Results 171 to 180 of about 308,543 (305)
Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen +7 more
wiley +1 more source
A study on surface tension gradient flow of viscoelastic tetra hybrid nanofluid over a Riga plate with elastic deformation for improving thermal efficiency in industrial systems. [PDF]
Faqihi AA +5 more
europepmc +1 more source
A targeted modulation of the MoS2 electronic structure is achieved via substitutional n‐type Co/Fe co‐doping. This strategy triggers S‐mediated d‐p hybridization, optimizing the binding affinity with polysulfides to establish a volcano‐shaped relationship between the d‐band center and catalytic activity.
Junhyuk Ji +6 more
wiley +1 more source
The last few years have seen an upsurge in research into problems facing computer science such as plummeting enrollments and outsourcing, and now there is a plethora of information about the causes and solutions for the issues facing computer science in ...
Peters-Cohen, Susan D.
core
The total eclipse of bioinformatics: From disruption to convention, and a gentle warning. [PDF]
Ouzounis CA.
europepmc +1 more source
Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung +9 more
wiley +1 more source
The Human Mind in Dialogue With its Replica AI - a Historical Perspective. [PDF]
Klempe SH.
europepmc +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
Modified Z-algorithms for reckoning fixed points with application to nonlinear integral equations. [PDF]
Rehman HU, Hammad HA, Abdalla MEM.
europepmc +1 more source

