Folgende Veröffentlichungen sind im Rahmen der vom SWZ geförderten Projekte entstanden:


  • L. Hahn, S. A. Blaue, P. Höhn, N. Merkert, P. Klein. Open Educational Resources für den Hochschulbereich. In PhyDid B, Didaktik der Physik, Beiträge zur virtuellen DPG-Frühjahrstagung. Ed: H. Grötzebauch, S. Heinicke, 2023
  • A. Demirci, D. Steinberger, M. Stricker, N. Merkert, D. Weygand und S. Sandfeld. Statistical analysis of discrete dislocation dynamics simulations: initial structures, cross-slip and microstructure evolutions. MSMSE 31:075003, 2023
  • S. Raumel, K. Barienti, H.-T. Luu, N. Merkert, F. Dencker, F. Nürnberger, H.J. Maier, M. C. Wurz. Characterization of the tribologically relevant cover layers formed on copper in oxygen and oxygen-free conditions. Friction,  DOI: 10.1007/s40544-022-0695-5, 2023.
  • I. Alabd Alhafez, M. Kopnarski, H.M. Urbassek. Multiple Scratching: An Atomistic Study. Tribol Lett 71: 46, 2023.
  • I. Alabd Alhafez, M. Kopnarski, H. M. Urbassek. Scratching a soft layer above a hard substrate. Philosophical Magazine,, 2023.
  • G.S. Dutta, D. Meiners, N. Merkert. A Study of Free-Form Shape Rationalization Using Biomimicry as Inspiration. Polymers 15:2466, 2023.


  • S. Homann, H.-T. Luu und N. Merkert. Molecular dynamics simulations of the machining of oxidized and deoxidized titanium work pieces. Results Surf. Interfaces 9:100085, 2022.
  • H.-T. Luu, S. Raumel, F. Dencker, M. Wurz und N. Merkert. Nanoindentation in alumina coated Al: Molecular dynamics simulations and experiments. Surf. Coat. Tech. 437:128342, 2022.
  • D. Thürmer, N. Gunkelmann. Shock-induced spallation in a nanocrystalline high-entropy alloy: An atomistic study. J. Appl. Phys. 131:065902, 2022.
  • D. Thürmer, S. Zhao, O. R. Deluigi, C. Stan, I. A. Alhafez, H. M. Urbassek, M. A. Meyers, E. M.Bringa, N. Gunkelmann. Exceptionally high spallation strength for a high-entropy alloy demonstrated by experiments and simulations. J. Alloys Compd. 895:162567, 2022.


  • A. Herzog, J. Necil, M. Pollet, H. Busch. Methoden und Konzepte des Digitalen Logistikzwillings der AG der Dillinger Hüttenwerke (Dillinger). In: Simulation in Produktion und Logistik 2021. Cuvillier Verlag, 2021, 157-166.
  • A. Plack, M. Bierwirth, A.P. Weber und N. Gunkelmann. Experimental and atomistic study of high speed collisions of gold nanoparticles with a gold substrate: Validation of interatomic potentials. J Aerosol Sci. 159:105846, 2021.
  • A. Herzog: Simulation mit dem Warteschlangensimulator, Mathematische Modellierung und Simulation von Produktions- und Logistikprozessen, Springer, 2021.
  • H.-T. Luu, S.-L. Dang, T.-V. Hoang und N. Gunkelmann. Molecular dynamics simulation of nanoindentation in Al and Fe: On the influence of system characteristics. Appl. Surf. Science 551:149221, 2021.
  • H. Song, N. Gunkelmann, G. Po und S. Sandfeld. Data-mining of dislocation microstructures: concepts for coarse-graining of internal energies. MSMSE 29:035005, 2021.
  • Hartmann, S., Gilbert, R. R., Kheiri Marghzar, A., Leistner, C., Dileep, P. K.: Parameter identification of unidirectional fiber-reinforced composites, Archive of Applied Mechanics, 91(2): 687-712, 2021.
  • Hartmann, S.: The Method of Vertical Lines in Non-Linear Finite Elements, Plenary Lecture at the GAMM Annual Meeting, Kassel, 16.3.2021 (60min movie).
  • Hartmann, S., Gilbert, R. R.: Material parameter identification using a least-square method applied to finite elements and experimental full-field information, published online Computational Mechanics 85, 2021.
  • S. Gopalakrishna, A. Langhoff, G. Brenner, und D. Johannsmann: Soft Viscoelastic Particles in Contact with a Quartz Crystal Microbalance (QCM): A Frequency-Domain Lattice Boltzmann Simulation, Analytical Chemistry, 2021.
  • J. Erbel, A. Trautsch und J. Grabowski: Simulating live cloud adaptations prior to a production deployment using a models at runtime approach, Proceedings of the 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2021), 2021.
  • S. Challita, F. Korte, J. Erbel, F. Zalila, J. Grabowski und Philippe Merle: Model-based cloud resource management with TOSCA and OCCI , Software and Systems Modeling, 2021.
  • D. Honsel, V. Herbold, S. Waack und J. Grabowski: Investigation and prediction of open source software evolution using automated parameter mining for agent-based simulation, Automated Software Engineering Journal, 2021.


