Materials Informatics– category –
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AI and Graph Neural Networks Drive a Materials Revolution: Gulf University on Property Prediction
Gulf University バーレーン Overview Gulf University research highlights AI's profound impact on materials science, particularly through Graph Neural Networks (GNNs). These models predict material properties directly from atomic structure... -
Citrine Platform and AI Significantly Reduce Graphite Anode Failure Rate via Iterative Experimental Feedback
arXiv Unknown Overview This research demonstrates that the Citrine Platform, utilizing an AI-guided iterative closed-loop workflow, successfully achieved the design and optimization of graphite-based anode formulations, leading to a sign... -
AI and Simulation Transform Materials Design in Europe, Supercharging Green and Digital Transitions
MaX ヨーロッパ Overview Europe is fundamentally reshaping its approach to materials design by integrating simulation and artificial intelligence, significantly bolstering its competitiveness in green and digital transitions. Generative A... -
U.S. Department of Energy and Citrine Informatics Partner to Accelerate New Materials Discovery with AI
Department of Energy USA Overview The U.S. Department of Energy's (DOE) SLAC National Accelerator Laboratory has formed a new public-private partnership with AI-driven materials informatics company Citrine Informatics to explore the futu... -
Top 7 AI Formulation Software Platforms Compared: Schrödinger, Citrine Informatics Accelerate R&D in Materials
ChemCopilot USA Overview ChemCopilot's 2026 'Top 7 AI Formulation Software' report highlights leading platforms like Schrödinger, Citrine Informatics, and Uncountable for accelerating R&D in the chemical and materials industries. The... -
Google DeepMind’s GNoME Predicts Over 2 Million New Crystal Structures, Revolutionizing Chemical Engineering with AI and Autonomous Labs
Medium USA Overview Google DeepMind's GNoME project, utilizing graph neural networks (GNNs), has predicted over 2 million new stable crystal structures, surpassing the total known material catalog accumulated over the past century. This ... -
DOE Advances Physics-Aware AI Framework for Inverse Material Design with Foundation Models and Generative AI
Department of Energy USA Overview The U.S. Department of Energy (DOE) has announced a groundbreaking physics-aware AI framework, integrating foundation models, generative AI, and agentic AI, to enable the inverse design of materials with...
