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#materials-science

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Analysis Jul 5, 2026

Alibaba's Elements Claw Discovers Four New Superconductors

A 1B-parameter foundation model trained on 125M crystal structures screens 2.4M compounds and laboratory-confirms four new superconductors.

Analysis Mar 31, 2026

AI Agent Cracks the Code on Turning CO2 Into Fuel

Tohoku University team uses Catalysis AI Agent to discover universal design principle for copper catalysts that convert carbon dioxide to useful products.

Analysis Mar 31, 2026

AI Framework Predicts Alloy Behavior Even for Elements It's Never Seen

Researchers combine LLM-extracted knowledge with experimental data using Dempster-Shafer theory, achieving 86-92% accuracy on unstudied compositions.

Analysis Mar 26, 2026

THOR AI Solves 100-Year-Old Physics Problem 400x Faster

Los Alamos researchers crack the configurational integral using tensor networks, making materials calculations that took supercomputer hours finish in seconds

Analysis Mar 16, 2026

MIT's DiffSyn Learns 50 Years of Materials Recipes to Help Scientists Make New Ones

A generative AI trained on 23,000 synthesis recipes can suggest how to make materials that have never existed

Analysis Mar 15, 2026

Machine Learning Finds Hidden Signal That Could Accelerate Solid-State Battery Discovery

TUM researchers developed an AI pipeline that predicts Raman spectra to identify superionic materials, potentially cutting years off battery development timelines

Analysis Mar 1, 2026

DOE Launches $10M Agentic AI System to Discover Energy Materials

FORUM-AI will autonomously run experiments, simulations, and validate discoveries across national labs. The AI plans its own research.

Analysis Feb 24, 2026

AI Discovers 25 New Magnetic Materials That Could Replace Rare Earths in EVs

University of New Hampshire researchers built an AI system that read thousands of papers and identified high-temperature magnets for electric vehicles and clean energy.

Analysis Feb 23, 2026

AI Database Identifies 25 Rare-Earth-Free Magnetic Materials

University of New Hampshire researchers used AI to scan 67,000 compounds and find alternatives to rare earth magnets critical for EVs and clean energy.

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