  • K. C. Le, S. L. Dang, H.-T. Luu und N Gunkelmann. Thermodynamic dislocation
    theory: Application to bcc-crystals. MSMSE 29(1): 015003, 2020.
  • H.-T. Luu, R. J. Ravelo, M. Rudolph, E. M. Bringa, T. C. Germann, D. Rafaja und N. Gunkelmann, Shock-induced plasticity in nanocrystalline iron:
    Large-scale molecular dynamics simulations, Phys. Rev. B 102, 020102(R), 2020.
  • Y. Rosandi, H.-T. Luu, H. M. Urbassek und N. Gunkelmann, Molecular Dynamics Simulations of the Mechanical Behavior of Alumina Coated Aluminum Nanowires under Tension and Compression, RSC Advances,  10, 1435, 2020.
  • N. Gunkelmann und M. Merkert,  Improved energy minimization of iron carbon systems: On the influence of positioning interstitial atoms, MSMSE 28(4) , 045005, 2020.
  • H.-J. Stromberg, N. Gunkelmann und A. Lohrengel In: Simulation Science, Second International Workshop, SimScience 2019: Communications in Computer and Information Science (CCIS), 1199, 153. Springer, Cham, 2020.
  • S. Hartmann, A. Kheiri Marghzar, R. R. Gilbert, W. Pangboonyanon und D. Meiners: Experiment, modeling and simulation of bypassing holes in composites, Composite Structures 234: 111666, 2020, 1-16.
  • M. Harhash, R. R. Gilbert, S. Hartmann, H. Palkowski: Experimental characterization, analytical and numerical investigations of metal/polymer/metal sandwich composites – Part 2: Free bending, Composite Structures 232:111421, 2020, 1-15.
  • Leistner, C., Hartmann, S., Abliz, D., Ziegmann, G.: Modeling and simulation of the curing process of epoxy resins using finite elements, Continuum Mechanics and Thermodynamics 32, 327–350, 2020.
  • J. Huchtkoetter und A. Reinhardt: On the Impact of Temporal Data Resolution on the Accuracy of Non-Intrusive Load Monitoring, Proceedings of the 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (Buildsys), 2020, 270-273.
  • F. Merz, C. Schwindt, S. Westphal und J. Zimmermann: A Multi-Round Auction for Staff to Job Assignment Under Myopic Best Response Dynamics. IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2020.


  • H.-T. Luu und N. Gunkelmann, Pressure-induced phase transformations in Fe-C: Molecular dynamics approach, Comput. Mater. Sci., 162, 295-303, 2019.
  • N. Gunkelmann, D. Serero, A. Glielmo, M. Montaine, M. Heckel und T. Pöschel, Stochastic Nature of Particle Collisions and its Impact on Granular Material Pro- perties. In Particles in Contact - Micro Mechanics, Micro Process Dynamics and Par- ticle Collective. Ed: S. Antonyuk, Springer International Publishing, 2019.
  • H.-T. Luu, R. G. A. Veiga und N. Gunkelmann, Atomistic Study of the Role of Defects on α --> ε Phase Transformations in Iron under Hydrostatic Compression, Metals 9(10):1040, 2019
  • Gilbert, R. R., Grafenhorst, M., Hartmann, St., Yosibash, Z.: Simulating the temporal change of the active response of arteries by finite elements with high-order time-integrators. Computational Mechanics 64(6), 1669-1684, 2019.
  • Grafenhorst, M., Hartmann, S.: Time-adaptive computations for the mortar finite element method, PAMM Proceedings of Applied Mathetmatics and Mechanics 19, 2019, e201900019, 1-2.
  • J. Huchtkoetter und A. Reinhardt: A Study on the Impact of Data Sampling Rates on Load Signature Event Detection, Energy Informatics, 24, 2019.
  • J. Beecken und A. Reinhardt: How Smooth is my Ride? Detecting Bikeway Conditions from Smartphone Video Streams, Proceedings of the 6th International Workshop on Crowd Assisted Sensing, Pervasive Systems and Communications (CASPer), 65-70, 2019.
  • J. Erbel, T. Brand, H. Giese und J. Grabowski: OCCI-compliant, fully causal-connected architecture runtime models supporting sensor management, Proceedings of the 14th Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2019), 2019.
  • J. Erbel, S. Wittek, J. Grabowski und A. Rausch: Dynamic Management of Multi-Level-Simulation Workflows in the Cloud, Proceedings of the 2nd International Workshop on Simulation Science (SimScience 2019), Springer, Cham, 2019.
  • D. Honsel: Development of Agent-Based Simulation Models for Software Evolution, Promotionen Universität Göttingen, 2019.
  • V. Herbold: Mining Developer Dynamics for Agent-Based Simulation of Software Evolution, Promotionen Universität Göttingen, 2019.


