TPC26 brings researchers from around the world together to collaborate and advance developments in AI. Argonne researchers have contributed to planning and programming this year’s event.
The TPC26 logo. (Image by tpc.dev.)
Researchers from the U.S. Department of Energy’s Argonne National Laboratory will attend TPC26 from May 31 to June 3 in Baltimore, MD.
Started in 2025 by the Trillion Parameter Consortium, a global initiative that connects experts working across the fields of AI and HPC, this conference offers attendees the chance to collaborate with their peers, share findings, and identify potential partners for future research.
Under Secretary for Science at the U.S. Department of Energy, Dario Gil, will also be in attendance, providing the opening plenary session, Reshaping Discovery: AI, the Genesis Mission, and a New Era for Science.
View the full schedule or explore Argonne’s contributions below.
Monday, June 1
Strategies for International Collaboration Among National and Regional Initiatives
Monday, June 1, 2:00 p.m. (EDT)
Rick Stevens
Agentic Science and the DOE Genesis Mission
Monday, June 1, 4:30 p.m. (EDT)
Rick Stevens
Tuesday, June 2
Scaling from Parameters to Processes: Why Agents Matter for Trillion-Parameter AI
Tuesday, June 2, 8:30 a.m. (EDT)
Ian Foster
AI for Material Sciences: Session 1
Tuesday, June 2, 2:00 p.m. (EDT)
Eliu Huerta
MoE-Inference-Bench Performance Evaluation of Mixture of Expert Large Language and Vision Models
Tuesday, June 2, 2:00 p.m. (EDT)
Murali Emani
Filling Gaps in the OpenClaw Framework
Tuesday, June 2, 2:00 p.m. (EDT)
Charlie Catlett
BOF: Trustworthy Privacy-Preserved Federated Learning For Science
Tuesday, June 2, 2:00 p.m. (EDT)
Kibaek Kim
Ravi Madduri
Scalable Cross-Facility Federated Learning for Scientific Foundation Models on Multiple Supercomputers
Tuesday, June 2, 2:00 p.m. (EDT)
Yijiang Li
Evaluation of LLMs for Science: Session 1
Tuesday, June 2, 2:00 p.m. (EDT)
Franck Cappello
Sandeep Madireddy
BOF: AI Agents As Scientific Collaborators: Building Human-Agent Research Teams
Tuesday, June 2, 2:00 p.m. (EDT)
Charlie Catlett
Rick Stevens
BOF: Safety and Alignment in Agentic Systems
Tuesday, June 2, 4:00 p.m. (EDT)
Charlie Catlett
The Need for New Safety Measures for LLMs in Scientific Applications
Tuesday, June 2, 4:00 p.m. (EDT)
Saket Chaturvec
AI for Material Sciences: Session 2
Tuesday, June 2, 4:00 p.m. (EDT)
Eliu Huerta
Evaluation of LLMs for Science: Session 2
Tuesday, June 2, 4:00 p.m. (EDT)
Franck Cappello
Sandeep Madireddy
Wednesday, June 3
GridAI Model Team
Wednesday, June 3, 8:30 a.m. (EDT)
Kibaek Kim
GridMind: An Agentic Workflow for Weather-Driven Power Grid Risk Assessment
Wednesday, June 3, 8:30 a.m. (EDT)
Hongwei Jin
Scaling Laws for Heterogeneous Graph Learning in Optimal Power Flow Applications
Wednesday, June 3, 8:30 a.m. (EDT)
Emon Dey
BOF: Who Builds the Future? Workforce Challenges in Trillion-Parameter Scientific Computing
Wednesday, June 3, 8:30 a.m. (EDT)
Lois Curfman McInnes
Designing Scientific Computing Ecosystems for the AI Era
Wednesday, June 3, 8:30 a.m. (EDT)
Lois Curfman McInnes
BOF: Self-Driving Labs for Accelerating Scientific Discovery at Scale
Wednesday, June 3, 8:30 a.m. (EDT)
Arvind Ramanathan
Toward Scientific AI Platforms: Inference, Agents, and AI Services at HPC Facilities: Session 1
Wednesday, June 3, 8:30 a.m. (EDT)
Venkatram Vishwanath
DWARF: Data Workflows, Agents Reasoning, and Frameworks
Wednesday, June 3, 8:30 a.m. (EDT)
Robert Underwood
Ian Foster
Best Practices for Scientific Workflows
Wednesday, June 3, 8:30 a.m. (EDT)
Robert Underwood
Enabling Autonomous Scientific Discovery Through Agentic AI and High-Performance Computing
Wednesday, June 3, 8:30 a.m. (EDT)
Murat Keçeli
Building Reusable and Trustworthy AI Co-Scientist
Wednesday, June 3, 8:30 a.m. (EDT)
Chandrachur Bhattacharya
Model Architectures and Performance Evaluation: Session 1
Wednesday, June 3, 11:00 a.m. (EDT)
Murali Emani
BOF: Bio-Foundation Models, Agentic Systems, And Biosecurity
Wednesday, June 3, 11:00 a.m. (EDT)
Arvind Ramanathan
Scalable Agentic Reasoning for Designing Biologics Targeting Intrinsically Disordered Proteins
Wednesday, June 3, 11:00 a.m. (EDT)
Archit Vasan
Toward Scientific AI Platforms: Inference, Agents, and AI Services at HPC Facilities: Session 2
Wednesday, June 3, 11:00 a.m. (EDT)
Venkatram Vishwanath
Reports from the Field: TPC Collaborations
Wednesday, June 3, 12:30 p.m. (EDT)
Arvind Ramanathan
AI and Strategic Decision Support
Wednesday, June 3, 2:00 p.m. (EDT)
Frank Alexander
Model Architectures and Performance Evaluation: Session 2
Wednesday, June 3, 2:00 p.m. (EDT)
Murali Emani
Emerging Scientific Drivers for Frontier AI
Wednesday, June 3, 4:00 p.m. (EDT)
Valerie Taylor
AI-Based Scientific Hypothesis Generation
Wednesday, June 3, 4:00 p.m. (EDT)
Franck Cappello