Closed-loop– tag –
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LLM and MLIP Break Solid Electrolyte Discovery Bottlenecks, AI Closed-Loop Architecture Accelerates Development
arXiv Unknown Overview An innovative approach integrating large language models (LLMs) and machine learning potentials (MLIPs) is proposed to address bottlenecks in solid electrolyte discovery. A closed-loop architecture, combining AI-dr... -
Atinary Technologies Demonstrates Catalyst Optimization and Enhanced Process Safety with AI-Driven Closed-Loop Experiments
Atinary Technologies USA Overview Atinary Technologies has demonstrated a fundamental transformation in R&D processes through closed-loop experiments in self-driving labs, integrating AI, robotics, and human scientific expertise. By ... -
DTU Unveils ‘Self-Driving Lab’: AI and Robotics Slash Materials Discovery from Decades to Days
Mirage News デンマーク Overview The Technical University of Denmark (DTU) has unveiled an innovative 'self-driving lab' where AI and robotic arms autonomously conduct chemical experiments, promising to compress new materials development ... -
OAE Publishing Reveals Interpretable Machine Learning Deciphers Strength-Ductility Trade-off in (CuNiMn)-X Alloys, Streamlining High-Performance Copper Alloy Design
OAE Publishing Inc. China Overview OAE Publishing Inc. has presented an integrated strategy utilizing interpretable machine learning to decipher the strength-ductility trade-off in (CuNiMn)-X alloys, enabling efficient design of high-per... -
LLM Automates Thermal Transport Screening in Co-Cr-Ni Medium-Entropy Alloys, Proving Concept for Autonomous Materials Discovery Workflow
ChemRxiv USA Overview This study presents a reproducible, closed-loop workflow integrating a Large Language Model (LLM) decision module with molecular dynamics simulations to automate thermal transport screening in Co-Cr-Ni medium-entrop... -
Reliability-Gated First-Principles Feedback Framework ‘InvDesMobility’ Accelerates Closed-Loop Materials Discovery with Carrier Mobility Prediction
ResearchGate USA Overview This paper introduces 'InvDesMobility,' a reliability-gated first-principles feedback framework for closed-loop inverse materials design. Focusing on discovering structures based on target functionality, InvDesM... -
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... -
ASCEND Project Launched in Berlin with €30 Million Funding to Revolutionize Catalyst Discovery via AI-Driven Closed-Loop Systems
EurekAlert! Germany Overview The ASCEND project, launched in Berlin with €30 million in funding, aims to usher in a new era of catalyst discovery. This project moves away from traditional trial-and-error by integrating AI models, high-th... -
Kyushu University Pioneers Explainable AI and ChatGPT-Powered ‘Human-in-the-Loop’ for Rapid AEM Material Discovery
九州大学ニュース Japan Overview Researchers at Kyushu University have developed a novel 'Human-in-the-Loop' framework that efficiently synthesizes explainable AI, ChatGPT, and expert human knowledge to accelerate the development of anion... -
Radical AI’s Self-Driving Lab Generates 1,200 Alloys in Six Months, Accelerating Materials Discovery
Latent.Space USA Overview Joseph Krause of Radical AI asserts that 'self-driving labs' are indispensable for materials discovery, surpassing the limitations of 'one-shot' AI. His company's autonomous lab, utilizing a closed-loop system c...
