Publications 2020

  1. A

    1. Altmann, Robert ; Mehrmann, Volker ; Unger, Benjamin: Port-Hamiltonian formulations of poroelastic network models. In: ArXiv e-print 2012.01949, ArXiv e-print 2012.01949. (2020)
  2. B

    1. Barreau, M. ; Scherer, C. W. ; Gouaisbaut, F. ; Seuret, A.: Integral Quadratic Constraints on Linear Infinite-dimensional Systems for Robust Stability Analysis. In: IFAC World Congress, IFAC World Congress, 2020
    2. Bauer, TL ; Buchholz, PCF ; Pleiss, J: The modular structure of α/β-hydrolases. In: FEBS J, FEBS J. Bd. 287 (2020), S. 1035–1053
    3. Beck, Andrea ; Kurz, Marius: A Perspective on Machine Learning Methods in Turbulence Modelling (2020)
    4. Beckers, Felix ; Heredia, Andrés ; Noack, Markus ; Nowak, Wolfgang ; Wieprecht, Silke ; Oladyshkin, Sergey: Bayesian Calibration and Validation of a Large-Scale and Time-Demanding Sediment Transport Model. In: Water Resources Research, Water Resources Research. Bd. 56, American Geophysical Union (AGU) (2020), Nr. 7
    5. Breitsprecher, Konrad ; Janssen, Mathijs ; Srimuk, Pattarachai ; Mehdi, B. Layla ; Presser, Volker ; Holm, Christian ; Kondrat, Svyatoslav: How to speed up ion transport in nanopores. In: Nature Communications, Nature Communications. Bd. 11, Springer Science and Business Media LLC (2020), Nr. 1
    6. Brencher, Lukas ; Barth, Andrea: Hyperbolic Conservation Laws with Stochastic Discontinuous Flux Functions. In: International Conference on Finite Volumes for Complex Applications, International Conference on Finite Volumes for Complex Applications : Springer, 2020, S. 265--273
    7. Buchfink, P. ; Haasdonk, B. ; Rave, S.: PSD-Greedy Basis Generation for Structure-Preserving Model Order Reduction of Hamiltonian Systems. In: Frolkovič, P. ; Mikula, K. ; Ševčovič, D. (Hrsg.) ; Frolkovič, P. ; Mikula, K. ; Ševčovič, D. (Hrsg.): Proceedings of the Conference Algoritmy 2020, Proceedings of the Conference Algoritmy 2020 : Vydavateľstvo SPEKTRUM, 2020 — ISBN 978-80-227-5032-5, S. 151--160
  3. C

    1. Chu, Xu ; Wu, Yongxiang ; Rist, Ulrich ; Weigand, Bernhard: Instability and transition in an elementary porous medium. In: Phys. Rev. Fluids, Phys. Rev. Fluids. Bd. 5, American Physical Society (2020), Nr. 4, S. 044304
    2. Coltman, Edward ; Lipp, Melanie ; Vescovini, Andrea ; Helmig, Rainer: Obstacles, Interfacial Forms, and Turbulence: A Numerical Analysis of Soil--Water Evaporation Across Different Interfaces. In: Transport in Porous Media, Transport in Porous Media. (2020)
    3. Cooper, April M ; Kästner, Johannes ; Urban, Alexander ; Artrith, Nongnuch: Efficient training of ANN potentials by including atomic forces via Taylor expansion and application to water and a transition-metal oxide. In: npj Computational Materials, npj Computational Materials. Bd. 6, Nature Publishing Group (2020), Nr. 1, S. 1--14
  4. D

