Publications 2014

  1. A

    1. S. Alvarez Barcia, J. R. Flores, and J. Kästner, “Tunneling Above the Crossover Temperature,” J. Phys. Chem. A, vol. 118, p. 78, 2014, doi: 10.1021/jp411189m.
    2. V. Andrikopoulos, S. Gómez Saez, D. Karastoyanova, and A. Weiß, “Collaborative, Dynamic & Complex Systems: Modeling, Provision & Execution,” Proceedings of the Fourth International Conference on Cloud Computing and Service Science, pp. 276--286, 2014, doi: 10.5220/0004852402760286.

  2. B

    1. K. Baber, B. Flemisch, and R. Helmig, “Modelling drop dynamics at the interface between free and porous-medium flow using the mortar method,” International Journal of Heat and Mass Transfer, 2014, [Online]. Available: http://www.hydrosys.uni-stuttgart.de/institut/hydrosys/publikationen/paper/2014/SimTech_Preprint_Baber2014.pdf
    2. P. Bader, S. Schneegass, N. Henze, V. Schwind, and K. Wolf, “A mobile see-through 3D display with front- and back-touch,” Proceedings of the 8th Nordic Conference on Human-Computer Interaction: Fun, Fast, Foundational, 2014, doi: 10.1145/2639189.2670276.
    3. A. Barth and F. E. Benth, “The forward dynamics in energy markets - infinite-dimensional modelling and simulation,” Stochastics, vol. 86, no. 6, Art. no. 6, 2014, doi: 10.1080/17442508.2014.895359.
    4. A. Barth and S. Moreno-Bromberg, “Optimal risk and liquidity management with costly refinancing opportunities,” Insurance Math. Econom., vol. 57, pp. 31--45, 2014, doi: 10.1016/j.insmatheco.2014.05.001.
    5. F. Bayer and F. Allgöwer, “Robust Economic Model Predictive Control with Linear Average Constraints,” Proceedings of the 52nd IEEE Conference on Decision and Control, pp. 6707--6712, 2014, doi: 10.1109/CDC.2014.7040442.
    6. F. Bayer, M. A. Müller, and F. Allgöwer, “Set-based Disturbance Attenuation in Economic Model Predictive Control,” 19th IFAC World Congress, pp. 1898--1903, 2014, doi: 10.3182/20140824-6-ZA-1003.00951.
    7. F. Bayer, M. A. Müller, and F. Allgöwer, “Tube-based Robust Economic Model Predictive Control,” Journal of Process Control, vol. 24, no. 8, Art. no. 8, 2014, doi: 10.1016/j.jprocont.2014.06.006.
    8. A. Beck et al., “High-order discontinuous Galerkin spectral element methods for transitional and turbulent flow simulations,” International Journal of Numerical Methods in Fluids, vol. 76, pp. 522--548, 2014, doi: 10.1002/fld.3943.
    9. SP. Benson and J. Pleiss, “Solvent flux method (SFM): a case study of water access to Candida antarctica lipase B,” J Chem Theory Comput, vol. 11, pp. 5206--5214, 2014, doi: 10.1021/ct500791e.
    10. SP. Benson and J. Pleiss, “Molecular dynamics simulations of self-emulsifying drug delivery systems (SEDDS): influence of excipients on droplet nanostructure and drug localization,” Langmuir, vol. 30, pp. 8471--8480, 2014, doi: 10.1021/la501143z.
    11. A. Benzing, B. Koldehofe, and K. Rothermel, “Bandwidth-Minimized Distribution of Measurements in Global Sensor Networks,” Proceedings of the 14th IFIP International Conference on Distributed Applications and Interoperable Systems (DAIS 2014), 2014, doi: 10.1007/978-3-662-43352-2_13.
    12. F. Berg, F. Dürr, and K. Rothermel, “Optimal Predictive Code Offloading,” Proceedings of the 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, 2014, doi: 10.4108/icst.mobiquitous.2014.258023.
    13. F. Berg, F. Dürr, and K. Rothermel, “Increasing the Efficiency and Responsiveness of Mobile Applications with Preemptable Code Offloading,” Proceedings of the 3rd IEEE International Conference on Mobile Services: MS14, 2014, doi: 10.1109/MobServ.2014.20.