  • N. Gunkelmann, E. M. Bringa und Y. Rosandi, Molecular Dynamics Simulations of Aluminium Foams under Tension: Influence of Oxidation, J. Phys. Chem. C 122, 26243, 2018.
  • J.  Erbel, F. Korte und J. Grabowski: Scheduling Architectures for Scientific Workflows in the Cloud (Position Paper), Proceedings of the 10th System Analysis and Modelling Conference (SAM 2018), 2018.
  • J. Erbel, F. Korte und J. Grabowski: Comparison and Runtime Adaptation of Cloud Application Topologies based on OCCI, Proceedings of the 8th International Conference on Cloud Computing and Services Science (CLOSER 2018), 2018.
  • F. Korte, S. Challita, F. Zalila, P. Merle und J. Grabowski: Model-Driven Configuration Management of Cloud Applications with OCCI, Proceedings of the 8th International Conference on Cloud Computing and Services Science (CLOSER 2018), 2018.


  • A. Herzog: Callcenter – Analyse und Management, Modellierung und Optimierung mit Warteschlangensystemen, Springer/Gabler, Wiesbaden, 2017.
  • P. Ivanovic, H. Richter, Performance Analysis of ivshmem for High-Performance Computing in Virtual Machines, Proc. 2nd International Conference on Virtualization Application and Technology (ICVAT 2017), Shenzhen, China, Nov. 17-19, 2017.
  • J. Erbel: Declarative Cloud Resource Provisioning Using OCCI Models, INFORMATIK 2017, 2017.
  • X. Wang, F. Korte, S. Herbold und J. Grabowski: On the Relatively Small Impact of Deep Dependencies on Cloud Application Reliability, Proceedings of the 10th IEEE International Conference on Cloud Computing, 2017.
  • F. Korte, J. Erbel und J. Grabowski: Model Driven Cloud Orchestration by Combining TOSCA and OCCI (Position Paper), Proceedings of the 7th International Conference on Cloud Computing and Services Science (CLOSER 2017), 2017.
  • F. Korte, A. Bufe, C. Köhler, G. Brenner, J. Grabowski und P. Wieder: Transparent Model-Driven Provisioning of Computing Resources for Numerically Intensive Simulations, Simulation Science, Springer, Cham, 2017.


  • V. Honsel, S. Herbold and Jens Grabowski. Learning from Software Project Histories: Predictive Studies Based on Mining Software Repositories, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD)  2016 - NEKTAR Track.
  • D. Honsel, V. Honsel, M. Welter, S. Waack and Jens Grabowski. Monitoring Software Quality by Means of Simulation Methods, 10th International Symposium on Empirical Software Engineering and Measurement (ESEM), 2016.
  • V. Honsel, S. Herbold and Jens Grabowski. Hidden Markov Models for the Prediction of Developer Involvement Dynamics and Workload, 12th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2016).
  • S. Wittek, M. Göttsche, A. Rausch und J. Grabowski: Towards Multi-Level-Simulation using Dynamic Cloud Environments, Proceedings of the 6th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2016 - 6th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, 2016.


  • V. Honsel, D. Honsel, J. Grabowski and Stephan Waack. Developer Oriented and Quality Assurance Based Simulation of Software Processes, Proceedings of the Seminar Series on Advanced Techniques & Tools for Software Evolution (SATToSE) 2015.
  • V. Honsel, Statistical Learning and Software Mining for Agent Based Simulation of Software Evolution, Doctoral Symposium at the 37th International Conference on Software Engineering (ICSE 2015), Florence, Italy.
  • V. Honsel, D. Honsel, S. Herbold, J. Grabowski and S. Waack; Mining Software Dependency Networks for Agent-Based Simulation of Software Evolution, The 4th International Workshop on Software Mining, 2015.
  • H. Richter, About the Suitability of Clouds in High-Performance Computing, to be published in Proc. ISC Cloud&Big Data, Sept. 28–30, Frankfurt, Germany, 2015.
  • T. Ahlbrecht, J. Dix and F. Schlesinger. From Testing Agent Systems to a Scalable Simulation Platform. In T. Eiter et al. (Eds.): Brewka Festschrift, LNAI 9060, pp. 47-62. Springer International Publishing Switzerland, 2015.
  • H. Richter and A. Keidel and R. Ledyayev, Über die Eignung von Clouds für das Hochleistungsrechnen (HPC), in IfI Technical Report Series ISSN 1860-8477, IfI-15-03, editor: Department of Computer Science, Clausthal University of Technology, Germany, 2015.
  • F. Korte, J. N. Serrano, J. Grabowski und A. Quadt: ATLAS user analysis on private cloud resources at GoeGrid, Journal of Physics: Conference Series, Journal of Physics: Conference Series, Proceedings of the 21st Conference on Computing in High Energy Physics and Nuclear Physics (CHEP), 2015.
  • M. Göttsche, F. Korte, S. Herbold und J. Grabowski: Automated Deployment and Parallel Execution of Legacy Applications in Cloud Environments, The 8th IEEE International Conference on Service Oriented Computing & Applications, The 8th IEEE International Conference on Service Oriented Computing & Applications, 2015.



Post-Proceedings des Clausthal-Göttingen International Workshop on Simulation Science

Die Post-Proceedings des International Workshop Simulation Science erscheinen in der Springer LNCS-Serie CCIS (Communications in Computer and Information Science):