skip to main content

Title: Predicting the Electronic Properties of 3D, Million-atom Semiconductor nanostructure Architectures

This final report describes the work done by Jack Dongarra (University Distinguished Professor) and Stanimire Tomov (Research Scientist) related to the DOE project entitled Predicting the Electronic Properties of 3D, Million-Atom Semiconductor Nanostructure Architectures. In this project we addressed the mathematical methodology required to calculate the electronic and transport properties of large nanostructures with comparable accuracy and reliability to that of current ab initio methods. This capability is critical for further developing the field, yet it is missing in all the existing computational methods. Additionally, quantitative comparisons with experiments are often needed for a qualitative understanding of the physics, and for guiding the design of new nanostructures. We focused on the mathematical challenges of the project, in particular on solvers and preconditioners for large scale eigenvalue problems that occur in the computation of electronic states of large nanosystems. Usually, the states of interest lie in the interior of the spectrum and their computation poses great difficulties for existing algorithms. The electronic properties of a semiconductor nanostructure architecture can be predicted/determined by computing its band structure. Of particular importance are the 'band edge states' (electronic states near the energy gap) which can be computed from a properly defined interior eigenvalue problem.more » Our primary mathematics and computational challenge here has been to develop an efficient solution methodology for finding these interior states for very large systems. Our work has produced excellent results in terms of developing both new and extending current state-of-the-art techniques.« less
Authors:
;
Publication Date:
OSTI Identifier:
1036499
Report Number(s):
DOE/ER25584-5
TRN: US201208%%869
DOE Contract Number:
FG02-03ER25584
Resource Type:
Technical Report
Research Org:
University of Tennessee
Sponsoring Org:
USDOE Office of Science (SC); USDOE SC Office of Advanced Scientific Computing Research (SC-21); USDOE SC Office of Basic Energy Sciences (SC-22)
Country of Publication:
United States
Language:
English
Subject:
77 NANOSCIENCE AND NANOTECHNOLOGY; ACCURACY; ALGORITHMS; ARCHITECTURE; DESIGN; EIGENVALUES; ENERGY GAP; NANOSTRUCTURES; PHYSICS; RELIABILITY; TRANSPORT computational nano-technology; electronic structure; preconditioned conjugate gradients; bulk band; quantum dots; parallel eigenvalue solvers; block method