    1. Denzel, Alexander ; Kästner, Johannes: Hessian Matrix Update Scheme for Transition State Search Based on Gaussian Process Regression. In: Journal of Chemical Theory and Computation, Journal of Chemical Theory and Computation. Bd. 16, American Chemical Society (ACS) (2020), Nr. 8, S. 5083--5089
    2. Diestelkämper, Ralf ; Herschel, Melanie: Tracing nested data with structural provenance for big data analytics. In: Proceedings of the International Conference on Extending Database Technology (EDBT), Proceedings of the International Conference on Extending Database Technology (EDBT), 2020, S. 253–264
    3. Diestelkämper, Ralf ; Herschel, Melanie: Distributed Tree-Pattern Matching in Big Data Analytics Systems. In: Conference on Advances in Databases and Information Systems (ADBIS), Conference on Advances in Databases and Information Systems (ADBIS). Bd. 12245 : Springer, 2020, S. 171--186
    4. Diestelkämper, Ralf ; Herschel, Melanie: Distributed Tree-Pattern Matching in Big Data Analytics Systems. In: In Proceedings of the Conference on Advances in Databases and Information Systems (ADBIS), In Proceedings of the Conference on Advances in Databases and Information Systems (ADBIS) : Springer, 2020, S. 171–186
    5. Diestelkämper, Ralf ; Herschel, Melanie: Tracing nested data with structural provenance for big data analytics. In: Proceedings of the 23nd International Conference on Extending Database Technology, EDBT 2020, Copenhagen, Denmark, March 30 - April 02, 2020, Proceedings of the 23nd International Conference on Extending Database Technology, EDBT 2020, Copenhagen, Denmark, March 30 - April 02, 2020, 2020, S. 253--264
  5. E

    1. Eisenkolb, I ; Jensch, A ; Eisenkolb, K ; Kramer, A ; Buchholz, Patrick ; Pleiss, Jürgen ; Spiess, A ; Radde, NE: Modeling of biocatalytic reactions: A workflow for model calibration, selection and validation using Bayesian statistics. In: AIChE J, AIChE J. Bd. 66 (2020), S. e16866
  6. F

    1. Fernández, Mauricio ; Fritzen, Felix: On the generation of periodic discrete structures with identical two-point correlation. In: Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences. Bd. 476 (2020), Nr. 2242, S. 20200568
    2. Fernández, Mauricio ; Fritzen, Felix: Construction of a class of sharp Löwner majorants for a set of symmetric matrices. In: Journal of Applied Mathematics, Journal of Applied Mathematics. Bd. 2020, Hindawi (2020), S. 1–18
    3. Fischer, Matthias ; Bauer, Gernot ; Gross, Joachim: Transferable Anisotropic United-Atom Mie (TAMie) Force Field: Transport Properties from Equilibrium Molecular Dynamic Simulations. In: Industrial & Engineering Chemistry Research, Industrial & Engineering Chemistry Research. Bd. 59, ACS Publications (2020), Nr. 18, S. 8855--8869
    4. Fullstone, Gavin ; Guttà, Cristiano ; Beyer, Amatus ; Rehm, Markus: The FLAME-accelerated signalling tool (FaST) for facile parallelisation of flexible agent-based models of cell signalling. In: npj Systems Biology and Applications, npj Systems Biology and Applications. Bd. 6 (2020), Nr. 1, S. 10--
    5. Fullstone, Gavin ; Bauer, Tabea L ; Guttà, Cristiano ; Salvucci, Manuela ; Prehn, Jochen HM ; Rehm, Markus: The apoptosome molecular timer synergises with XIAP to suppress apoptosis execution and contributes to prognosticating survival in colorectal cancer. In: Cell Death & Differentiation, Cell Death & Differentiation., Nature Publishing Group (2020), S. 1--15
    6. Fullstone, Gavin ; Bauer, Tabea L. ; Guttà, Cristiano ; Salvucci, Manuela ; Prehn, Jochen H. M. ; Rehm, Markus: The apoptosome molecular timer synergises with XIAP to suppress apoptosis execution and contributes to prognosticating survival in colorectal cancer. In: Cell Death & Differentiation, Cell Death & Differentiation. (2020)
  7. G

