[hpc-announce] CFP Dealine Extension - MMCP'26 Workshop at SCA/HPC Asia 2026

[Neda.EbrahimiPour at dlr.de]

**Submission deadline: 9 November, 2025 (extended)**

Workshop on Multi-scale, Multi-physics, Coupled Problems and AI enhanced
simulations on HPC (MMCP) at HPC Asia 2026 in conjunction with SCA 2026, 
January 26 - 29, 2026, Osaka, Japan

The objective of this workshop is to provide a forum for the presentation
and discussion of advanced numerical simulation techniques for complex
multi-scale, multi-physics, coupled problems and AI enhanced simulations on
high-performance computing (HPC) systems.

The focus of the workshop will be on computational issues regarding
performance and suitability for high-performance computing. Furthermore, the
underlying strategies 
to enable large simulations will be highlighted. Keeping these aims in mind,
contributions from all aspects of engineering applications will be
considered. Topics of applications 
will include (but are not limited to):

- AI models for simulation prediction
- AI based parameter modelling
- Provenance of machine learning/deep learning algorithms on HPC systems
- Multi-scale problems
- Multi-physics problems
- Molecular Dynamics
- Multi-Domain/Concurrency
- Multi-scale and/or multi-physics modelling for biomedical or biological
systems
- Novel approaches to combine different scales and physics models in one
problem solution
- Challenging applications in industry and academia, e.g. turbulence and
multiphase flows, 
  fluid-structure interactions, chemical engineering, material science,
biophysics, automotive and aerospace industry, 

- AI based load balancing modelling
- Load balancing
- Adaptivity
- Heterogeneous architectures
- New algorithms for parallel-distributed computing, specific to this topic.

**Important dates**
Submission deadline: 9 November 2025 (extended)
Notification of Acceptance: 8 December 2025
Camera-ready paper: 15 December 2025
Conference date: 26 – 29 January 2026

More information about this workshop and the submission procedure can be
found on our webpage: 
https://www.dlr.de/en/sp/latest/events/workshop-multi-scale-multi-physics-co
upled-problems-and-ai-enhanced-simulations-on-hpc-mmcp-1 

If you have further questions, do not hesitate to contact us. 
 
We look forward to your contribution!

Organizers/Chairs 
Neda Ebrahimi Pour
Sabine Roller
Ryoji Takaki

____________________________________________
German Aerospace Center (DLR)
Institute of Software Methods for Product Virtualization
Visitor address: Nöthnitzer Straße 46b | 01187 Dresden | Germany
Postal address: DLR c/o Technische Universität Dresden | Helmholtzstraße 10
| 01069 Dresden
 
Dr. Neda Ebrahimi Pour
Phone +49 351 210
718150  | mailto:neda.ebrahimipour at dlr.de | http://www.DLR.de