Machine Learning– tag –
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AI & Machine Learning Weekly Report September 6, 2026
▼ ▼ ▼ If the infographic makes you want to read the full report, please click the download button below. ▼ ▼ ▼ 📄 Weekly Report September 06, 2026 (PDF) — Download Weekly Report September 06, 2026 (PDF) — DownloadDownload 🎙 Podcast Septe... -
University of Amsterdam Drastically Accelerates Heat Storage Material Discovery with Machine Learning, Rapidly Identifying Promising Salt Hydrates for Thermochemical Storage
University of Amsterdam Netherlands Overview University of Amsterdam scientists have developed a new machine learning approach that significantly accelerates the discovery of heat storage materials. This method requires only the chemical... -
Royal Society of Chemistry Review: AI Accelerates Nanomaterial Design, Synthesis, and Characterization, Boosting Synthesis Efficiency with Closed-Loop Experimentation
The Royal Society of Chemistry UK Overview A Royal Society of Chemistry review highlights how AI integration is revolutionizing nanomaterial science, accelerating discovery, design, synthesis, and characterization. Machine learning, deep... -
Asia Research News Explains AI-Driven Polymer Material Discovery Framework, Promoting Data-Driven Innovation
Asia Research News Singapore Overview Asia Research News presented an AI-driven framework for polymer material discovery, detailing a hierarchically integrated workflow foundational to data-driven polymer innovation. Starting with a poly... -
UAE Powers Strategic Industries with AI-Driven Materials Discovery Acceleration
The National News UAE Overview The United Arab Emirates is making significant strategic investments in AI infrastructure to revolutionize materials discovery, shifting from laborious trial-and-error to rapid, prediction-based approaches.... -
University of Washington Develops Self-Healing Polymer Library ‘DPAL’ with Machine Learning, Accelerating Materials Design
EurekAlert! USA Overview University of Washington researchers have developed a novel machine learning approach to accelerate polymer material design and discovery. They created the "Dynamic Polymer Annotated Library (DPAL)" with self-hea... -
X2DB: Unifying Experimental and Computational 2D Materials Data to Accelerate AI-Driven Discovery
DTU Research Database Denmark Overview A new open infrastructure, X2DB, has been established to integrate experimental and computational data for 2D materials on a massive scale, centralizing previously dispersed knowledge. This robust d... -
Argonne National Laboratory Accelerates AI-Driven Materials Discovery: 18 Promising Battery Candidates Identified from 500,000 Materials in 80 Hours
Facebook (Argonne National Laboratory) USA Overview Argonne National Laboratory dramatically accelerated materials discovery using an AI-driven method, identifying 18 promising battery development candidates from 500,000 stable materials... -
Machine Learning Accelerates Discovery of Phase-Stable Formamidinium-Based Perovskites with Automated Synthesis Platform
Energy & Environmental Science, The Royal Society of Chemistry UK Overview This study demonstrated that machine learning (ML) prediction can accelerate the discovery of phase-stable formamidinium-based perovskites. By leveraging datasets... -
Machine Learning Revolutionizes Magnetic Functional Alloy Design: Generative GNNs and High-Throughput DFT Discover 2D Magnets
AIP Advances USA Overview This article details recent advancements in the design of magnetic functional alloys (MFAs) leveraging machine learning (ML), highlighting how ML has contributed to the design of magnetocaloric, magnetostrictive...
