Results 151 to 160 of about 617 (202)
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano +5 more
wiley +1 more source
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong +11 more
wiley +1 more source
Polymer electrolytes (PEs) are often indiscriminately grouped as “solid polymer electrolytes (SPEs)”, despite fundamental differences in their ion‐transport mechanisms. This Perspective establishes a mechanism‐based framework that distinguishes gel, quasi‐solid, and all‐solid polymer electrolytes based on their dominant ion‐transport pathways.
Jing Chen +15 more
wiley +1 more source
Cell Adhesion by Design: Engineering Tissue Culture Scaffolds With Adhesion Cues
ABSTRACT In scaffold‐based tissue engineering, the matrix should provide adequate adhesion cues for cell attachment, spreading, and function. Given the multitude of adhesion receptors and the diversity of scaffolds, there are many approaches to render scaffolds adhesive, even though they are not all equivalent.
Dalia Dranseike +3 more
wiley +1 more source
This study establishes a dual‐channel optical metrology framework integrating phase‐shifting imaging ellipsometry and deep‐UV reflectance imaging. This label‐free approach enables simultaneous, time‐resolved mapping of film thickness and nanoparticle (NP) concentration in dynamic nanofluid thin films.
Eita Shoji +3 more
wiley +1 more source
Multilayered Digital Microfluidic Chip for Cell‐Based Assays
A multilayered digital microfluidic (mDMF) chip architecture is introduced to improve throughput and robustness in cell‐based assays. By multilayering electrode components and dielectric layers on glass, this design significantly reduces actuation voltage, maintains reliability, and enables expansion of the operational area with minimum current leakage.
Mert Ozden +2 more
wiley +1 more source
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz +5 more
wiley +1 more source
Two‐Way Shape Memory Polymer Composite Gripper for Adaptive Robotic Applications
A two‐way shape memory polymer (SMP) composite is developed with intrinsic shape‐changing capability driven solely by temperature, eliminating external actuation loads. Embedding the SMP in a low‐stiffness elastomeric matrix enabled reversible transformations during heating and cooling cycles.
Aamna Hameed, Kamran Ahmed Khan
wiley +1 more source
Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue +8 more
wiley +1 more source
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Understanding Search-Engine Optimization
Computer, 2015Because users rarely click on links beyond the first search results page, boosting search-engine ranking has become essential to business success. With a deeper knowledge of search-engine optimization best practices, organizations can avoid unethical practices and effectively monitor strategies approved by popular search engines.
Venkat N Gudivada
exaly +2 more sources