    1. Gebhardt, Julia ; Kiesel, Matthias ; Riniker, Sereina ; Hansen, Niels: Combining Molecular Dynamics and Machine Learning to Predict Self-Solvation Free Energies and Limiting Activity Coefficients. In: Journal of Chemical Information and Modeling, Journal of Chemical Information and Modeling. Bd. 60, American Chemical Society (ACS) (2020), Nr. 11, S. 5319--5330
    2. Guttà, Cristiano ; Rahman, Arman ; Aura, Claudia ; Dynoodt, Peter ; Charles, Emilie M. ; Hirschenhahn, Elodie ; Joseph, Jesuchristopher ; Wouters, Jasper ; u. a.: Low expression of pro-apoptotic proteins Bax, Bak and Smac indicates prolonged progression-free survival in chemotherapy-treated metastatic melanoma. In: Cell Death & Disease, Cell Death & Disease. Bd. 11, Springer Science and Business Media LLC (2020), Nr. 2
    3. Gygli, G ; Xu, XM ; Pleiss, Jürgen: Meta-analysis of viscosity of aqueous deep eutectic solvents and their components. In: Sci Rep, Sci Rep. Bd. 10 (2020), S. 21395–21395
    4. Gygli, G ; Pleiss, Jürgen: Simulation Foundry: automated and F.A.I.R. molecular modelling. In: J Chem Inf Model, J Chem Inf Model. Bd. 60 (2020), S. 1922–1927
    5. Gygli, Gudrun ; Pleiss, Juergen: Simulation foundry: Automated and FAIR molecular modeling. In: Journal of chemical information and modeling, Journal of chemical information and modeling. Bd. 60, ACS Publications (2020), Nr. 4, S. 1922--1927
  8. H

    1. Hansen, Niels ; Öehlknecht, Christoph ; de Ruiter, Anita ; Lier, Bettina ; van Gunsteren, Wilfred F. ; Oostenbrink, Chris ; Gebhardt, Julia: A Suite of Advanced Tutorials for the GROMOS Biomolecular Simulation Software Article v1.0. In: Living Journal of Computational Molecular Science, Living Journal of Computational Molecular Science. Bd. 2, University of Colorado at Boulder (2020), Nr. 1
    2. Heck, K. ; Coltman, E. ; Schneider, J. ; Helmig, R.: Influence of Radiation on Evaporation Rates: A Numerical Analysis. In: Water Resources Research, Water Resources Research. Bd. 56, American Geophysical Union (AGU) (2020), Nr. 10
    3. Heyen, Frank ; Munz, Tanja ; Neumann, Michael ; Ortega, Daniel ; Vu, Ngoc Thang ; Weiskopf, Daniel ; Sedlmair, Michael: ClaVis: An Interactive Visual Comparison System for Classifiers. In: Proceedings of the International Conference on Advanced Visual Interfaces, Proceedings of the International Conference on Advanced Visual Interfaces. Salerno, Italy : Association for Computing Machinery, 2020 — ISBN 9781450375351
    4. Holicki, T. ; Scherer, C. W. ; Trimpe, S.: Controller Design via Experimental Exploration with Robustness Guarantees. In: IEEE Control Syst. Lett., IEEE Control Syst. Lett. (2020)
    5. Holicki, Tobias ; Scherer, Carsten W.: Revisiting and Generalizing the Dual Iteration for Static and Robust Output-Feedback Synthesis. In: arXiv:2007.00965 math.OC, arXiv:2007.00965 math.OC. (2020)
    6. Holicki, Tobias ; Scherer, Carsten W.: Output-Feedback Synthesis for a Class of Aperiodic Impulsive Systems. In: IFAC-PapersOnline, IFAC-PapersOnline. Bd. 53 (2020), Nr. 2, S. 7299--7304
  9. I

    1. Imig, Dirke ; Pollak, Nadine ; Allgöwer, Frank ; Rehm, Markus: Sample-based modeling reveals bidirectional interplay between cell cycle progression and extrinsic apoptosis. In: PLOS Computational Biology, PLOS Computational Biology. Bd. 16, Public Library of Science (2020), Nr. 6, S. 1–17
  10. K