    14. S. Bidier and W. Ehlers, “Localisation in granular media: Particle approach, homogenisation and continuum modelling,” Proceedings in Applied Mathematics and Mechanics, vol. 14, pp. 575--576, 2014, doi: 10.1002/pamm.201410275.
    15. T. Blaschek, K. Vukojevic-Haupt, D. Weber, D. Karastoyanova, and T. Ertl, “Towards Automated Analysis of Eye Tracking Studies using the Workflow Technology,” Proceedings of the Workshop on Simulation Technology: Systems for Data Intensive Simulations (INFORMATIK 2014), 2014, [Online]. Available: http://subs.emis.de/LNI/Proceedings/Proceedings232/149.pdf
    16. C. Bleiler et al., “Multiphasic Modelling of the Vertebral Bone for Cement-Injection Studies,” Proceedings in Applied Mathematics and Mechanics, vol. 14, pp. 117--118, 2014, doi: 10.1002/pamm.201410046.
    17. M. Boger, F. Jaegele, R. Klein, and C.-D. Munz, “Coupling of compressible and incompressible flow regions using the multiple pressure variables approach,” Mathematical Methods in the Applied Sciences, 2014, doi: 10.1002/mma.3081.
    18. M. Boger, F. Jaegele, B. Weigand, and C.-D. Munz, “A pressure-based treatment for the direct numerical simulation of compressible multi-phase flow using multiple pressure variables,” Computers & Fluids, vol. 96, pp. 338--349, 2014, doi: 10.1016/j.compfluid.2014.01.029.
    19. M. U. Bohner, J. Zeman, J. Smiatek, A. Arnold, and J. Kästner, “Nudged-elastic band used to find reaction coordinates based on the free energy,” The Journal of Chemical Physics, vol. 140, no. 7, Art. no. 7, 2014, doi: 10.1063/1.4865220.
    20. C. Braun, S. Halder, and H.-J. Wunderlich, “A-ABFT: Autonomous Algorithm-Based Fault Tolerance for Matrix Multiplications on Graphics Processing Units,” Proceedings of The 44th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2014), pp. 443--454, 2014, doi: 10.1109/DSN.2014.48.
    21. K. Breitsprecher, P. Kosovan, and C. Holm, “Coarse-grained simulations of an ionic liquid-based capacitor: II. Asymmetry in ion shape and charge localization,” Journal of Physics: Condensed Matter, vol. 26, no. 28, Art. no. 28, 2014, doi: 10.1088/0953-8984/26/28/284114.
    22. F. D. Brunner and F. Allgöwer, “Approximate Predictive Control of Polytopic Systems,” Proceedings of the 19th IFAC World Congress, pp. 11060--11066, 2014, doi: 10.3182/20140824-6-ZA-1003.00546.
    23. F. D. Brunner, W. P. M. H. Heemels, and F. Allgöwer, “Robust Self-Triggered MPC for Constrained Linear Systems.,” Proceedings of the European Control Conference (2014), pp. 472--477, 2014, doi: 10.1109/ECC.2014.6862397.
    24. F. D. Brunner, M. Lazar, and F. Allgöwer, “Computation of Piecewise Affine Terminal Cost Functions for Model Predictive Control,” Proceedings of the 17th international conference on Hybrid systems: computation and control, pp. 1--10, 2014, doi: 10.1145/2562059.2562108.
    25. M. Burkhardt, R. Seifried, and P. Eber, “Aspects of Symbolic Formulations in Flexible Multibody Systems,” Journal of Computational and Nonlinear Dynamics, vol. 9, no. 4, Art. no. 4, 2014, doi: 10.1115/1.4025897.
    26. O. Burkovska, B. Haasdonk, J. Salomon, and B. Wohlmuth, “Reduced basis methods for pricing options with the Black-Scholes and Heston model,” SIAM Journal on Financial Mathematics (SIFIN), 2014, doi: 10.1137/140981216.
    27. M. Bürger, G. Notarstefano, and F. Allgöwer, “A Polyhedral Approximation Framework for Convex and Robust Distributed Optimization.,” IEEE Transactions on Automatic Control, vol. 59, no. 2, Art. no. 2, 2014, doi: 10.1109/TAC.2013.2281883.

