August 2026– date –
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Discovery Alert Announces AI Discovery of Porous Oxide Materials for Next-Generation Energy Storage
Discovery Alert Australia Overview AI has discovered porous oxide materials for next-generation energy storage, emerging as a critical solution to electrode chemistry challenges. Researchers at NJIT and RPI identified five previously unr... -
Scilight Press Publishes Review on AI-Driven Rational Design of Solid-State Electrolytes: Paving the Way for Next-Gen Batteries
Scilight Press Unknown Overview Scilight Press published a review paper on AI's role in advancing the rational design of solid-state electrolytes (SSEs) for high energy density and safety in next-generation rechargeable batteries. The pa... -
CataCon Introduces Contrastive Graph Representation Learning for Catalyst Prediction, Accelerating Optimal Catalyst Identification via AI
PMC USA Overview This research introduces 'CataCon,' a novel contrastive graph representation learning framework designed to predict optimal catalysts for chemical reactions. CataCon generates rich structural embeddings for all reaction ... -
IIT KANPUR Elucidates Material Structure-Property Relationships with Computational Materials Science: Leveraging DFT, MD/MC, and PFM
MSE | IIT KANPUR India Overview IIT KANPUR emphasizes computational materials science as a powerful toolkit for solving material-related problems, citing Density Functional Theory (DFT) at the electronic level, Molecular Dynamics (MD) an... -
Silicon Quantum Computing Achieves ‘Quantum Twins’ with 15,000 Qubit 2D Array on Pure Silicon
Falling Walls Science Summit Germany Overview Michelle Simmons' Silicon Quantum Computing (SQC) demonstrated the world's first 2D array quantum simulator with 15,000 precisely placed qubit registers on pure silicon. This breakthrough ena... -
Quantum Computing Reshapes Aircraft Design and Materials Science: Airbus and Rolls-Royce Embrace Technology for Unprecedented Simulation Results
TechJournal.uk UK Overview Quantum computing is fundamentally reshaping aircraft design and materials science, yielding superior results unattainable by classical software, particularly in engineering simulations. Airbus is exploring qua... -
AI Sales Startup Emanate Specializes in Complex Industrial Materials Sales, Differentiating from General-Purpose AI
Fast Company USA Overview AI startup Emanate is developing specialized AI tools for complex sales transactions in the industrial materials sector. The company's strategy is a clear bet that the industrial materials market, dealing with r... -
IBM and Algorithmiq Demonstrate Quantum Advantage in Materials Simulation Beyond Classical Verification, Leveraging QESEM on Quantum Heron
IBM Newsroom USA Overview IBM and Algorithmiq demonstrated quantum advantage in simulating heterogeneous quantum materials using a new framework that establishes trust in quantum computations beyond classical verification. This breakthro... -
DOE Basic Energy Sciences Supports Software Development for New Materials and Chemical Processes Towards Next-Gen Exascale Computing
Department of Energy (DOE) USA Overview The U.S. Department of Energy's (DOE) Basic Energy Sciences (BES) division is supporting research teams developing software and databases to accelerate the design of new materials and chemical proc... -
UW Research Accelerates Multifunctional Materials Discovery with AI Inverse Design Framework: Achieving 60% Thermal Conductivity Improvement and 10% Cost Reduction
Mechanical Engineering | University of Washington USA Overview Researchers at the University of Washington (UW) developed a novel 'inverse design framework' combining physics-based modeling and machine learning, accelerating the discover...