    1. Kempter, Fabian ; Bechler, Florian ; Fehr, Jörg: Calibration Approach for Muscle Activated Human Models in Pre-Crash Maneuvers with a Driver-in-the-Loop Simulator. In: Proceedings in 6th Digital Human Modeling Symposium, Proceedings in 6th Digital Human Modeling Symposium. Skövde, Sweden, 2020
    2. Kneifl, Jonas ; Grunert, Dennis ; Fehr, Jörg: A non-intrusive nonlinear model reduction method for structural dynamical problems based on machine learning : Universität Stuttgart, 2020
    3. Kunc, Oliver ; Fritzen, Felix: Many-scale finite strain computational homogenization via Concentric Interpolation. In: International Journal for Numerical Methods in Engineering, International Journal for Numerical Methods in Engineering. Bd. 121 (2020), Nr. 21, S. 4689--4716
    4. Kuritz, Karsten ; Stöhr, Daniela ; Maichl, Daniela Simone ; Pollak, Nadine ; Rehm, Markus ; Allgöwer, Frank: Reconstructing temporal and spatial dynamics from single-cell pseudotime using prior knowledge of real scale cell densities. In: Scientific Reports, Scientific Reports. Bd. 10, Nature Publishing Group (2020), Nr. 1, S. 3619
    5. Kurz, Marius ; Beck, Andrea: A machine learning framework for LES closure terms (2020)
  11. M

    1. M, Mangiagalli ; H, Carvalho ; A, Natalello ; V, Ferrario ; ML, Pennati ; A, Barbiroli ; M, Lotti ; J, Pleiss ; u. a.: Diverse effects of aqueous polar co-solvents on Candida antarctica lipase B. In: Int J Biol Macromol, Int J Biol Macromol. Bd. 150 (2020), S. 930–940
    2. Mangiagalli, M ; Carvalho, H ; Natalello, A ; Ferrario, V ; Pennati, ML ; Barbiroli, A ; Lotti, M ; Pleiss, J ; u. a.: Diverse effects of aqueous polar co-solvents on Candida antarctica lipase B. In: Int J Biol Macromol, Int J Biol Macromol. Bd. 150 (2020), S. 930–940
    3. Martin, T. ; Allgöwer, F.: Data-driven surrogate models for LTI systems via saddle-point dynamics. In: , 2020
    4. Martin, T. ; Allgöwer, F.: Iterative data-driven inference of nonlinearity measures via successive graph approximation. In: 2020 59th IEEE Conference on Decision and Control (CDC), 2020 59th IEEE Conference on Decision and Control (CDC), 2020, S. 4760–4765
    5. Michalowsky, S ; Scherer, C. W. ; Ebenbauer, C.: Robust and structure exploiting optimization algorithms: An integral quadratic constraint approach. In: Int. J. Control, Int. J. Control. (2020), S. 1–24
    6. Molpeceres, G. ; Zaverkin, Viktor ; Kästner, Johannes: Neural-network assisted study of nitrogen atom dynamics on amorphous solid water – I. adsorption and desorption. In: Mon. Not. R. Astron. Soc., Mon. Not. R. Astron. Soc. Bd. 499 (2020), S. 1373–1384
    7. Munz, Tanja ; Schäfer, Noel ; Blascheck, Tanja ; Kurzhals, Kuno ; Zhang, Eugene ; Weiskopf, Daniel: Comparative Visual Gaze Analysis for Virtual Board Games. In: The 13th International Symposium on Visual Information Communication and Interaction (VINCI 2020), The 13th International Symposium on Visual Information Communication and Interaction (VINCI 2020). (2020)
    8. Munz, Tanja ; Schaefer, Noel ; Blascheck, Tanja ; Kurzhals, Kuno ; Zhang, Eugene ; Weiskopf, Daniel: Demo of a Visual Gaze Analysis System for Virtual Board Games. In: ACM Symposium on Eye Tracking Research and Applications, ACM Symposium on Eye Tracking Research and Applications. Stuttgart, Germany : Association for Computing Machinery, 2020
  12. N

