AI+ Expo 25
Join PNNL at an exclusive, highly collaborative event where innovation and education are shared on AI and emerging technologies
Washington, DC
The AI+ Expo is hosted by the Special Competitive Studies Project and is designed to highlight U.S. leadership in artificial intelligence (AI) and strengthen U.S. and allied competitiveness in critical technologies, attracting those looking to support the future of AI and build relationships across government, academia, and industry.
Located in the heart of our nation’s capital, the second annual event features keynote speeches, panel discussions, and interactive exhibits focused on demonstrating U.S. leadership in the field of AI.
Pacific Northwest National Laboratory (PNNL) joins other national laboratories in the Department of Energy (DOE) AI Pavilion (Booth #1149) on the expo floor to showcase AI technology that is able to identify subtle changes in growing films that are imperceptible to humans as well as an agentic-AI-developed tool to expedite chemical catalysis discovery.
Advancing the AI Innovation Ecosystem
Experts from across all 17 DOE national laboratories are finding ways to transform science and technology by providing innovation to support DOE’s science, energy, and security missions. Through leading projects like the Center for AI @PNNL and innovations applied across multiple research areas, PNNL provides foundational models, tools, and applications for the advances that DOE offers the nation and more.
Featured PNNL Presentations at AI+ Expo 25
ACCORD: AI Co-Scientist to Expedite Chemistry Catalysis Research
June 3, 2025, 12:45–1:15 P.M. ET
Location: DOE AI Pavilion #1149
PNNL Presenter: Robert Rallo, Director of Program Development Office (Acting) | Physical and Computational Sciences Directorate
Join Robert Rallo for an insightful talk on how a new AI-powered agent-based platform integrates various AI models to expedite chemical discovery, particularly in catalysis, making research more efficient and vastly increasing the pace of innovation. This innovative platform, described as a “co-scientist,” empowers researchers to simulate and explore 3-D molecular structures, analyze data, and translate validation protocols into actionable instructions for robotic laboratory equipment, enhancing both the speed and precision of experiments. Don’t miss this opportunity to learn how new technology is reshaping the future of scientific exploration.
DEMO: RHAAPsody: AI-Enabled Automation of Precision Material Synthesis
June 2, 2025, 11:00–11:30 A.M. ET
Location: DOE AI Pavilion #1149 – demo station
PNNL Presenter: Dan Schreiber, Materials Scientist, Materials Dynamics
Description: Learn how PNNL researchers use AI tools to accelerate materials science experiments, ultimately speeding up the design of next-generation materials. Adaptive Tunability for Synthesis and Control via Autonomous Learning on Edge (AT SCALE) focuses on developing autonomous experimentation and machine learning methods to more quickly create high-quality thin films, critical for electronics and devices. By integrating real-time, AI-driven analysis and decision-making with material synthesis platforms, the system can rapidly optimize fabrication processes and resulting material properties. This approach significantly reduces the time and cost of material synthesis and development without human intervention.
DEMO: ACCORD: a Chemistry Catalysis AI Agent – Expediting Science Discovery
June 3, 2025, 2:15–2:45 P.M. ET
Location: DOE AI Pavilion #1149 – demo station
PNNL Presenter: Robert Rallo, Director of Program Development Office (Acting) | Physical and Computational Sciences Directorate
Discover how PNNL-developed AI agents are integrating multiple inputs and outputs to complete a series of complex activities, helping to accelerate innovation in catalysis. By using this “co-scientist” to access visualizations of 3-D molecular structures, run simulations, and automatically generate computer code for data analysis, scientists can refine and evolve their own hypotheses in record time. The demo will dive into the capabilities and outputs of the tool.
If you would like to learn more about career opportunities in AI at PNNL, please visit our careers page.
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