Ex Tenebris Scientia • Frank C Langbein

B. Thorpe, K. Kalna, F. C. Langbein, S. G. Schirmer. Spin Recovery in the 25nm Gate Length InGaAs Field Effect Transistor. In: Proc. Int. Workshop on Computational Nanotechnology, pp. 168-169, Windermere, UK, 6-9 June, 2017. [Abstract] [Poster] [WWW]

Spin Recovery in the 25nm Gate Length InGaAs Field Effect ...

E. A. Jonckheere, S. G. Schirmer, F.C. Langbein. Structured Singular Value Analysis for Spintronics network Information Transfer Control. IEEE Trans Automatic Control, technical note, accepted 2017. [DOI:10.1109/TAC.2017.2714623][arxiv:1706.03247][PDF]

Structured Singular Value Analysis for Spintronics Network Information Transfer Control Recently updated!

E. Jonckheere, S. G. Schirmer, F.C. Langbein. Jonckheere-Terpstra test for nonclassical error versus log-sensitivity relationship of quantum spin network controllers. Submitted 2016. [arXiv:1612.02784] [PDF]

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

B. Thorpe, K. Kalna, F.C. Langbein, S.G. Schirmer. Monte Carlo Simulations of Spin Transport in Nanoscale InGaAs Field Effect Transistors. Submitted 2016. [arXiv:1610.04114] [PDF]

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

S. G. Schirmer, E. Jonckheere, F. C. Langbein. Design of Feedback Control Laws for Information Transfer in Spintronics Networks. Submitted 2016. [arXiv:1607.05294] [PDF]

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

Frank C Langbein, Sophie G Schirmer, Edmond Jonckheere. Static Bias Controllers for XX Spin-1/2 Rings. Data set, figshare, 3rd July 2016. [DOI:10.6084/m9.figshare.3485240.v1] [ZIP]

Static Bias Controllers for XX Spin-1/2 Rings

N. Rahimi, P. Kerfriden, F. C. Langbein, R.R. Martin. CAD Model simplification error estimation for electrostatics problems. Submitted 2016. [PDF] [arXiv:1606.02223]

CAD Model Simplification Error Estimation for Electrostatics Problems

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

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

Spintronics network, 13-ring, control for 1 to 5 transition — FC Langbein, SG Schirmer, E Jonckheere. Time optimal information transfer in spintronics networks. IEEE 54th Ann. Conf. Decision and Control (CDC), pp. 6454-6459, 2015.

Time optimal information transfer in spintronics networks

Page 1 of 1512 3 4 5...10...»Last »