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]
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 ...
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
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
E. Jonckheere, F. C. Langbein, S. G. Schirmer. Information Transfer Fidelity in Spin Networks and Ring-based Quantum Routers. Quantum Information Processing, 14(12):4761-4785, 2015. [DOI:10.1007/s11128-015-1136-4] [arXiv:1408.3765] [PDF]
Information Transfer Fidelity in Spin Networks and Ring-based Quantum Routers
Z Niu, RR Martin, MA Sabin, FC Langbein, JH Bucklow. Applying Database Optimization Technologies to Feature Recognition in CAD. Computer-Aided Design and Applications 12(3):373-382, 2015.
Applying Database Optimization Technologies to Feature Recognition in CAD
Z.-B. Niu, R. R. Martin, F. C. Langbein, M. A. Sabin. Rapidly Finding CAD Features Using Database Optimisation. Computer Aided Design, 69:35-50, 2015. [DOI:10.1016/j.cad.2015.08.001] [PDF]
Rapidly Finding CAD Features Using Database Optimisation
Sophie Schirmer, Frank Langbein. The ubiquitous problem of learning system parameters for dissipative two-level quantum systems: Fourier analysis versus Bayesian estimation. Phys Rev A, 91:022125, 2015. [DOI:10.1103/PhysRevA.91.022125] [arXiv:1412.4282] [PDF]
The ubiquitous problem of learning system parameters for dissipative two-level ...
S. G. Schirmer, F. C. Langbein. Characterization and Control of Quantum Spin Chains and Rings. In: Proc. 6th Int Symp Communications, Control and Signal Processing (ISCCSP), pp. 615 – 619, May 2014. [DOI:10.1109/ISCCSP.2014.6877950] [arXiv:1403.0226] [PDF]
Characterization and Control of Quantum Spin Chains and Rings
E. Jonckheere, F. C. Langbein, S. Schirmer. Quantum networks: Anti-core of spin chains. Quantum Information Processing. 13(7):1607-1637, 2014. [DOI:10.1007/s11128-014-0755-5] [arXiv:1403.0159] [PDF]
Quantum networks: Anti-core of spin chains
Z. Niu, R. R. Martin, M. A. Sabin, F. C. Langbein, J. H. Bucklow. Applying Database Optimization Technologies to Feature Recognition in CAD. Extended Abstract. International CAD Conference and Exhibition (CAD’14), Hong Kong University of Science and Technology, June 23-26, 2014. [DOI:10.14733/cadconfP.2014.87-89][PDF]
Applying database optimization technologies to feature recognition in CAD
J.A. Quinn, F. C. Langbein, Y.-K. Lai, R. R. Martin. Fast Low-discrepancy Sampling of Parametric Surfaces and Meshes. Proc. Maths of Surfaces XIV (CD ROM), Institute of Mathematics and its Applications, 2013. [DOI:10.13140/RG.2.1.2012.0408] [PDF]