A GLOBALLY CONVERGENT GUMMEL MAP FOR OPTIMAL DOPANT PROFILING
2009 ◽
Vol 19
(05)
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pp. 769-786
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Keyword(s):
We study a generalized Gummel iteration for the solution of an abstract optimal semiconductor design problem, which covers a wide range of semiconductor models. The algorithm is to exploit the special structure of the KKT system and it can be interpreted as a descent algorithm for an appropriately defined cost functional. This allows for a convergence proof which does not need the assumption of small biasing voltages. The algorithm is explicitly stated for the (quantum) drift diffusion model, the energy transport model and the microscopic Schrödinger–Poisson model.
2019 ◽
Vol 139
(11)
◽
pp. 1248-1253
Keyword(s):
2011 ◽
Vol 144
(1)
◽
pp. 171-197
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2003 ◽
Vol 26
(16)
◽
pp. 1421-1433
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2017 ◽
Vol 46
(6-7)
◽
pp. 459-479
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Keyword(s):
Keyword(s):
2021 ◽
Vol 59
◽
pp. 103261
Keyword(s):
2017 ◽
Vol 15
(3)
◽
pp. 635-663
2013 ◽
Vol 34
(5)
◽
pp. 691-696
Keyword(s):