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|a Quantum Physics.
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650 |
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|a Differential Equations.
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|a Ehrhardt, Matthias.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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700 |
1 |
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|a Koprucki, Thomas.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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710 |
2 |
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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776 |
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|i Printed edition:
|z 9783319014289
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776 |
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|i Printed edition:
|z 9783319014265
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776 |
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8 |
|i Printed edition:
|z 9783319348827
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830 |
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|a Lecture Notes in Computational Science and Engineering,
|x 2197-7100 ;
|v 94
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856 |
4 |
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|u https://doi.uam.elogim.com/10.1007/978-3-319-01427-2
|z Texto Completo
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912 |
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|a ZDB-2-SMA
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912 |
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|a ZDB-2-SXMS
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|a Mathematics and Statistics (SpringerNature-11649)
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950 |
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|a Mathematics and Statistics (R0) (SpringerNature-43713)
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