Rationally Design Thermoelectric Materials Based on Ingenious Machine Learning Methods
A machine learning framework is developed to accurately predict thermoelectric performance of materials. By combining high‐quality data, advanced feature engineering, and machine learning, the model identifies promising candidates like CsCdBr3 and TlBSe3.
Yuqing Sun+4 more
wiley +1 more source
A Hybrid Optimization Design Method Based on TOA and GD for Improving the Diffuse Reflection Uniformity of Acoustic Metasurfaces. [PDF]
Ma J, Zhang Z, Chu Y.
europepmc +1 more source
Machine learning applications in Li‐ion batteries. Abstract Technology for lithium‐ion batteries (LIBs) is developing rapidly, which is essential to modern devices and renewable energy sources. The latest development focuses on the optimization of cathode materials, which is critical in determining battery performance and durability.
Adil Saleem+3 more
wiley +1 more source
Study on Acoustic Properties of Helmholtz-Type Honeycomb Sandwich Acoustic Metamaterials. [PDF]
Gai XL+5 more
europepmc +1 more source
Cathode Upcycling for Direct Recycling of Lithium‐Ion Batteries Using a Precipitation Approach
To improve the circularity of lithium‐ion batteries, researchers develop a low‐cost method to increase the energy density of directly recycled cathodes. Through a precipitation process, low‐nickel materials are converted to high‐nickel compositions. Using synchrotron 3D X‐ray imaging and diffraction, they track nickel diffusion during high‐temperature ...
Eva Allen+13 more
wiley +1 more source
Ultrawideband high density polymer-based spherical array for real-time functional optoacoustic micro-angiography. [PDF]
Subochev PV+15 more
europepmc +1 more source
Doped Zinc Oxide‐Based Piezoelectric Devices for Energy Harvesting and Sensing
This review provides a comprehensive overview of material properties, synthesis methods, and characterization techniques of doped ZnO, emphasizing the impact of doping on its structural and functional attributes. It highlights key findings, identifies knowledge gaps, and proposes future research directions to optimize doped ZnO for energy harvesting ...
Congran Jin+3 more
wiley +1 more source
The Optimization of a T-Cell Resonator: Towards Highly Sensitive Photoacoustic Spectroscopy for Noninvasive Blood Glucose Detection. [PDF]
Zaman TM, Kaysir MR, Rassel S, Ban D.
europepmc +1 more source
On the absorption coefficient of aluminium acoustic panel
Yukio Kagawa, Tadamoto Nimura
openaire +2 more sources
This review highlights advanced methods for detecting and managing over‐humidification in polymer electrolyte fuel cells (PEFCs), emphasizing innovative sensors, simulation techniques, and imaging methods. By addressing the impact of water management on fuel‐cell performance and durability, this study outlines practical and sustainable solutions for ...
Maximilian Käfer+2 more
wiley +1 more source