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]
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]
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.
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.
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.
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]
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.
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]
F. C. Langbein. Optimal Control of Chemical Reactions with Data-Driven Models. Presentation at the Closed Loop Optimisation of Synthesis meeting at GSK, 16 April 2015, Stevenage, United Kingdom. [PDF]
January 2015 - December 2017: Data-Driven Simulation of Quantum Spin Network Devices. PI: F. C. Langbein with S. G. Schirmer, K. Kalna, A. Martinez, D. Burgarth.