Results 151 to 160 of about 1,010,486 (283)

Enhancing Metal‐Support Interactions of Ru Catalysts via Relaxation of Oxygen Vacancies for Hydrogen Production

Advanced Functional Materials, EarlyView.
Designing stable Ru nanoparticle catalyst remains a critical challenge in electrochemical applications. Here, a strategy is presented to stabilize Ru catalysts by leveraging Ce‐doped ZrO2 supports (ZrCeO2‐x), which enhance catalyst durability and activity through electronic metal‐support interactions and stabilized oxygen vacancies.
Mansu Kim, Jonghwan Park, Hyuk Choi, Sohui Kim, Injoon Jang, Hyun You Kim, Namgee Jung, Sung Jong Yoo, Joseph T. Hupp, Dongmok Whang   +9 more
wiley   +1 more source

Sparse Binary Relation Representations for Genome Graph Annotation [PDF]

, 2018
Mikhail Karasikov, Harun Mustafa, Amir Joudaki, Sara Javadzadeh, Gunnar Rätsch, André Kahles   +5 more
openalex   +1 more source

Rapid Diagnostics of Reconfigurable Intelligent Surfaces Using Space‐Time‐Coding Modulation

Advanced Functional Materials, EarlyView.
A fast reconfigurable‐intelligent‐surface (RIS) diagnostics method is proposed based on spatio‐temporal modulation with orthogonal codes. Theoretical analysis demonstrates a clear distinction in code channel power between normal and faulty elements. Simulations validate its feasibility under high fault ratios and varying receiving angles.
Yi Ning Zheng, Lei Zhang, Xiao Qing Chen, Marco Rossi, Giuseppe Castaldi, Shuo Liu, Tie Jun Cui, Vincenzo Galdi   +7 more
wiley   +1 more source

φ-ψ-Contractions under W-Distances Employing Symmetric Locally T-Transitive Binary Relation [PDF]

, 2022
Arif Mohammad, Mohammad Imdad, Salvatore Sessa   +2 more
openalex   +1 more source

Beyond the Beam: Exploring Charged Particle Nanoprinting

Advanced Functional Materials, EarlyView.
Charged particle nanoprinting using electrons and ions is highly advanced, offering great potential for research and industry. However, challenges in precursor design and process optimization persist, but also offer great opportunities to drive nanofabrication innovations.
Nicolas Paul Jochmann, Alba Salvador‐Porroche, Sven Barth   +2 more
wiley   +1 more source

Fluorophobic Effect Enables Selective Detection of PFAS in Water with Electrolyte‐Gated Organic Transistors

Advanced Functional Materials, EarlyView.
PerFluoroAlkyl Substances (PFAS) are responsible of major and persistent environmental pollution worldwide. This work demonstrates an ultra‐sensitive sensor for PFAS based on an organic transistor whose gate is functionalized with a binary self‐assembled monolayer containing a perfluorinated molecule.
Rian Zanotti, Marcello Berto, Matteo Sensi, Alessandro Paradisi, Eleonora Veronese, Lucia Pasquato, Carlo Augusto Bortolotti, Pierangelo Metrangolo, Fabio Biscarini   +8 more
wiley   +1 more source

Engineering Topographical Cues to Enhance Neural Regeneration in Spinal Cord Injury: Overcoming Challenges and Advancing Therapies

Advanced Functional Materials, EarlyView.
Spinal cord injury (SCI) poses significant challenges for regeneration due to a series of secondary injury mechanisms. How to use biomaterial approach to target the failed regeneration after SCI remains a critical challenge. This review systematically evaluates current strategies to optimize biomaterial topographies for neurite outgrowth, axonal ...
Wei Xu, Fenghui Wang, Joshua Stein, Siqiao Wang, Pengfei Jiang, Letao Yang, Liming Cheng, Ki‐Bum Lee   +7 more
wiley   +1 more source

RELATION BETWEEN THE COLORS AND THE MAGNITUDES OF THE BINARY STARS. [PDF]

, 1890
Edward S. Holden
openalex   +1 more source

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

Advanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu, Junyuan Lu, Jian Hui, Ziyuan Rao, Yang Ren, Hong Wang   +5 more
wiley   +1 more source