The 1st Annual Workshop on
Advanced Computing and Experimental Sciences

Experimental science areas are increasingly adopting advanced computing techniques, across a spectrum of computing needs and levels of integration.  Across the spectrum 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.  

The workshop will be held in conjunction with SCA/HPCAsia 2026 located in Osaka, Japan January 26-29, 2026.

ACX accepted papers will be published with ACM conference publishing services.

You can subscribe to the ACX announcements mailing list.

Contact us at [email protected]