Yearly archives: 2016

E. Jonckheere, S. G. Schirmer, F.C. Langbein. Jonckheere-Terpstra test for nonclassical error versus log-sensitivity relationship of quantum spin network controllers. Int J Robust and Nonlinear Control, 28(6):2383-2403, 2018. [DOI:10.1002/rnc.4022] [arXiv:1612.02784] [PDF]

Jonckheere-Terpstra Test for Nonclassical Error versus Log-Sensitivity Relationship of Quantum ...

9th December 2016 in Quantum / Quantum Control / Spin Dynamics tagged publication

B. Thorpe, K. Kalna, F.C. Langbein, S.G. Schirmer. Monte Carlo Simulations of Spin Transport in Nanoscale InGaAs Field Effect Transistors. J Applied Physics, 122, 223903, 2017. [DOI:10.1063/1.4994148] [arXiv:1610.04114] [PDF]

Monte Carlo Simulations of Spin Transport in Nanoscale InGaAs Field ...

14th October 2016 in Quantum / Spin Dynamics tagged publication

S. G. Schirmer, E. Jonckheere, F. C. Langbein. Design of Feedback Control Laws for Information Transfer in Spintronics Networks. IEEE Trans Automatic Control, 63(8):2523-2536, 2018. [DOI:10.1109/TAC.2017.2777187] [arXiv:1607.05294] [PDF]

Design of Feedback Control Laws for Information Transfer in Spintronics ...

18th July 2016 in Quantum / Spin Dynamics tagged publication

FC Langbein, S O’Neil, SG Schirmer. Energy landscape controllers for quantum state transfer in spin-1/2 networks with ring topology, Research Directions, Cambridge Open Engage, 2023. [DOI:10.33774/coe-2022-35xgg]

Energy landscape controllers for quantum state transfer in spin-1/2 networks ...

12th July 2016 in Quantum / Spin Dynamics tagged data

N. Rahimi, P. Kerfriden, F. C. Langbein, R.R. Martin. CAD Model simplification error estimation for electrostatics problems. SIAM J. Sci. Comput. 40(1):B196–B227, 2018. [DOI:10.1137/16M1078641] [arXiv:1606.02223] [PDF]

CAD Model Simplification Error Estimation for Electrostatics Problems

5th June 2016 in Design Intent / Features / Geometry tagged publication

Feature Recognition with Database Optimisation — This code is an extension to PostgreSQL for finding CAD features efficiently. Development of this code has been supported by the Marie Curie Initial Training Network INSIST, funded by the 7th EU Framework Programme (FP7) under grant agreement n° 289361.

Efficient Feature Recognizer

23rd January 2016 in Features tagged code

Featured capacitor solution — This code is to estimate the simplification error. It’s an an extension to ngsolve / netgen to estimate the effect of model simplifications on a quantity of interest aimed at electrostatics problems.

SimpErr

7th January 2016 in Features tagged code