Materials Informatics– category –
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AI-Driven Hyperdynamics Method Revolutionizes Atomic Event Simulation for Material Durability and Aging Research
Nature Communications Unknown Overview A novel machine learning-based hyperdynamics method dramatically accelerates atomic motion simulations, transforming computational materials discovery. This automated approach for developing interat... -
AI Accelerates Material Discovery: Novel GNN Model Generates Electronic Fingerprints for High-Throughput Catalyst & Battery Research
Facebook USA Overview A novel Graph Neural Network (GNN) model has been developed to rapidly generate electronic fingerprints, significantly accelerating the discovery of new materials for catalysts and batteries at a fraction of previou... -
AI-Powered Autonomous Labs Face Bottleneck: Hypothesis Generation Outpaces Physical Validation
vertexaisearch.cloud.google.com Unknown Overview Autonomous laboratories, integrating robotics, high-throughput experiments, and AI, are revolutionizing scientific discovery by enabling continuous, adaptive learning cycles. While these s... -
Lawrence Berkeley National Laboratory Unveils Quantum Accuracy Scale Transition from DFT to MLIP and Plans for Two Autonomous Labs at 2026 Annual Meeting
Lawrence Berkeley National Laboratory USA Overview Lawrence Berkeley National Laboratory's Molecular Foundry highlighted the quantum accuracy scale transition from DFT to MLIP in a keynote at its 2026 Annual Meeting. They also announced ... -
Schrödinger Launches AI Co-Scientist ‘Bunsen’ for Molecular Discovery; Yale Unveils ‘MOSAIC’ AI for Novel Chemical Synthesis Pathways
Facebook USA Overview Schrödinger has announced 'Bunsen,' an AI co-scientist designed to accelerate molecular discovery, supporting lead compound optimization and novel molecular design in drug development. Concurrently, Yale University ... -
DeepH-pack Unites Ab Initio Calculations and Deep Learning to Accelerate AI-Driven Electronic Structure Modeling
Facebook (reposting about DeepH-pack) USA Overview DeepH-pack has been introduced as a general-purpose neural network package that combines ab initio calculations with deep learning to accelerate electronic structure modeling. This tool ... -
AI Discovers High-Temperature Stable Lead-Free Dielectric Materials Using Multimodal Literature Mining and Physics-Based ML
Facebook USA Overview Researchers leveraged artificial intelligence (AI) to discover novel lead-free dielectric materials with high-temperature stability. The study employed a reverse design approach combining multimodal literature minin... -
FSU Alumnus Launches AI Company FindWhatMatters.ai to Revolutionize Physics Research with AI-Driven Data Analysis and Material Discovery
Facebook USA Overview An alumnus of Florida State University (FSU) has launched FindWhatMatters.ai, an AI company aiming to accelerate scientific discovery in physics research through AI integration. The company focuses on maximizing AI'... -
IIT Madras Develops World’s Largest Open Database of Advanced Alloys with AI-Driven Prediction, Revolutionizing HEA Discovery
Facebook (reposting content about IIT Madras) India Overview IIT Madras in India has developed the world's largest open database of advanced alloys for sustainable materials research, powered by an AI-driven prediction system. This innov... -
AI Revolutionizes Digital Discovery of MOFs: Integrating Computational Modeling and High-Throughput Screening to Slash Development Times
ACS Publications USA Overview Artificial intelligence (AI) and machine learning are revolutionizing the discovery and optimization of metal-organic framework (MOF)-based multifunctional materials. AI enables rapid exploration of MOFs' va...
