Results 221 to 230 of about 2,758 (292)
A MEMS‐integrated metamaterial filter enables continuous, low‐voltage spectral tuning in the long‐wavelength infrared (LWIR). The device employs extraordinary optical transmission in a dual suspended metasurface stack, where electrostatic actuation precisely controls the intermembrane air gap.
Oleg Bannik +6 more
wiley +1 more source
Effect of Solution Temperature on Corrosion Behavior of Ti-6Al-4Zr-3Nb-1.1Mo-1Sn-1V Alloy in Hydrochloric Acid Solution. [PDF]
Mao C +5 more
europepmc +1 more source
We introduce an additively manufactured bioreactor with a perfusion flow system and integrated temperature and pH sensors for skeletal muscle tissue biofabrication. The bioreactor's performance was evaluated by assessing the viability, spreading of the myoblast cells in a printed scaffold, and contraction of the isolated murine musculi interossei ...
Lys Sprenger +9 more
wiley +1 more source
The Impact of Selected ESD Parameters on the Properties of Tungsten Layers. [PDF]
Młynarczyk P +2 more
europepmc +1 more source
This work highlights the impact of incorporating graphene nanoflakes into precursor inks of MAPbBr3 for inkjet‐printed optoelectronic device applications. A substantial modification of the crystallization dynamics is reported despite miniscule concentrations.
Kenneth Lobo +12 more
wiley +1 more source
Electrolytic Routes to Titanium: Methodological Innovations, Key Findings, and Prospects for Sustainable Production. [PDF]
Du D, Dou Z, Zhang T.
europepmc +1 more source
Flexible sweat sensor patch integrating graphene‑interfaced gold microelectrodes functionalized with bio‑receptors and ion‑selective membrane, coupled with a capillary‑driven microfluidic layer and portable potentiostat electronics for multiplexed monitoring of inflammatory, metabolic, and electrolyte biomarkers in microliter sweat volumes.
Roomia Memon +4 more
wiley +1 more source
A Review of Non-Powder-Bed Metal Additive Manufacturing: Techniques and Challenges. [PDF]
Xu J +5 more
europepmc +1 more source
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov +3 more
wiley +1 more source

