University of California, Berkeley– tag –
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GitHub’s AI4Science Repository Curates Essential AI Tools, Libraries, and Datasets to Accelerate Scientific Discovery, Including Materials Science
GitHub - ai4s-research/awesome-ai-for-science USA Overview The 'ai4s-research/awesome-ai-for-science' GitHub repository now provides a curated list of AI tools, libraries, papers, datasets, and frameworks designed to accelerate scientifi... -
Applied Materials Achieves Record Q3 2026 Revenue Driven by Unprecedented AI-Fueled Demand for Materials Engineering Solutions
Applied Materials (News Release) USA Overview Applied Materials reported record revenue in Q3 2026, driven by soaring demand for materials engineering solutions fueled by rapid global AI adoption. The company announced three new EPIC Cen... -
Applied Materials Partners with UC Berkeley to Accelerate Commercialization of Advanced Semiconductor Materials for AI Chips
Simply Wall St USA Overview Applied Materials announced the University of California, Berkeley's participation as a research collaborator at its Silicon Valley EPIC Center. This partnership is set to accelerate the commercialization of a... -
Berkeley Lab’s AI Modeling Predicts Solid-State Reactions Rapidly, Drastically Cutting Time-to-Commercialization for New Materials
Berkeley Lab USA Overview Researchers at Berkeley Lab have developed an AI modeling approach that accurately and rapidly predicts how solid-state reactions unfold over time. This first-of-its-kind predictive model accounts for atomic tra... -
Berkeley Lab Accelerates Advanced Materials Development with New AI-Thermodynamics Modeling Approach: Enhancing Solid-Phase Reaction Prediction
Berkeley Lab USA Overview A new modeling framework, leveraging accurate thermodynamics and machine learning, precisely and rapidly predicts a sequence of events in solid-phase reactions, including intermediate compounds, final products, ... -
Berkeley Lab Leads 13 ‘Genesis Mission AI’ Projects to Accelerate Materials Discovery with AI-Driven Autonomous Labs
Lawrence Berkeley National Laboratory USA Overview Lawrence Berkeley National Laboratory (Berkeley Lab) is leading 13 new 'Genesis Mission AI' projects aimed at accelerating materials discovery through AI-driven autonomous labs. These pr... -
Lawrence Berkeley National Laboratory Establishes AI-Accelerated Framework for Optimizing Complex Concentrated Alloys for Extreme Environments through DOE ‘Genesis Mission’
Lawrence Berkeley National Laboratory USA Overview Lawrence Berkeley National Laboratory (LBNL) is establishing an 'Accelerated Alloy Engineering' AI-accelerated framework as part of the U.S. Department of Energy's (DOE) 'Genesis Mission... -
UC Berkeley and LBNL Harness LLMs to Decipher Fundamental Principles of Catalysis, Accelerating Development via Data Standardization and Hypothesis Generation
ACS Publications USA Overview Researchers from UC Berkeley and LBNL published a paper exploring how Large Language Models (LLMs) can contribute to understanding the fundamental principles of catalysis. LLMs integrate performance data, sp... -
Berkeley Lab’s EcoBOT: An Autonomous Lab for Reproducible, AI-Driven Bioenergy Discovery
Berkeley Lab USA Overview Researchers at Lawrence Berkeley National Laboratory (Berkeley Lab) have unveiled EcoBOT, an autonomous laboratory designed to overcome long-standing reproducibility issues in plant-microbe interaction research ... -
U.S. DOE Propels AI Innovation Ecosystem, Empowering Research with Autonomous Laboratories
Department of Energy USA Overview The U.S. Department of Energy (DOE) is fostering a world-leading AI innovation ecosystem by integrating AI across high-performance computing, environmental modeling, and materials research. This includes...