  3. C

    1. K. Carlberg, L. Brencher, B. Haasdonk, and A. Barth, “Data-driven time parallelism via forecasting,” SIAM Journal on Scientific Computing, vol. 41, no. 3, Art. no. 3, 2019, doi: 10.1137/18M1174362.
    2. C. Chalons, P. Engel, and C. Rohde, “A Conservative and Convergent Scheme for Undercompressive Shock Waves,” SIAM J. Numer. Anal., vol. 52, pp. 554--579, 2014, doi: 10.1137/120897821.
    3. A. M. Cooper and J. Kästner, “Averaging techniques for reaction barriers in QM/MM simulations,” ChemPhysChem, vol. 15, p. 3264, 2014, doi: 10.1002/cphc.201402382.

  4. D

    1. C. Dibak and B. Koldehofe, “Towards Quality-aware Simulations on Mobile Devices,” Proceedings of the 44. Jahrestagung der Gesellschaft für Informatik e.V. (GI) (Informatik 2014), 2014, [Online]. Available: ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2014-54/INPROC-2014-54.pdf

  5. E

    1. P. Eberhard et al., “Particles-bridging the Gap between Solids and Fluids,” Procedia IUTAM, vol. 10, pp. 161--179, 2014, doi: 10.1016/j.piutam.2014.01.016.
    2. W. Ehlers, “Porous Media in the Light of History,” The History of Theoretical, Material and Computational Mechanics, pp. 211--227, 2014, doi: 10.1007/978-3-642-39905-3_13.
    3. W. Ehlers, R. Helmig, and C. Rohde, “Editorial: Deformation and transport phenomena in porous media,” ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, vol. 94, p. 559, 2014, doi: 10.1002/zamm.201400559.
    4. W. Ehlers, M. Schenke, and B. Markert, “Liquefaction phenomena in fluid-saturated soil based on the Theory of Porous Media and the framework of elasto-plasticity,” Journal of Applied Mathematics and Mechanics, vol. 94, pp. 668--677, 2014, doi: 10.1002/zamm.201200220.
    5. A. Elsheikh, S. Oladyshkin, W. Nowak, and M. Christie, “Probability of CO2 Leakage Using Rare Event Simulation,” ECMOR XIV-14th, vol. We, p. B25, 2014, doi: 10.3997/2214-4609.20141876.
    6. P. Engel, A. Viorel, and C. Rohde, “A Low-Order Approximation for Viscous-Capillary Phase Transition Dynamics,” Portugaliae Mathematica, vol. 70, pp. 319--344, 2014, doi: 10.4171/PM/1937.
    7. R. Enzenhöfer, T. Bunk, and W. Nowak, “Nine steps to risk-informed wellhead protection and management: A case study,” Ground Water, vol. 52, pp. 161--174, 2014, doi: 10.1111/gwat.12161.

  6. F

    1. C. Feller and C. Ebenbauer, “Continuous-time linear MPC algorithms based on relaxed logarithmic barrier functions,” IFAC Proceedings Volumes, vol. 47, no. 3, Art. no. 3, 2014, doi: 10.3182/20140824-6-ZA-1003.01022.
    2. C. Feller and C. Ebenbauer, “Barrier function based linear model predictive control with polytopic terminal sets,” Conference on Decision and Control, pp. 6683--6688, 2014, [Online]. Available: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7040438&tag=1
    3. O. Fernandes, S. Frey, F. Sadlo, and T. Ertl, “Space-Time Volumetric Depth Images for In-Situ Visualization,” Large Data Analysis and Visualization (LDAV), 2014 IEEE 4th Symposium on, pp. 59--65, 2014, doi: 10.1109/LDAV.2014.7013205.
    4. A. Fischer and P. Eberhard, “Controlling vibrations of a cutting process using predictive control,” Computational Mechanics, vol. 54, no. 1, Art. no. 1, 2014, doi: 10.1007/s00466-014-1014-4.
    5. S. Frey, F. Sadlo, K.-L. Ma, and T. Ertl, “Interactive Progressive Visualization with Space-Time Error Control,” IEEE Transactions on Visualization & Computer Graphics, 2014, doi: 10.1109/TVCG.2014.2346319.
    6. J. Fuhrmann, M. Ohlberger, and C. Rohde (Eds, “Finite Volumes for Complex Applications VII-Elliptic, Parabolic and Hyperbolic Problems,” FVCA 7, vol. 77/78, 2014, doi: 10.1007/978-3-319-05591-6.
    7. M. Funk, R. Boldt, B. Pfleging, M. Pfeiffer, N. Henze, and A. Schmidt, Representing indoor location of objects on wearable computers with head-mounted displays. 2014. doi: 10.1145/2582051.2582069.
    8. M. Funk, A. Sahami Shirazi, N. Henze, and A. Schmidt, Using a touch-sensitive wristband for text entry on smart watches. 2014. doi: 10.1145/2559206.2581143.

