Conference Description
The AI for Materials, Energy, and Chemical Sciences GRC is a premier, international scientific conference focused on advancing the frontiers of science through the presentation of cutting-edge and unpublished research, prioritizing time for discussion after each talk and fostering informal interactions among scientists of all career stages. The conference program includes an array of speakers and discussion leaders from institutions and organizations worldwide, concentrating on the latest developments in the field. The conference is five days long and held in a remote location to increase the sense of camaraderie and create scientific communities, with lasting collaborations and friendships. In addition to premier talks, the conference has designated time for poster sessions from individuals of all career stages, and afternoon free time and communal meals allow for informal networking opportunities with leaders in the field.
The 2026 GRC AIMECS, themed Autonomous Discovery Across Scales, will bring together researchers and innovators from academia, industry, national labs, and government agencies to explore AI’s role in advancing materials, energy, and chemical sciences. Featuring a diverse roster of speakers and discussion leaders from around the world, the program fosters rigorous scientific dialogue and collaboration through talks, posters, and dynamic discussions. Sessions will highlight advances in automation & robotics, molecular and materials discovery, process optimization, and digital infrastructures that drive autonomous innovation and scalable low-carbon solutions. By bringing together diverse expertise, AIMECS 2026 will accelerate AI-driven breakthroughs that transform discovery and deployment in materials, energy, and chemical sciences.
The topics, speakers, and discussion leaders for the conference sessions are displayed below. The conference chair is currently developing their detailed program, which will include the complete meeting schedule, as well as the talk titles for all speakers. The detailed program will be available by October 4, 2025. Please check back for updates.
Keynote Session: Building Foundations for Autonomous Research
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Data Infrastructure and AI Ecosystems for Discovery
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Foundation Models for Atomic-Scale Insights and Beyond
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Automation and Robotics for Autonomous Experimentation
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AI for Molecular Discovery and Optimization
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AI for Materials Discovery and Optimization
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AI for Sustainable Energy and Low-Carbon Solutions
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AI for Process Optimization and Scale-Up
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Keynote Session: Integrating Intelligence and Infrastructure for Scientific Acceleration
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