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Agentic Workflows, Frameworks, and Architectures
AI Design and Optimization of Scientific Experiments and Infrastructure
AI for Inverse Design
AI Foundations and Computer Science
AI Surrogates
AI Systems: AI for Scientific Code Development and Optimization
AI-Driven Scientific Workflows
Data Preparation and Pipelines
Domain: Accelerators, Experiments, and Electronic Documents
Domain: Biology-Biochemistry Drugs
Domain: Cancer
Domain: Climate, Environment, Ecology
Domain: Fundamental Physics and Cosmology
Domain: Industrial Design and Manufacturing
Domain: Materials, Chemistry, and Nanoscience
Downstream Instruct-Training and RLHF
Engineering, Energy, and Mechanics
Ethics, Regulation, and Society
Evaluating Scientific Skills and Reasoning
Foundation Graph Models and other Non-LLM Foundation Model Architectures
Infrastructure Design, Management, and Optimization for Large-scale Inference Services
Integrating AI from Edge to HPC
Integration of AI into Scientific Tools for Scientific Experiments and Software Development
Model Checkpoint-Restart
Model Inference Optimization
Multi-Modal Foundation Models
Reasoning Models
Safety and Trustworthiness
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Data, Training, and Fine-Tuning Workflows (DATA)
Model Architectures and Performance Evaluation (MAPE)
Scientific Skills and Safety Evaluation (EVAL)
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Scientific Software Engineering and Optimization Using AI (SOFT)
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HPC Reinvention with AI Services (Inference, Training, etc.) (HPC-AI)
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