  7. G

    1. M. Greis, F. Alt, N. Henze, and N. Memarovic, “I can wait a minute: uncovering the optimal delay time for pre-moderated user-generated content on public displays,” Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2014, doi: 10.1145/2556288.2557186.
    2. L. Grüne et al., “Distributed and Networked Model Predictive Control,” Control Theory of Digitally Networked Dynamic Systems, pp. 111--167, 2014, doi: 10.1007/978-3-319-01131-8_4.

  8. H

    1. M. Hahn, S. Gómez Su00e1ez, V. Andrikopoulos, D. Karastoyanova, and F. Leymann, “SCE^MT: A Multi-tenant Service Composition Engine,” Proceedings of the 7th International Conference on Service-Oriented Computing and Applications (SOCA), pp. 89--96, 2014, doi: 10.1109/SOCA.2014.9.
    2. M. Hahn, S. Gómez Su00e1ez, V. Andrikopoulos, D. Karastoyanova, and F. Leymann, “Development and Evaluation of a Multi-tenant Service Middleware PaaS Solution,” Proceedings of the 7th International Conference on Utility and Cloud Computing (UCC), pp. 278--287, 2014, doi: 10.1109/UCC.2014.37.
    3. M. Hahn and D. Karastoyanova, “Configurable and Collaborative Scientific Workflows,” Workshop on Simulation Technology: Systems for Data Intensive Simulations (SimTech(at)GI) in Conjunction with INFORMATIK 2014, pp. 125--136, 2014, [Online]. Available: https://www.gi.de/fileadmin/redaktion/2014_LNI/lni-p-232.pdf
    4. N. Hansen, F. Heller, N. Schmid, and W. F. van Gunsteren, “Time-averaged order parameter restraints in molecular dynamics simulations,” Journal of Biomolecular NMR, vol. 60, pp. 169--187, 2014, doi: 10.1007/s10858-014-9866-7.
    5. H. Harbrecht, W. L. Wendland, and N. Zorii, “Riesz minimal energy problems on $C^k-1,1$-manifolds,” Mathematische Nachrichten, vol. 287, pp. 48--69, 2014, doi: 10.1002/mana.201200053.
    6. F. Haupt, M. Fischer, D. Karastoyanova, F. Leymann, and K. Vukojevic-Haupt, “Service Composition for REST,” Proceedings of the 18th IEEE International EDOC Conference (EDOC 2014), 2014, doi: 10.1109/EDOC.2014.24.
    7. M. Heene, C. Kowitz, and D. Pflüger, “Load Balancing for Massively Parallel Computations with the Sparse Grid Combination Technique,” Advances in Parallel Computing, vol. 25, pp. 574--583, 2014, doi: 10.3233/978-1-61499-381-0-574.
    8. Y. Heider, O. Avci, B. Markert, and W. Ehlers, “The dynamic response of fluid-saturated porous materials with application to seismically induced soil liquefaction,” Soil Dynamics and Earthquake Engineering, vol. 63, pp. 120--137, 2014, doi: 10.1016/j.soildyn.2014.03.017.
