[hpc-announce] CFP: ACX @ SupercomputingAsia: Workshop on Advanced Computing and Experimental Sciences

[Wozniak, Justin M.]

                        CALL FOR PAPERS: ACX 2026
                        -------------------------

The 1st Annual Workshop on Advanced Computing and Experimental Sciences

https://acx-2026.cels.anl.gov 

Co-located with SupercomputingAsia, January 26-29, 2026 - Osaka, Japan

Experimental science areas are increasingly adopting advanced computing techniques, across a spectrum of computing needs and levels of integration.  From established institutional computing solutions to highly customized approaches, there is a great opportunity for idea sharing and collaboration.  While diverse scientific areas from experimental physics, observational astronomy, or lab-bench biomedical research often use myriad approaches to computing and automation, there are many common aspects to managing the intersection of experiment and computation.

ACX encourages participation from computing research to advance discovery applied to diverse domains, including but not limited to: materials science, biological and life science, physics, chemistry, environmental science, geophysics, and planetary science.

Advances in machine learning (ML) and artificial intelligence (AI) capabilities are on the verge of causing major transformations in the experimental science process. These changes are driven by improvements in the numerical engines that power ML/AI capabilities, as well as advances in simulations and digital twins used as references by ML/AI services.  Agentic AI is transforming experimental science by autonomously designing, executing, and adapting experiments in real time, accelerating discovery far beyond traditional workflows.  Additionally, progress in automated techniques that integrate advanced computing resources with data management and experiment control systems supports these transformations.

There is much work to do.  Deeper automation in experimental science will hasten the speed of discovery, but many challenges remain.  Automated services that are sufficiently generalized to manage all aspects of the scientific work cycle are not a reality, due to challenges in the complexities of collecting physical data, managing the data lifecycle, actuating computation, and interacting with human users.  Researchers and developers working on many aspects of these problems are invited to participate, see the Topics of Interest below.

We envision the ACX Workshop at SupercomputingAsia to be an exciting forum for the exchange of ideas around this topic, from the presentation of inspiring results in "big science" endeavors, to the "day one" creativity that it takes to bring automation into emerging and potentially transformational experimental approaches.

Topics of Interest
~~~~~~~~~~~~~~~~~~

* New algorithms and approaches for science-focused and science-informed AI
* Agentic AI and new interfaces to and uses of large generalized models
* Systems to integrate rich experimental data with analysis engines
* Automation systems that co-manage computer systems and data collection systems
* Applications that combine human and machine insight
* Programming, parallelization, and workflow systems for scientific data analysis
* Management of scientific data/metadata/provenance
* Simulation calibration, data assimilation, and automatic validation of observed data via digital twins or related approaches
* Coupling large-scale experimental and observational facilities with large-scale computing systems
* Emerging edge technologies for real-time data-driven discovery
* Autonomous experimentation driven by HPC

Important Dates
~~~~~~~~~~~~~~~

* Submissions due:                  October 26,  2025
* Author notification:              November 26, 2025
* Camera-ready version:             December 15, 2025
* Copyright submission:             December 15, 2025
* Workshop @ SCA/HPCAsia:           January 26,  2026

Submission Types
~~~~~~~~~~~~~~~~

Full Papers: ACX is accepting full paper submissions of 8 pages in length.

Short Papers: ACX is accepting short paper submissions of 4 pages in length.

Submission Format
~~~~~~~~~~~~~~~~~

All authors should submit manuscripts for review in a single-column format.  Full paper manuscripts must be 8 pages in PDF format including figures and references, formatted according to the ACM Proceedings Style. Short paper submissions must be 4 pages in PDF format including figures and references, formatted according to the ACM Proceedings Style.  The ACM templates for Word and LaTeX are shown below.  Also, ACM has partnered with Overleaf and the ACM LaTeX template on Overleaf platform is available.  Please follow STEP 1 (Microsoft Word/LaTeX) under The Workflow and Templates in https://urldefense.us/v3/__https://www.acm.org/publications/authors/submissions__;!!G_uCfscf7eWS!f6Apv6YQ8aMrXkqtYR8NJxsoqChK75Q6UziXFCWjSonlLGs7bcUMcPPGu5Cek8wr7zAZrgK39uceg-L_aQ$  .  Please note that there are two different instructions for Word and LaTeX template users.

Submission Link
~~~~~~~~~~~~~~~

Coming soon, check the web site for updates.

Chairs
~~~~~~

Justin M Wozniak (Argonne National Laboratory) <woz at anl.gov>
Nicholas Schwarz (Argonne National Laboratory) <nschwarz at anl.gov>
Hannah Parraga (Argonne National Laboratory) <hparraga at anl.gov>

Contact us at acx-chairs at lists.dsl.anl.gov


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Justin M Wozniak