Materials Informatics– category –
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NVIDIA Unveils ALCHEMI NIM Microservices to Significantly Accelerate Chemistry and Materials Science Discoveries with New AI Software
NVIDIA News USA Overview NVIDIA has introduced new AI software, including ALCHEMI NIM microservices, poised to significantly accelerate scientific discovery in chemistry and materials. ALCHEMI specifically targets batched geometry relaxa... -
Argonne National Lab Launches $2.77 Million ‘Accelerated Catalyst Design Foundry’ to Hasten Catalyst Discovery with AI and Automation
Lab Manager USA Overview Argonne National Laboratory is spearheading the $2.77 million 'Accelerated Catalyst Design Foundry' project, integrating AI, automation, and advanced experimental workflows to significantly accelerate catalyst di... -
Hugging Face Spotlights CrystalCLR and CHGNet for Enhanced Materials Property Prediction via Machine Learning
Hugging Face USA Overview Hugging Face highlights significant advancements in materials property prediction with the CrystalCLR framework and CHGNet machine learning interatomic potential. CrystalCLR improves material representations thr... -
Tokyo Institute of Science Unveils Explainable AI Leveraging ALIGNN and Hierarchical Clustering for High-Accuracy Optical Spectra Prediction in Materials
HyperAI (via Google News) Japan Overview Researchers at the Tokyo Institute of Science have significantly enhanced the interpretability of AI-driven materials predictions by combining the ALIGNN graph neural network with hierarchical clu... -
AI Model Accurately Locates Missing Hydrogen Atoms in Crystal Structures, Enhancing Materials Simulation Precision
Chemistry World (Royal Society of Chemistry) UK Overview Researchers have developed an AI model that accurately places missing hydrogen atoms within inorganic crystal structures, a long-standing challenge for traditional X-ray diffractio... -
AI Drives Rapid Design and Modeling of Organic Electrochemical Energy Materials for Advanced Batteries
ChemRxiv USA Overview Artificial intelligence is dramatically transforming the computational design and modeling of organic electrochemical energy materials (OEEMs) through data-driven property prediction, machine learning interatomic po... -
Materials Informatics Weekly Report May 20, 2026
▼ ▼ ▼ If you found the infographic compelling and want to read the full Weekly Report, click below to download the Strategy Report. ▼ ▼ ▼ 📄 Materials Informatics Weekly Report — June 20, 2026 MaterialsInformatics_WeeklyReport_EN_2026062... -
Schubert Group Unveils AI-Powered Platform for Rapid Polymer Discovery at AI4X 2026
不明 Germany Overview At the AI4X Conference 2026 in Singapore, the Schubert Group presented groundbreaking advancements in AI-driven polymer research, demonstrating a significant acceleration in the discovery of new functional macromate... -
Purdue University Seeks Postdoctoral Researchers in Computational Materials Design and Materials Informatics, Bolstering DFT and MLIPs Research
ApplyKite USA Overview Purdue University has announced a postdoctoral researcher opening in computational materials design and materials informatics. This strategic hire targets researchers with strong expertise in atomistic simulation m... -
AtomGPT.org Launches Open-Access Agentic AI Platform ‘AGAPI-Agents’ to Accelerate Materials Design
The Journal of Physical Chemistry Letters USA Overview AtomGPT.org has launched 'AGAPI-Agents,' an open-access agentic AI platform integrating open-source Large Language Models (LLMs) with scientific tools and databases for accelerated m...