    9. T. Heidlauf and O. Röhrle, “A multiscale chemo-electro-mechanical skeletal muscle model to analyze muscle contraction and force generation for different muscle fiber arrangements,” Frontiers in Physiology, vol. 5, no. 498, Art. no. 498, 2014, doi: 10.3389/fphys.2014.00498.
    10. R. Helmig, B. Flemisch, M. Wolff, and B. Faigle, “Efficient modelling of flow and transport in porous media using multi-physics and multi-scale approaches,” in Handbook of Geomathematics, 2nd ed., W. Freeden, Z. Nashed, and T. Sonar, Eds., in Handbook of Geomathematics. , Berlin, Heidelberg: Springer, 2014, pp. 1–43. doi: 10.1007/978-3-642-27793-1_15-3.
    11. O. A. Hickey, C. Holm, and J. Smiatek, “Lattice-Boltzmann simulations of the electrophoretic stretching of polyelectrolytes: The importance of hydrodynamic interactions,” The Journal of Chemical Physics, vol. 140, no. 16, Art. no. 16, 2014, doi: 10.1063/1.4872366.
    12. F. Hindenlang, G. Gassner, and C.-D. Munz, “Improving the accuracy of discontinuous Galerkin schemes at boundary layers,” International Journal of Numerical Methods in Fluids, vol. 75, pp. 385--402, 2014, doi: 10.1002/fld.3898.
    13. M. Hlawatsch, M. Burch, and D. Weiskopf, “Visual Adjacency Lists for Dynamic Graphs,” IEEE Transactions on Visualization and Computer Graphics, vol. 20, no. 11, Art. no. 11, 2014, doi: 10.1109/TVCG.2014.2322594.
    14. M. Hlawatsch, F. Sadlo, H. Jang, and D. Weiskopf, “Pathline Glyphs,” Computer Graphics Forum, vol. 33, no. 2, Art. no. 2, 2014, doi: 10.1111/cgf.12335.
    15. P. Hupp, R. Jacob, M. Heene, D. Pflüger, and M. Hegland, “Global Communication Schemes for the Sparse Grid Combination Technique,” Advances in Parallel Computing, vol. 25, pp. 564--573, 2014, doi: 10.3233/978-1-61499-381-0-564.
    16. K. Häberle and W. Ehlers, “Constitutive relation for the mass transfer during a gas-liquid phase transition in porous media,” Proceedings in Applied Mathematics and Mechanics, vol. 14, pp. 445--446, 2014, doi: 10.1002/pamm.201410210.
    17. D. Häufle, M. Günther, A. Bayer, and S. Schmitt, Hill-type muscle model with serial damping and eccentric force-velocity relation. 2014. doi: 10.1016/j.jbiomech.2014.02.009.
    18. D. Häufle, M. Günther, G. Wunner, and S. Schmitt, Quantifying control effort of biological and technical movements: an information entropy based approach. 2014. doi: 10.1103/PhysRevE.89.012716.