    1. Nguyen, Lu Trong Khiem ; Rambausek, Matthias ; Keip, Marc-André: Variational framework for distance-minimizing method in data-driven computational mechanics. In: Computer Methods in Applied Mechanics and Engineering, Computer Methods in Applied Mechanics and Engineering. Bd. 365, Elsevier BV (2020), S. 112898
  13. O

    1. Oladyshkin, Sergey ; Mohammadi, Farid ; Kroeker, Ilja ; Nowak, Wolfgang: Bayesian3 Active Learning for the Gaussian Process Emulator Using Information Theory. In: Entropy, Entropy. Bd. 22, MDPI AG (2020), Nr. 8, S. 890
  14. P

    1. Praditia, Timothy ; Walser, Thilo ; Oladyshkin, Sergey ; Nowak, Wolfgang: Improving Thermochemical Energy Storage Dynamics Forecast with Physics-Inspired Neural Network Architecture. In: Energies, Energies. Bd. 13, MDPI AG (2020), Nr. 15, S. 3873
  15. R

    1. Reutzsch, Jonathan ; Kieffer-Roth, Corine ; Weigand, Bernhard: A consistent method for direct numerical simulation of droplet evaporation. In: Journal of Computational Physics, Journal of Computational Physics., Elsevier (2020), S. 109455
    2. Reutzsch, Jonathan ; Kieffer-Roth, Corine ; Weigand, Weigand: A consistent method for direct numerical simulation of droplet evaporation. In: Journal of Computational Physics, Journal of Computational Physics., Elsevier (2020), S. 109455
    3. Rösinger, C. A. ; Scherer, C. W.: Lifting to Passivity for $H_2$-Gain-Scheduling Synthesis with Full Block Scalings (2020)
  16. S

