Materials Informatics– category –
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Oak Ridge National Lab Powers Autonomous Science with AI-Operations Synergy
Oak Ridge National Laboratory (ORNL) USA Overview Oak Ridge National Laboratory (ORNL) is actively advancing the future of autonomous science by integrating artificial intelligence (AI) into scientific workflows and operating over 12 sel... -
Foundation Models Uncover Novel High-Pressure Phase Ca6FeNi, Revolutionizing Materials Discovery Workflow
arXiv USA Overview A recent preprint on arXiv introduces a self-consistent foundation model-assisted crystal structure prediction (CSP) workflow that integrates evolutionary search with adaptive data selection and fine-tuning. This innov... -
Berkeley Lab’s EcoBOT: An Autonomous Lab for Reproducible, AI-Driven Bioenergy Discovery
Berkeley Lab USA Overview Researchers at Lawrence Berkeley National Laboratory (Berkeley Lab) have unveiled EcoBOT, an autonomous laboratory designed to overcome long-standing reproducibility issues in plant-microbe interaction research ... -
Labimus: First Benchmark for Dexterous Humanoid Robot Manipulation in Chemical Laboratories Debuts on arXiv
arXiv USA Overview A new preprint on arXiv introduces 'Labimus,' the first benchmark designed to evaluate dexterous manipulation by humanoid robots in chemical laboratories. Labimus aims to bridge the critical gap between current automat... -
MARVEL Project Marks 12 Years: From Quantum Mechanics to AI-Driven Materials Discovery, Reshaping Computational Science
EurekAlert! USA Overview The MARVEL project, celebrating its 12th anniversary, has fundamentally transformed materials discovery by integrating quantum mechanical simulations, advanced computing, and machine learning. Since its 2014 ince... -
Materials Informatics and ML Clustering Accelerate Data-Driven Discovery of Calcium Phosphate Biomaterial Scaffolds
Indonesian Applied Physics Letters (e-Journal UNAIR) Indiaネシア Overview A recent study published in Indonesian Applied Physics Letters demonstrates a novel data-driven approach for discovering calcium phosphate biomaterial scaffolds, i... -
Interpretable 2D Material Design: Dynamic Collision Fingerprint Outperforms Traditional Descriptors
ACS Omega USA Overview A recent comparative study published in ACS Omega investigates various structural representations for 2D materials, highlighting the promising potential of the Dynamic Collision Fingerprint (DCF). The research addr... -
AI-Driven Resilience: Citrine Informatics Fortifies Specialty Chemical Supply Chains Against Disruption
AZoM (Citrine Informatics) USA Overview Citrine Informatics is deploying AI to significantly enhance resilience in specialty chemical manufacturing, offering innovative solutions to mitigate supply chain disruption risks. This AI technol... -
Explainable AI Unlocks Transparent Catalyst Design for Sustainable Technologies
ACS Applied Materials & Interfaces (ACS Publications) USA Overview A new review in ACS Applied Materials & Interfaces highlights the transformative potential of Explainable AI (XAI) in electrocatalysis and photocatalysis. The paper e... -
LLMs Drive Autonomous Research to Boost Material Bandgap Predictions
arXiv USA Overview A recent preprint introduces an autonomous research loop powered by large language models (LLMs) that significantly enhances the optimization of crystal graph networks for electronic bandgap prediction. This self-consi...