  9. I

    1. G. Inci, A. Arnold, A. Kronenburg, and R. Weeber, “Modeling Nanoparticle Agglomeration using Local Interactions,” Aerosol Science and Technology, vol. 48, p. 842, 2014, doi: 10.1080/02786826.2014.932942.

  10. K

    1. N. Karajan, D. Otto, S. Oladyshkin, and W. Ehlers, “Application of the Polynomial Chaos Expansion to Approximate the Homogenised Response of the Intervertebral Disc,” Biomechanics and Modeling in Mechanobiology, vol. 13, pp. 1065--1080, 2014, doi: 10.1007/s10237-014-0555-y.
    2. G. K. Karch, F. Sadlo, D. Weiskopf, and T. Ertl, “Streamline-Based Concepts for Space-Time Analysis of 2D Time-Dependent Flow,” Proceedings of International Symposium on Flow Visualization (ISFV16), 2014, [Online]. Available: http://www.isfv.org/
    3. M.-A. Keip and K. Bhattacharya, “A phase-field approach for the modeling of nematic liquid crystal elastomers,” PAMM, vol. 14, no. 1, Art. no. 1, 2014, doi: 10.1002/pamm.201410276.
    4. M.-A. Keip, P. Steinmann, and J. Schröder, “Computer Methods in Applied Mechanics and Engineering,” Computer Methods in Applied Mechanics and Engineering, vol. 278, pp. 62--79, 2014, doi: 10.1016/j.cma.2014.04.020.
    5. J. A. Kieser, M. G. Farland, H. Jack, M. Farella, Y. Wang, and O. Röhrle, “The role of oral soft tissues in swallowing function: what can tongue pressure tell us?,” Australian Dental Journal, vol. 59, pp. 155--161, 2014, doi: 10.1111/adj.12103.
    6. A. Kissinger, V. Noack, S. Knopf, D. Scheer, W. Konrad, and H. Class, “Characterization of reservoir conditions for CO2 storage using a dimensionless Gravitational Number applied to the North German Basin,” Sustainable Energy Technologies and Assessments, vol. 7, pp. 209--220, 2014, doi: 10.1016/j.seta.2014.06.003.
    7. D. Koch and W. Ehlers, “Modelling and simulation of heat exchange and transport in a geothermal plant,” Proceedings in Applied Mathematics and Mechanics, vol. 14, pp. 447--448, 2014, doi: 10.1002/pamm.201410211.
    8. J. Koch and W. Nowak, “A method for implementing Dirichlet and third-type boundary conditions in PTRW simulations,” Water Resources Research, vol. 50, no. 2, Art. no. 2, 2014, doi: 10.1002/2013WR013796.
    9. H. Kosow and C. Leon, “Die Szenariotechnik als Methode der Experten- und Stakeholdereinbindung.,” In: Niederberger M, Wassermann S (Hrsg.): Methoden der Experten- und Stakeholdereinbindung in der sozialwissenschaftlichen Forschung., 2014, doi: 10.1007/978-3-658-01687-6_11.
    10. A. Kramer, B. Calderhead, and N. Radde, “Hamiltonian Monte Carlo Methods for Efficient Parameter Estimation in Steady State Dynamical Systems,” BMC Bioinformatics, vol. 15, no. 1, Art. no. 1, 2014, doi: 10.1186/1471-2105-15-253.
    11. A. Kramer, V. Stathopoulus, M. Girolami, and N. Radde, “MCMC_CLIB: An advanced MCMC sampling package for ode models with highly correlated parameters,” Bioinformatics, 2014, doi: 10.1093/bioinformatics/btu429.
    12. K. Kratzer, J. T. Berryman, A. Taudt, J. Zeman, and A. Arnold, “The Flexible Rare Event Sampling Harness System (FRESHS),” Computer Physics Communications, vol. 185, no. 7, Art. no. 7, 2014, doi: 10.1016/j.cpc.2014.03.013.
    13. A. N. Krishnamoorthy, C. Holm, and J. Smiatek, “Local Water Dynamics around Antifreeze Protein Residues in the Presence of Osmolytes: The Importance of Hydroxyl and Disaccharide Groups,” The Journal of Physical Chemistry B, vol. 118, no. 40, Art. no. 40, 2014, doi: 10.1021/jp507062r.
    14. J. Kästner, “Theory and Simulation of Atom Tunneling in Chemical Reactions,” WIREs Comput. Mol. Sci., vol. 4, p. 158, 2014, doi: 10.1002/wcms.1165.
    15. M. Köppel, I. Kröker, and C. Rohde, “Stochastic Modeling for Heterogeneous Two-Phase Flow,” Finite Volumes for Complex Applications VII Methods and Theoretical Aspects, vol. 77, pp. 353--361, 2014, doi: 10.1007/978-3-319-05684-5_34.

  11. L

    1. C. Linder and A. Raina, “A homogenization approach for nonwoven materials based on fiber undulations and reorientation,” Journal of the Mechanics and Physics of Solids, vol. 65, pp. 12--34, 2014, doi: 10.1016/j.jmps.2013.12.011.
    2. M. Löhning, M. Reble, J. Hasenauer, S. Yu, and F. Allgöwer, “Model predictive control using reduced order models: Guaranteed stability for constrained linear systems,” Journal of Process Control, vol. 24, no. 11, Art. no. 11, 2014, doi: 10.1016/j.jprocont.2014.07.006.