    1. Salm, Marie ; Barzen, Johanna ; Breitenbücher, Uwe ; Leymann, Frank ; Weder, Benjamin ; Wild, Karoline: The NISQ Analyzer: Automating the Selection of Quantum Computers for Quantum Algorithms. In: Proceedings of the 14th Symposium and Summer School on Service-Oriented Computing (SummerSOC 2020), Proceedings of the 14th Symposium and Summer School on Service-Oriented Computing (SummerSOC 2020) : Springer International Publishing, 2020, S. 66--85
    2. Salm, Marie ; Barzen, Johanna ; Leymann, Frank ; Weder, Benjamin: About a Criterion of Successfully Executing a Circuit in the NISQ Era: What $wd 1/\epsilon_eff$ Really Means. In: Proceedings of the 1st ACM SIGSOFT International Workshop on Architectures and Paradigms for Engineering Quantum Software, Proceedings of the 1st ACM SIGSOFT International Workshop on Architectures and Paradigms for Engineering Quantum Software : ACM, 2020
    3. Schepp, Laura L ; Ahrens, Benedikt ; Balcewicz, Martin ; Duda, Mandy ; Nehler, Mathias ; Osorno, Maria ; Uribe, David ; Steeb, Holger ; u. a.: Digital rock physics and laboratory considerations on a high-porosity volcanic rock. In: Scientific Reports, Scientific Reports. Bd. 10, Nature Publishing Group (2020), Nr. 1, S. 1--16
    4. Schepp, Laura L. ; Ahrens, Benedikt ; Balcewicz, Martin ; Duda, Mandy ; Nehler, Mathias ; Osorno, Maria ; Uribe, David ; Steeb, Holger ; u. a.: Digital rock physics and laboratory considerations on a high-porosity volcanic rock: micro-XRCT data sets, DaRUS (2020)
    5. Schlottke, Karin ; Reutzsch, Jonathan ; Kieffer-Roth, Corine ; Weigand, Bernhard: Direct Numerical Simulations of Evaporating Droplets at Higher Temperatures: Application of a Consistent Numerical Approach. In: Droplet Interactions and Spray Processes, Droplet Interactions and Spray Processes : Springer International Publishing, 2020, S. 287–299
    6. Sivaraman, Ganesh ; Krishnamoorthy, Anand Narayanan ; Baur, Matthias ; Holm, Christian ; Stan, Marius ; Csányi, Gábor ; Benmore, Chris ; Vázquez-Mayagoitia, Álvaro: Machine-learned interatomic potentials by active learning: amorphous and liquid hafnium dioxide. In: npj Computational Materials, npj Computational Materials. Bd. 6, Springer Science and Business Media LLC (2020), Nr. 1
    7. Stockinger, Peter ; Roth, S ; Müller, M ; Pleiss, Jürgen: Systematic evaluation of imine-reducing enzymes: Common principles in imine reductases, β-hydroxyacid dehydrogenases, and short-chain dehydrogenases/reductases. In: ChemBioChem, ChemBioChem. Bd. 21 (2020), S. 2689–2695
    8. Stöhr, Daniela ; Schmid, Jens O. ; Beigl, Tobias B. ; Mack, Alexandra ; Maichl, Daniela S. ; Cao, Kai ; Budai, Beate ; Fullstone, Gavin ; u. a.: Stress-induced TRAILR2 expression overcomes TRAIL resistance in cancer cell spheroids. In: Cell Death & Differentiation, Cell Death & Differentiation. (2020)
    9. Stöhr, Daniela ; Jeltsch, Albert ; Rehm, Markus: TRAIL receptor signaling: From the basics of canonical signal transduction toward its entanglement with ER stress and the unfolded protein response. In: Cell Death Regulation in Health and Disease-Part A, Cell Death Regulation in Health and Disease-Part A., Academic Press (2020), S. 57
    10. Stöhr, Daniela ; Rehm, Markus: Linking hyperosmotic stress and apoptotic sensitivity. In: The FEBS Journal, The FEBS Journal., Blackwell Publishing Ltd (2020), S. febs.15520
    11. Stöhr, Daniela ; Schmid, Jens O ; Beigl, Tobias B ; Mack, Alexandra ; Maichl, Daniela S ; Cao, Kai ; Budai, Beate ; Fullstone, Gavin ; u. a.: Stress-induced TRAILR2 expression overcomes TRAIL resistance in cancer cell spheroids. In: Cell Death & Differentiation, Cell Death & Differentiation., Nature Publishing Group (2020), S. 1--16
  17. T

    1. Tomalka, André ; Weidner, Sven ; Hahn, Daniel ; Seiberl, Wolfgang ; Siebert, Tobias: Cross-Bridges and Sarcomeric Non-cross-bridge Structures Contribute to Increased Work in Stretch-Shortening Cycles. In: Frontiers in Physiology, Frontiers in Physiology. Bd. 11, Frontiers Media SA (2020)
    2. Tovey, Samuel ; Krishnamoorthy, Anand Narayanan ; Sivaraman, Ganesh ; Guo, Jicheng ; Benmore, Chris ; Heuer, Andreas ; Holm, Christian: DFT Accurate Interatomic Potential for Molten NaCl from Machine Learning. In: The Journal of Physical Chemistry C, The Journal of Physical Chemistry C. Bd. 124, American Chemical Society (ACS) (2020), Nr. 47, S. 25760--25768
  18. V

    1. Vetma, Vesna ; Guttà, Cristiano ; Peters, Nathalie ; Praetorius, Christian ; Hutt, Meike ; Seifert, Oliver ; Meier, Friedegund ; Kontermann, Roland ; u. a.: Convergence of pathway analysis and pattern recognition predicts sensitization to latest generation TRAIL therapeutics by IAP antagonism. In: Cell Death & Differentiation 2020, Cell Death & Differentiation 2020., Nature Publishing Group (2020), S. 1--16
  19. W

