The borate‐based cobalt‐iron catalyst promotes selective oxidation of water rather than chlorine evolution reaction during electrolysis of seawater. When integrated into a zero‐gap electrolyzer prototype, this catalyst supports robust splitting of artificial seawater into oxygen and hydrogen on an extended timescale.
Ananta R. Fareza +10 more
wiley +1 more source
AI based optimization of injection pressure for hydrogen and spirogyra biodiesel dual fuel engine to enhance combustion performance and emission characteristics. [PDF]
Aravind S +5 more
europepmc +1 more source
Flexible Memory: Progress, Challenges, and Opportunities
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan +5 more
wiley +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Low‐Temperature Reverse Water–Gas Shift Enabled by Magnetically Induced Catalysis
Magnetically induced catalysis using standard Cu–Al spinel‐derived catalyst functionalized with carbon‐coated iron nanoparticles enables high CO yield (up to 62%) at mild catalyst and reactor temperatures (estimated at 300°C and determined as 25–123°C, respectively).
Junhui Hu +12 more
wiley +2 more sources
NOx/N<sub>2</sub>O Formation and Coordinated Urea-SCR Control in an Ultra-Lean Hydrogen-Fueled Automotive SI Engine: Engine Mapping and WLTC Strategy Evaluation. [PDF]
Jiang J, Yang J, Cheng Y.
europepmc +1 more source
Predicting Performance of Hall Effect Ion Source Using Machine Learning
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park +8 more
wiley +1 more source
Influence of Piston Bowl Geometry and Hydrogen-Diesel Mixing Ratios on Dual-Fuel Engine Combustion. [PDF]
Kumar R +5 more
europepmc +1 more source
Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian +37 more
wiley +1 more source
The 10–23 DNAzyme in Biosensing and Diagnostics: Applications, Challenges, and Future Directions
This review focuses on the 10–23 DNAzyme in diagnostics, spanning unregulated and regulated target‐recognition modes, and their functionalization across colorimetric, fluorescent, electrochemical, electrochemiluminescent, and intracellular biosensing strategies.
Connor Nurmi +5 more
wiley +2 more sources

