Materials Informatics– category –
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University of Florida Team Secures DOE Grant to Develop AI-Driven Platform, Accelerating Discovery of Heat-Resistant Materials for Aerospace and Energy
University of Florida USA Overview A University of Florida-led research team received a DOE Genesis Mission grant to develop an AI-driven platform. This platform integrates electron microscopy, AI, and modeling to significantly accelerat... -
UC Berkeley and LBNL Harness LLMs to Decipher Fundamental Principles of Catalysis, Accelerating Development via Data Standardization and Hypothesis Generation
ACS Publications USA Overview Researchers from UC Berkeley and LBNL published a paper exploring how Large Language Models (LLMs) can contribute to understanding the fundamental principles of catalysis. LLMs integrate performance data, sp... -
Meta FAIR and Stanford Researchers Successfully Fine-Tune UMA Model for High-Precision Simulation of WS2 Oxygen Plasma Interactions
arXiv USA Overview Researchers from Meta FAIR and Stanford University successfully fine-tuned the UMA universal machine-learned interatomic potential (MLIP) model specifically for oxygen plasma interactions with WS2. This study addresses... -
Duke University Team Secures DOE Funding for AI Platform to Design DNA-Based Energy Materials
Duke University USA Overview A Duke University research team has received funding from the DOE's Genesis Project to develop an AI platform for designing DNA-based materials. This AI framework automatically designs DNA origami building bl... -
Chinese Researchers Review Innovations in Sodium-Ion Battery Electrolyte and Electrode Materials, Advancing Rational Design with AI
MDPI China Overview This paper reviews innovations in electrolyte and electrode materials and interface construction strategies for Sodium-Ion Batteries (SIBs) to enhance performance. It emphasizes that combining theoretical calculations... -
Schrödinger Reports 46% Revenue Jump and First Recurring Platform Contracts, Validating AI-Driven Molecular Discovery Pivot
Morningstar USA Overview AI biotechnology firm Schrödinger announced a 46% year-over-year revenue increase for fiscal year 2026, alongside securing its first recurring platform contracts. This growth signifies the successful execution of... -
Tohoku University Pioneers AI-Powered Closed-Loop System for Rapid Clean Energy Material Discovery
Tohoku University Japan Overview Researchers at Tohoku University have developed an innovative 'closed-loop' system integrating AI models, autonomous experimentation, and continuous feedback into a unified research platform. This framewo... -
LLNL Pioneers New Electrolyte Design for Sodium and Lithium Batteries, Boosting Performance and Thermal Stability with AI and Molecular Simulations
Commonwealth Union USA Overview Scientists at Lawrence Livermore National Laboratory (LLNL) have integrated molecular dynamics simulations with physics-informed machine learning to yield groundbreaking insights into electrolyte design fo... -
CuspAI Secures $450M Series B, Reaching $2.6B Valuation and Launching AI Materials Foundry with Industry Titans
Sifted UK Overview Cambridge-based AI materials discovery startup CuspAI has raised $450 million in Series B funding, pushing its valuation to $2.6 billion. Concurrently, the company launched the "AI Materials Foundry," a global consorti... -
Chinese Researchers Review AI-Driven Electrolyte Chemistry: Mechanisms, Progress, and Strategic Perspectives for Lithium-Ion Battery Design Revolution
Energy & Environmental Science China Overview This review paper details the transformative role of AI in designing next-generation electrolytes for lithium-ion batteries (LIBs). AI integrates experimental data, quantum chemical descripto...
