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Radical AI Launches AI-Driven Autonomous Lab in NYC, Accelerating Material Development 10x Faster Than Human Pace
The Bulletin (Facebook) USA Overview Materials R&D company Radical AI has launched an AI-driven autonomous laboratory in New York City, where robots synthesize and test materials while AI decides the next experiment, dramatically acc... -
U.S. Department of Energy Leverages AI and Supercomputing for Critical Mineral Recovery from Lithium-Ion Battery Recycling
GovCIO USA Overview The U.S. Department of Energy (DOE) is advancing a project at SLAC National Accelerator Laboratory, led by Stanford University, utilizing an AI agent team to efficiently recover critical minerals like nickel and cobal... -
ArXiv Paper: Closed-Loop Autonomous Perovskite Thin-Film Synthesis Framework Developed Integrating LLMs and Bayesian Optimization, Demonstrates Novel Rb3BiI6
arXiv International Overview A closed-loop framework for automating the synthesis of computationally predicted materials has been introduced. This system integrates Large Language Model (LLM)-driven extraction of synthesis knowledge from... -
DOE Advances AI Innovation Ecosystem, Leveraging Foundation Models for New Battery Electrolyte Research
Department of Energy USA Overview The U.S. Department of Energy (DOE) is actively promoting the AI innovation ecosystem, with a specific focus on advancing foundation models. A team led by materials scientist Vijay Murugesan, in collabor... -
Yale & PNNL Discover Groundbreaking Solid-State Electrolyte N2116, Reducing Lithium Use by 70% with Microsoft AI
Facebook (Yale Engineering) USA Overview Researchers at Yale University and Pacific Northwest National Laboratory (PNNL), in collaboration with Microsoft AI, have discovered N2116, a novel solid-state electrolyte capable of reducing lith... -
CuspAI Completes $450M Series B Funding Co-led by NEA and Kleiner Perkins, Advancing Generative AI Platform ‘MIRA’ for Materials Discovery
New Enterprise Associates (NEA) USA Overview CuspAI, a generative AI platform for materials discovery, completed a $450 million Series B funding round co-led by New Enterprise Associates (NEA) and Kleiner Perkins, with participation from... -
Penn State Scientists Lead Three Genesis Mission Projects with AI to Accelerate 2D Material Manufacturing & Catalytic Performance Prediction
Penn State USA Overview Penn State scientists have received Phase 1 funding from the U.S. Department of Energy's (DOE) Genesis Mission to lead three AI-powered projects. These include accelerating 2D material manufacturing for future ele... -
Johns Hopkins University Secures $20M Grant to Build AI-Driven ‘Self-Driving’ Lab Network for Advanced Materials
Johns Hopkins University USA Overview Engineers at Johns Hopkins University have received a $20 million grant to establish a network of 'self-driving' laboratories guided by AI and robotic tools. This 'AIMD-Net' program will focus on adv... -
Duke-Led Genesis Project Secures DOE Funding to Accelerate DNA-Based Material Design with AI for Next-Gen Energy
Duke University USA Overview A Duke University-led engineering team has secured a Phase 1 grant from the U.S. Department of Energy (DOE) for the Genesis project, aiming to accelerate the design of DNA-based materials for next-generation ... -
University of Florida Team Secures DOE Grant to Develop AI-Driven Platform, Accelerating Discovery of Heat-Resistant Materials for Aerospace and Energy
University of Florida USA Overview A University of Florida-led research team received a DOE Genesis Mission grant to develop an AI-driven platform. This platform integrates electron microscopy, AI, and modeling to significantly accelerat...
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