New Technology– category –

ScienceDaily USA Overview Scientists at Duke University and an international team used a 13-ion quantum simulator to recreate a particle-forming process, effectively simulating matter "popping into existence," linked to the extreme physi...

arXiv USA Overview An arXiv preprint develops strategies for accelerating quantum simulations of materials by transferring variational information between related Hamiltonians. It introduces Augmented Ansatz Reuse for Target Initializati...

arXiv USA Overview An arXiv preprint introduces ElectrolyteFM, a unified multi-property prediction model designed to more accurately predict multiple physicochemical properties of electrolytes by identifying and utilizing both property-s...

ACS Catalysis USA Overview Research in ACS Catalysis details catalyst-state-aware AI agents for designing trajectories in reconstructing 2D electrocatalysts. The study addresses extending inverse design from static candidate structures t...

Department of Chemistry, Yale University USA Overview Researchers from Yale University and Caltech developed a new first-principles computational strategy to accurately predict material-specific Kondo behavior in real metals. This method...

EurekAlert!, WPI-AIMR, Tohoku University, AlphaGalileo Japan Overview Researchers at Tohoku University have introduced the Physics-Grounded Materials AI (PhysMat AI) framework, which integrates fundamental physical knowledge into the mat...

arXiv USA Overview An arXiv preprint reports an AI-guided, human-supervised closed-loop platform enabled the high-throughput discovery of iridium- and ruthenium-free palladium-oxide catalysts for durable acidic oxygen evolution. The plat...

arXiv USA Overview An arXiv paper introduces a morphogenetic graph-generation framework for mechanical lattices, inspired by natural growth processes, enabling inverse design. The framework utilizes a Graph Convolutional Neural Network (...

Lila Sciences USA Overview Lila Sciences utilized an AI-driven, closed-loop laboratory to discover a non-obvious palladium-based catalyst composition for acidic oxygen evolution reaction (OER), a critical bottleneck for green hydrogen pr...

AZoM UK Overview The integration of AI and automation is revolutionizing materials discovery, notably with Google DeepMind's GNoME and Microsoft's MatterGen. GNoME has identified over 10 million novel crystal structures, while MatterGen ...