So far the following speakers are confirmed:

• Benoît Appolaire, University of Lorraine, Nancy (France), LINK
• Thomas Drescher, Volkswagen AG, Wolfsburg  (Germany)
• Peter Vortisch, Karlsruhe Institute of Technology (Germany), LINK

More details

 

Digital transformation concerns the application of digital technology in all aspects of human society. Due to this development, simulation and modeling techniques have become a central activity in many disciplines including natural science, engineering, economy and social sciences.
Simulation-based analysis and engineering techniques are traditionally a research focus of Clausthal University of Technology and University of Göttingen, which is especially reflected in their common interdisciplinary research cluster “Simulation Science Center Clausthal-Göttingen”.
The second “Clausthal-Göttingen International Workshop on Simulation Science” aims to bring together researchers and practitioners from both industry and academia to report on the latest advances in simulation science.

The Book of Abstracts will be published in April 2019.

The workshop considers the broad area of modeling & simulation with a focus on

• Simulation and optimization in networks:
  Public & transportation networks, computer & sensor networks, queuing networks, Internet of Things (IoT) environments, simulation of uncertain optimization problems, simulation of complex stochastic systems
• Simulation of materials:
  Development and applications of computational techniques in material and process simulation, simulation at micro (atomistic), meso and macro (continuum) scales including scale bridging, diffusive, convective transport and chemical processes in materials, simulation of granular matter
• Distributed simulations:
  Technology enabler for distributed simulation (e.g., simulation support for vector and parallel computing architectures, grid-based systems and cloud-based systems), methods for distributed simulation (e.g., agent-based simulation, multi-level simulation, and simulation for big data analytics, fusion and mining), application examples (e.g., simulation-based quality assurance and high-energy physics)