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Computes the electronic structure of various materials in the spatial configuration of bulk (infinitely periodic), quantum wells (confined in one dimension, infinitely periodic in 2 dimensions), and wires (confined in 2 dimensions and infinitely...
- Chapter 5 of Quantum Transport by S. Datta (Cambridge, 2005)
- Different Tight-binding models can give different electron and hole effective masses. This happens since different band models give different curvatures.Always a higher and more sophisticated band model will give better estimation of effective masses. Eg: sp3d5s* TB models give better estimate of effective mass compared to sp3s* TB models.
- bulk effective mass table is not correct for light, and heavy hole bands
- charge self-consistent calculation appears to be unstable for some devices
- nanowire dimensions exceeding 5-6nm in diameter appear to crash the simulations. More work is needed in the tool
- 2.0.1: Bug Fixes :
- Strain sweep now provides correct band edges as well as effective mass values for bulk.
- Transport effective masses for nanowires and UTB devices.
- Self-consistent run for nanowire Gate all around FETs and DGMOS.
- Bulk effective masses for light, and heavy hole bands have been corrected.
- Charge self-consistent simulations are now stable.
- Biaxial strain sweep related error has been removed. Now all the results appear that have completed.(Answer to the biaxial question too.)
- Transport effective masses for nanowires and UTB devices are now available.
- Now 3D EK simulation data available with 3D bulk simulation as data file. (Answer to this question .
- Self-consistent run for 1 gate bias now possible for Gate all around nanowire FETs and DGMOS.
- Parallel execution on 24 cores in an instant-on parallel computing environment where appropriate. Used for nanowires and ultra-thin bodies with not too large cross section.
- Allow other types of crystals and new materials to be simulated to obtain bandstructure.
- Allow other bandstructure calculation like k.p.
Bandstructure Lab is based on the tight binding model of Boykin and Klimeck, and builds on the work of several Ph.D. students and other researchers:
|M. Luisier, A. Paul||... Core C simulator, beginning with Version 2.0|
|A. Paul||... GUI development and OMEN integration of version 2.0|
|M. Luisier, N. Neophytou, Y. Liu||... Core Matlab simulator, prior to Version 2.0|
|A. Matsudaira, M. McLennan||... GUI development of version 1.0|
|R. Kim||... Led the integration effort of Version 1.0|
|J. Wang, N. Neophytou||... Nanowire simulation theory|
|A. Rahman||... Bulk and thin-film simulation theory|
NCN@Purdue, MSD FCRP, SRC
Cite this work
Researchers should cite this work as follows:
- For the tight-binding methodology: Gerhard Klimeck, Fabiano Oyafuso, Timothy B. Boykin, R. Chris Bowen, and Paul von Allmen, "Development of a Nanoelectronic 3-D (NEMO 3-D) Simulator for Multimillion Atom Simulations and Its Application to Alloyed Quantum Dots" (INVITED), Computer Modeling in Engineering and Science (CMES) Volume 3, No. 5 pp 601-642 (2002).
- For nanowire model and results: Jing Wang, Anisur Rahman, Gerhard Klimeck and Mark Lundstrom, "Bandstructure and Orientation Effects in Ballistic Si and Ge Nanowire FETs", IEEE International Electron Devices Meeting (IEDM) Tech. Digest, pp. 537-540, Washington D. C., Dec. 5-7, 2005.