Harnessing the Effects of CD-Doped and Ag-Coated CeO2 (IV) Nanoparticles for Enhanced Nitrophenol Reduction, Photocatalytic Degradation, and Other Potential Biological Applications

Chemistry, Nanoscience, Inorganic Chemistry, Materials Chemistry, Environmental Chemistry, Engineering, Environmental Engineering, Materials Science, Inorganic Non-Metallic Materials, Life Sciences, Bioengineering,
 

Academic Background With the rapid development of nanotechnology, the potential applications of nanomaterials in environmental remediation, biomedicine, and energy conversion have garnered increasing attention. Among these, cerium oxide (CeO₂) nanoparticles have become a research hotspot due to their unique redox properties, high stability, and exc...

Using Physics Simulations to Find Targeting Strategies in Competitive Tenpin Bowling

Physics, Mechanics, Engineering, Mechanical Engineering,
physics simulations   tenpin bowling   targeting strategies   numerical solution   friction surface  

Academic Background Bowling is one of the most popular sports in the United States, with over 45 million people regularly participating as of 2017. With millions of dollars at stake in national competitions each year, improving player scores has become a research focus. However, due to the complexity of calculations and the numerous variables affec...

ShockFluidX: A Novel OpenFOAM-Based Modular Solver for High-Speed Flows

Engineering, Mechanical Engineering, Aerospace Engineering,
Computational Fluid Dynamics   High-Speed Flows   OpenFOAM   Modular Solver   Adaptive Mesh Refinement  

Academic Background Hypersonic technology is a critical research direction in the aerospace field, with applications spanning national defense, space launch, and ultra-high-speed commercial aviation. With the rapid development of Computational Fluid Dynamics (CFD) technology, high-fidelity CFD simulations play an increasingly important role in the ...

Scaling of Hardware-Compatible Perturbative Training Algorithms

Engineering, Electrical Engineering, Information Science, Electronic Information, Computer Science, Artificial Intelligence,
perturbative training   hardware compatibility   gradient estimation   stochastic gradient descent   neuromorphic hardware   machine learning   computational efficiency  

With the rapid development of artificial intelligence (AI) technology, artificial neural networks (ANNs) have achieved significant success in multiple fields. However, traditional neural network training methods—especially the backpropagation algorithm—face numerous challenges in hardware implementation. Although the backpropagation algorithm is ef...

2D Material Integrated Photonics: Toward Industrial Manufacturing and Commercialization

Physics, Optics, Chemistry, Nanoscience, Engineering, Electrical Engineering, Materials Science, Information Science, Electronic Information, Semiconductors and Information Devices,
2D materials   integrated photonics   industrial manufacturing   commercialization   nanophotonics   optoelectronics   fabrication techniques  

Academic Background With the advent of the information age, integrated circuits (ICs) have become the driving force behind technological advancements. However, traditional integrated photonics platforms, such as silicon and silicon nitride, face numerous limitations in material properties. For instance, silicon’s indirect bandgap restricts its use ...