Results 191 to 200 of about 1,462,174 (364)
This work investigates the Nernst effect in the Kagome magnet ErMn6Sn6 which exhibits both topological and anomalous Nernst effects with the anomalous Nernst coefficient reaching 1.71 µV K⁻¹ at 300 K. This value surpasses that of most canted antiferromagnetic materials, making ErMn6Sn6 a promising candidate for advancing thermoelectric devices based on
Olajumoke Oluwatobiloba Emmanuel+2 more
wiley +1 more source
Characterization of joining copper rods by upset technique and investigating the effect of preheat treatment on the weld characteristics. [PDF]
El-Rafey ME+3 more
europepmc +1 more source
A wideband tunable electrochromic device with dynamic thermal emissivity control is demonstrated. The system enables adaptive heat regulation via electrochemically modulated silver deposition, achieving efficient cooling and heating states. The flexible design ensures mechanical robustness under bending conditions, making it promising for portable and ...
Jiawei Liang+10 more
wiley +1 more source
Recent years, edge-cloud computing has attracted more and more attention due to benefits from the combination of edge and cloud computing. Task scheduling is still one of the major challenges for improving service quality and resource efficiency of edge ...
Ming Chen+5 more
doaj
Molecular engineering of porphyrin dyes and copper complexes for enhanced dye regeneration toward high-performance dye-sensitized solar cells using copper(i/ii) redox shuttles. [PDF]
Zhang Y+4 more
europepmc +1 more source
Selective soldering via molten metal printing enables component integration, even in heat‐sensitive applications across fields like additive manufacturing, sustainable electronics, and smart textiles. This method overcomes the temperature limitations of existing technologies.
Dániel Straubinger+4 more
wiley +1 more source
The present study aims to prioritize measures to surmount the barriers of implementing the circular supply chain of the copper industry by employing grey MADM methods.
Moazameh Mahmoudi+3 more
doaj
Machine learning-enhanced monitoring of global copper mining areas. [PDF]
Li H+4 more
europepmc +1 more source