  12. M

    1. I. Maier and B. Haasdonk, “A Dirichlet-Neumann reduced basis method for homogeneous domain decomposition problems,” Applied Numerical Mathematics, vol. 78, pp. 31--48, 2014, doi: 10.1016/j.apnum.2013.12.001.
    2. S. Micciulla et al., “Layer-by-layer formation of oligoelectrolyte multilayers: a combined experimental and computational study,” Soft Materials, vol. 12, p. 1, 2014, doi: 10.1080/1539445X.2014.930046.
    3. C. Miehe, “Variational gradient plasticity at finite strains. Part I: Mixed potentials for the evolution and update problems of gradient-extended dissipative solids,” Computer Methods in Applied Mechanics and Engineering, vol. 268, pp. 677--703, 2014, doi: 10.1016/j.cma.2013.03.014.
    4. C. Miehe, F. E. Hildebrand, and L. Böger, “Mixed variational potentials and inherent symmetries of the Cahn-Hilliard theory of diffusive phase separation,” Proceedings of the Royal Society of London A: Mathematical, Physical and Engineering Sciences, vol. 470, 2014, doi: 10.1098/rspa.2013.0641.
    5. C. Miehe, S. Mauthe, and F. E. Hildebrand, “Variational gradient plasticity at finite strains. Part III: Local-global updates and regularization techniques in multiplicative plasticity for single crystals,” Computer Methods in Applied Mechanics and Engineering, vol. 268, pp. 735--762, 2014, doi: 10.1016/j.cma.2013.08.022.
    6. C. Miehe, S. Mauthe, and H. Ulmer, “Formulation and numerical exploitation of mixed variational principles for coupled problems of Cahn-Hilliard-type and standard diffusion in elastic solids,” International Journal for Numerical Methods in Engineering, vol. 99, pp. 737--762, 2014, doi: 10.1002/nme.4700.
    7. C. Miehe and L. Schänzel, “Phase field modeling of fracture in rubbery polymers. Part I: Finite elasticity coupled with brittle failure,” Journal of the Mechanics and Physics of Solids, vol. 65, pp. 93--113, 2014, doi: 10.1016/j.jmps.2013.06.007.
    8. C. Miehe, F. Welschinger, and F. Aldakheel, “Variational gradient plasticity at finite strains. Part II: Local-global updates and mixed finite elements for additive plasticity in the logarithmic strain space,” Computer Methods in Applied Mechanics and Engineering, vol. 268, pp. 704--734, 2014, doi: 10.1016/j.cma.2013.07.015.
    9. E. Minina and A. Arnold, “Induction of entropic segregation: the first step is the hardest,” Soft Matter, vol. 10, no. 31, Art. no. 31, 2014, doi: 10.1039/C4SM00286E.
    10. D. Molnar, P. Binkele, A. Mora, R. Mukherjee, B. Nestler, and S. Schmauder, “Molecular Dynamics virtual testing of thermally aged Fe-Cu microstructures obtained from multiscale simulations,” Computational Materials Science, vol. 81, pp. 466--470, 2014, doi: 10.1016/j.commatsci.2013.08.057.
    11. J. M. Montenbruck and F. Allgöwer, “Pinning Capital Stock and Gross Investment Rate in Competing Rationally Managed Firms,” Proc. 19th IFAC World Congress, pp. 10719--10724, 2014, doi: 10.3182/20140824-6-ZA-1003.01449.
    12. J. M. Montenbruck, H.-B. Dürr, C. Ebenbauer, and F. Allgöwer, “Extremum Seeking and Obstacle Avoidance on the Special Orthogonal Group,” Proc. 19th IFAC World Congress, pp. 8229--8234, 2014, doi: 10.3182/20140824-6-ZA-1003.01446.
    13. K. Mosthaf, R. Helmig, and D. Or, “Modeling and analysis of evaporation processes from porous media on the REV scale,” Water Resources Research, vol. 50, pp. 1059--1079, 2014, doi: 10.1002/2013WR014442.
    14. F. Mwalongo, M. Krone, G. K. Karch, M. Becher, G. Reina, and T. Ertl, “Visualization of Molecular Structures using State-of-the-Art Techniques in WebGL,” International Conference on 3D Web Technology (Web3D 14), pp. 133--141, 2014, doi: 10.1145/2628588.2628597.
    15. M. A. Müller and F. Allgöwer, “Distributed economic MPC: a framework for cooperative control problems,” Proc. of the 19th IFAC World Congress, pp. 1029--1034, 2014, doi: 10.3182/20140824-6-ZA-1003.01177.
    16. M. A. Müller and F. Allgöwer, “Distributed MPC for consensus and synchronization,” J. M. Maestre, R. Negenborn, editors, Distributed MPC Made Easy, pp. 89--100, 2014, doi: 10.1007/978-94-007-7006-5.
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