In conjunction with SC26 · Chicago

AI4S 8th Workshop on Artificial Intelligence and Machine Learning for Scientific Applications

A focused forum for computer scientists, domain researchers, and HPC practitioners advancing trustworthy, scalable, and efficient AI for scientific discovery.

Explore the call for papers Visit the SC26 website ↗
Workshop Sunday, November 15, 2026 9:00 AM–5:30 PM Central Time
Location Chicago, Illinois McCormick Place · SC26
Paper deadline August 8, 2026 11:59 PM Anywhere on Earth
Proceedings SC Workshops Proceedings Peer-reviewed technical papers

Workshop overview

Bridging AI, science, and extreme-scale computing.

AI4S brings together academia, government, and industry to share advances, surface new scientific challenges, and shape the tools and infrastructure needed for AI-enabled scientific workflows on current and future HPC systems.

The workshop will be held in conjunction with SC26: The International Conference for High Performance Computing, Networking, Storage and Analysis, in Chicago, Illinois, from November 15–20, 2026. AI4S will take place on Sunday, November 15, from 9:00 AM to 5:30 PM Central Time.

The workshop’s purpose is to connect computer scientists and domain scientists working across scientific applications; introduce emerging application problems to the broader HPC community; and stimulate practical methods, systems, and infrastructure for applying AI/ML while effectively utilizing extreme-scale computing platforms.

Scientific impact

Accelerating discovery in climate, materials, astrophysics, medicine, engineering, and beyond.

HPC at scale

Training, inference, optimization, and deployment across advanced accelerators and extreme-scale systems.

Trustworthy AI

Reliability, interpretability, reproducibility, robustness, and scientifically meaningful evaluation.

Featured speakers

Perspectives from leaders in AI, science, and HPC.

The invited speaker program will be announced as confirmations are finalized.

Speaker announcements coming soon

Call for papers

Research that advances AI-enabled scientific discovery.

Artificial Intelligence and Machine Learning are transforming scientific discovery—from climate modeling and materials design to astrophysics, drug development, and data-intensive simulation. AI4S focuses on computational learning and machine intelligence that accelerate scientific research while addressing the systems challenges of high-performance computing.

We welcome work on trustworthy integration of AI into scientific workflows, domain-informed learning, scientific foundation models, energy-efficient training, scalable infrastructure, and effective use of emerging accelerators.

Topics include, but are not limited to:

  • Generative AI and foundation models for scientific discovery and scientific workflows
  • Physics-informed, domain-aware, and hybrid AI methods for scientific modeling and simulation
  • AI-based surrogate models and augmentation or replacement of traditional numerical methods
  • Scalable training and inference for scientific AI on large-scale and extreme-scale HPC systems
  • Efficient and sustainable AI, including mixed precision, quantization,sparsity, and energy-efficient computing
  • Performance optimization, data movement, workflow orchestration, and resource management for AI-enabled science
  • Trustworthy scientific AI, including interpretability, uncertainty quantification, robustness, reproducibility, and scientific validation
  • Frameworks, datasets, and benchmarks to support AI for science
  • Compilers, runtimes, and emerging accelerators for AI-enabled applications

Submission guidelines

Authors are invited to submit original, unpublished manuscripts in English as technical papers.

  • 5–8 pages in IEEE two-column format, excluding bibliography
  • U.S. letter size (8.5 × 11 inches)
  • Single-blind peer review
  • Evaluated for correctness, originality, technical strength, significance, presentation quality, and workshop relevance
  • At least one author of each accepted paper must register for and attend the workshop

Use the IEEE conference template ↗. Word authors may use the “Interim Layout.”

Important dates

Plan your AI4S’26 submission.

All deadlines are at 11:59 PM Anywhere on Earth unless otherwise noted.

Submission deadline August 8

2026 · Initial paper submission closes

Author notification September 4

2026 · Acceptance decisions sent

Final papers due September 25

2026 · Camera-ready manuscripts due

Workshop leadership

Organized across academia and national laboratories.

The organizing team combines expertise in AI systems, high-performance computing, and scientific applications.

Peer review

Technical Program Committee

Experts from national laboratories, industry, and universities will review submissions and help shape the AI4S’26 technical program.

  • Kevin J. BarkerPacific Northwest National Laboratory
  • Wesley BrewerOak Ridge National Laboratory
  • Steven FarrellLawrence Berkeley National Laboratory
  • Roberto GioiosaNVIDIA
  • Yao FehlisAMD Research
  • Jiajia LiNorth Carolina State University
  • Shashank SubramanianLawrence Berkeley National Laboratory
  • Junqi YinOak Ridge National Laboratory
  • Renato FigueiredoOregon State University
  • Rio YokotaInstitute of Science Tokyo
  • Bo YuanRutgers University