Results 141 to 150 of about 8,430,397 (275)
This perspective presents recent advances in electrocatalytic nitrate reduction, focusing on reaction mechanisms, catalyst design, and electrolyzer configurations. Key challenges in selectivity, stability, and practical wastewater treatment are highlighted, while future directions for advancing sustainable ammonia synthesis and nitrate remediation are ...
Xintong Li +9 more
wiley +1 more source
Random-matrix theory of quantum transport
85 pages including 52 figures, to be published in Rev.Mod ...
openaire +4 more sources
Load Distributing Metamaterials Via Discrete Optimization
Mechanical metamaterials are computationally optimized to homogenize transmitted forces by minimizing the spread of reaction forces. The resulting architectures transform localized loading into broader, more uniform force distributions and experimentally demonstrate robust load spreading under quasi‐static and impact loading.
Andrea Detry +6 more
wiley +1 more source
Facial erythema detects diabetic neuropathy using the fusion of machine learning, random matrix theory and self organized criticality. [PDF]
Nadimi ES +3 more
europepmc +1 more source
Keratin recovered from animal‐hair textile waste is fractionated and blended with cellulose to produce continuously spun hybrid fibers. Selecting the high‐molecular‐weight keratin fraction enables 30 wt.% keratin incorporation while maintaining high strength in dry and wet states.
Mian Zhai +6 more
wiley +1 more source
Hydrophilic PEO‐copolymers and hydrophobic PDMS are physically integrated via a compatibilizing solvent into an amphipathic dual‐polymer network with versatile interfacial affinity and completely amorphized PEO segments for hyper‐permeable CO2 transport.
Ji Wu +9 more
wiley +1 more source
Estimating High Dimensional Covariance Matrices and its Applications [PDF]
Estimating covariance matrices is an important part of portfolio selection, risk management, and asset pricing. This paper reviews the recent development in estimating high dimensional covariance matrices, where the number of variables can be greater ...
Jushan Bai, Shuzhong Shi
core
Architecture‐Driven Functional Coupling in Vertically Aligned Nanocomposites
Vertically aligned nanocomposites define a growth‐engineered architecture in which vertical interfaces, strain fields, defect pathways, and phase connectivity are created simultaneously. This review shows how these architectural features couple ferroic, optical, ionic, electrochemical, and device responses, establishing design rules and open challenges
Md Shatil Islam‐Shanto +4 more
wiley +1 more source
Random matrix theory in reverse
The most classical problem in random matrix theory is to specify a natural joint distribution for the entries of a large random matrix, then study the asymptotic behavior of the distribution of the eigenvalues.
Meckes, Mark
core +1 more source
Covalent Functionalization of 2D Semiconductors: A Roadmap to Advanced Electronic Devices
This Review presents recent advances in the covalent functionalization strategies for two‐dimensional semiconductors and their implementation in modern technologies. Layered materials are modified through diverse molecular chemistries (e.g., thiols, diazonium salts, alkyl halides, and electron‐deficient species) to tailor their surface properties ...
Ramiro Quirós‐Ovies +2 more
wiley +1 more source

