Materials Informatics– category –
-
Explainable ML Predicts Bulk Modulus of High-Entropy Alloys, Accelerating Next-Gen Materials Design
MDPI (Metals) International Overview A novel framework employing an explainable machine learning (ML) system has been introduced to predict the bulk modulus of high-entropy alloys (HEAs) with high accuracy. The Extra Trees algorithm demo... -
Johns Hopkins and Toyota TRI Accelerate Next-Gen Fluoride-Ion Battery Electrolyte Development with AI and Automated Experiments
Johns Hopkins University, Department of Chemical and Biomolecular Engineering USA Overview A joint team from Johns Hopkins University and Toyota Research Institute (TRI) announced a breakthrough approach combining AI and high-throughput ... -
Tokyo University of Science Achieves Platinum Reduction and Enhanced Fuel Cell Efficiency via AI-Driven Catalyst Inverse Design
Science Tokyo Japan Overview Researchers at Tokyo University of Science have developed an innovative AI-driven method for designing highly active and durable catalyst materials. This approach significantly reduces the need for platinum c... -
Aalto University Unlocks Two New Superconductors with AI-Quantum Fusion, Dramatically Accelerating the Quest for Room-Temperature Materials
ScienceDaily (Aalto University) Finland Overview Researchers at Finland's Aalto University have pioneered a novel methodology, seamlessly integrating machine learning with quantum physics, to rapidly identify new room-temperature superco... -
Machine Learning Penetrates Materials Science, Accelerating Autonomous Discovery with LLMs
Google Cloud Vertex AI Search USA Overview A comprehensive review highlights the transformative impact of machine learning, especially Graph Neural Networks, ML Interatomic Potentials, and Large Language Models (LLMs), on materials scien... -
Materials Informatics Weekly Report July 5, 2026
▼ ▼ ▼ If the infographic makes you want to read the full report, please click the download button below. ▼ ▼ ▼ 📄 Weekly Report July 05, 2026 (PDF) — Download Weekly Report July 05, 2026 (PDF) — DownloadDownload 🎙 Podcast July 05, 2026 (... -
Saama Earns ‘AI Breakthrough Award’ for Accelerating Life Sciences with Agentic AI Platform
Saama (AI Breakthrough Awards) USA Overview Saama has been honored with the "AI-based Life Sciences Solution of the Year" at the 2026 AI Breakthrough Awards for its unified AI-driven platform, which significantly accelerates clinical dev... -
ASPIRE Arrives on Hugging Face: Autonomous Skill Discovery System Streamlines Robot Programming
Hugging Face (arXiv paper page) USA Overview A preprint on Hugging Face introduces ASPIRE (Agentic Skill Programming through Iterative Robot Exploration), a continuous learning system that autonomously develops and refines robot control ... -
MatSciFig: A Massive Multimodal Dataset Arrives on arXiv, Unlocking Materials Science’s Visual Record
arXiv USA Overview A newly published preprint on arXiv introduces MatSciFig (Materials Science Figures), a large-scale multimodal dataset extracted from scientific literature. MatSciFig aims to unlock the vast visual record of materials ... -
Bosch Escalates AI Ambitions, Forges Decentralized Web3/AI Ecosystem with Fetch.ai
Bosch Germany Overview The Bosch Center for Artificial Intelligence (BCAI) is significantly escalating its AI initiatives across manufacturing, autonomous driving, and engineering, aiming to bridge the gap between scientific research and...