    1. Weder, B. ; Breitenbücher, U. ; Leymann, F. ; Wild, K.: Integrating Quantum Computing into Workflow Modeling and Execution. In: 2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC), 2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC), 2020, S. 279–291
    2. Weder, Benjamin ; Breitenbücher, Uwe ; Képes, Kálmán ; Leymann, Frank ; Zimmermann, Michael: Deployable Self-Contained Workflow Models. In: Proceedings of the 8th European Conference on Service-Oriented and Cloud Computing (ESOCC 2020), Proceedings of the 8th European Conference on Service-Oriented and Cloud Computing (ESOCC 2020) : Springer International Publishing, 2020, S. 85--96
    3. Weder, Benjamin ; Barzen, Johanna ; Leymann, Frank ; Salm, Marie ; Vietz, Daniel: The Quantum Software Lifecycle. In: Proceedings of the 1st ACM SIGSOFT International Workshop on Architectures and Paradigms for Engineering Quantum Software (APEQS 2020), Proceedings of the 1st ACM SIGSOFT International Workshop on Architectures and Paradigms for Engineering Quantum Software (APEQS 2020) : ACM, 2020, S. 2--9
    4. Wild, Karoline ; Breitenbücher, Uwe ; Képes, Kálmán ; Leymann, Frank ; Weder, Benjamin: Decentralized Cross-Organizational Application Deployment Automation: An Approach for Generating Deployment Choreographies Based on Declarative Deployment Models. In: Proceedings of the 32nd Conference on Advanced Information Systems Engineering (CAiSE 2020), Proceedings of the 32nd Conference on Advanced Information Systems Engineering (CAiSE 2020). Bd. 12127 : Springer International Publishing, 2020, S. 20--35
    5. Wochner, Isabell ; Driess, Danny ; Zimmermann, Heiko ; Haeufle, Daniel FB ; Toussaint, Marc ; Schmitt, Syn: Optimality principles in human point-to-manifold reaching accounting for muscle dynamics. In: Frontiers in Computational Neuroscience, Frontiers in Computational Neuroscience. Bd. 14, Frontiers (2020), S. 38
  20. X

    1. Xiao, Sinan ; Oladyshkin, Sergey ; Nowak, Wolfgang: Reliability analysis with stratified importance sampling based on adaptive Kriging. In: Reliability Engineering & System Safety, Reliability Engineering & System Safety. Bd. 197, Elsevier BV (2020), S. 106852
    2. Xiao, Sinan ; Oladyshkin, Sergey ; Nowak, Wolfgang: Forward-reverse switch between density-based and regional sensitivity analysis. In: Applied Mathematical Modelling, Applied Mathematical Modelling. Bd. 84, Elsevier (2020), S. 377--392
  21. Y

    1. Yu, Xingyao ; Angerbauer, Katrin ; Mohr, Peter ; Kalkofen, Denis ; Sedlmair, Michael: Perspective Matters: Design Implications for Motion Guidance in Mixed Reality. In: Proceedings of the IEEE International Symposium on Mixed and Augmented Reality (ISMAR), Proceedings of the IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2020
  22. Z

    1. Zaverkin, V. ; Kästner, J.: Gaussian Moments as Physically Inspired Molecular Descriptors for Accurate and Scalable Machine Learning Potentials. In: Journal of Chemical Theory and Computation, Journal of Chemical Theory and Computation. Bd. 16, American Chemical Society (ACS) (2020), Nr. 8, S. 5410--5421
    2. Zeman, Johannes ; Kondrat, Svyatoslav ; Holm, Christian: Bulk ionic screening lengths from extremely large-scale molecular dynamics simulations. In: Chem. Commun., Chem. Commun. Bd. 56, The Royal Society of Chemistry (2020), Nr. 100, S. 15635–15638
    3. Zimmermann, M. ; Breitenbücher, U. ; Képes, K. ; Leymann, F. ; Weder, B.: Data Flow Dependent Component Placement of Data Processing Cloud Applications. In: 2020 IEEE International Conference on Cloud Engineering (IC2E), 2020 IEEE International Conference on Cloud Engineering (IC2E), 2020, S. 83–94
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