New Technology– category –
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PMC Review: Soft Robots Powered by Sustainable Energy – Potential and Challenges of LCEs and Shape-Memory Alloys Explored
PMC Unknown Overview This review explores thermo-responsive materials like shape-memory materials, liquid crystalline elastomers (LCEs), and hydrogels for soft robotics powered by sustainable energy. While LCEs show potential for signifi... -
LCEs as Artificial Muscles: Compact, Multifunctional Soft Robots Safely Handle Delicate Objects with Electrically Controlled Actuators
Facebook (re-shared from Science Advances content) USA Overview Engineers have developed compact, portable, and multifunctional soft robots using electrically controlled tubular actuators made from liquid crystal elastomers (LCEs). These... -
PMC Proposes Framework to Identify ‘Strategic Advanced Materials’ for Enhanced Supply Chain Resilience and Technological Sovereignty
PMC Unknown Overview This framework proposes defining 'strategic advanced materials' as those offering high performance through locally available inputs to strengthen supply chain resilience and technological sovereignty. It distinguishe... -
arXiv Roadmap: Physics-Informed Generative AI for Autonomous Discovery of Porous Oxide Energy Materials
arXiv Unknown Overview This paper presents a roadmap for advancing generative AI beyond crystal generation towards physics-informed, application-aware, and synthesis-aware inverse design for porous oxide energy materials. It proposes a s... -
MIT Physicists Unravel Coexisting Electron Phases in Quantum Material Erbium Tritelluride, Revealing Reassembly Mechanisms Critical for Superconductivity
MIT News USA Overview MIT physicists have elucidated how two different phases of electron behavior emerge, coexist, and reassemble within the quantum material erbium tritelluride (ErTe3). This study is a crucial step toward a deeper fund... -
Berkeley Lab’s AI Modeling Predicts Solid-State Reactions Rapidly, Drastically Cutting Time-to-Commercialization for New Materials
Berkeley Lab USA Overview Researchers at Berkeley Lab have developed an AI modeling approach that accurately and rapidly predicts how solid-state reactions unfold over time. This first-of-its-kind predictive model accounts for atomic tra... -
UW Researchers Develop Inverse Design Framework: Physics-Based ML Achieves 60% Higher Thermal Conductivity and 10% Cost Reduction for Multifunctional Materials
UW News USA Overview University of Washington (UW) researchers have developed a new 'inverse design framework' that integrates physics-based modeling and machine learning to accelerate the discovery of multifunctional materials. This fra... -
Brewer Science Strengthens U.S. Semiconductor Supply Chain with Acquisition of Heraeus Epurio’s Semiconductor Chemicals Business
Brewer Science, Inc. USA Overview Brewer Science has acquired Heraeus Epurio's semiconductor chemicals business, bolstering its materials science foundation and strategic position in next-generation chipmaking chemistry. The acquisition ... -
MIT Chemists Design Impact-Resistant Plastics: Introducing Weak Bonds Boosts Polystyrene and Rubber Toughness by up to 60%
MIT News USA Overview MIT chemists have developed a novel design strategy that significantly enhances the impact resistance of plastics like polystyrene and rubber. This innovation involves strategically introducing weaker bonds within t... -
Apple Acquires Czech Materials Science Startup PlasmaSolve to Bolster Advanced Manufacturing Capabilities
Dealroom News (via Mondaq) USA Overview Apple has acquired PlasmaSolve, a Czech materials science startup specializing in simulation software for plasma-based production processes. PlasmaSolve's flagship product, MatSight, aids in design...
