Results 151 to 160 of about 2,452,548 (389)
MHD mixed convection and heatlines approach of nanofluids in rectangular wavy enclosures with multiple solid fins. [PDF]
Azizul FM +4 more
europepmc +1 more source
Multimaterial 3D Printing of Soft and Stretchable Electronics
A multimaterial resin for two‐photon polymerization integrates PEDOT:PSS and carbon nanotubes to enable direct 3D printing of conductive, insulating, and electroactive microstructures. The hybrid exhibits high conductivity, optical transparency, and stability under strain and pH variation, advancing scalable fabrication of flexible soft electronics and
Omid Dadras‐Toussi +2 more
wiley +1 more source
Entropy generation analysis for mixed convection flow of nanofluid due to vertical plate with chemical reaction effects. [PDF]
Abdelhameed TN.
europepmc +1 more source
Nonlinear mixed convective nanofluid flow about a rough sphere with the diffusion of liquid hydrogen
P. M. Patil +3 more
openalex +1 more source
A microfluidic electrochemical biosensor enables sensitive and specific detection of antibodies associated with vaccine‐induced immune thrombotic thrombocytopenia (VITT) and heparin‐induced thrombocytopenia (HIT). The platform uses two antigen targets— platelet factor 4 (PF4) and cross‐linked‐PF4 (c‐PF4)—and microliter volumes of patient sera to ...
Diana F. Cedillo‐Alcantar +8 more
wiley +1 more source
The steady incompressible mixed convection boundary layer flow with variable fluid properties and mass transfer inside a cone due to a point sink at the vertex of the cone have been investigated.
V. Bisht, M. Kumar, Z. Uddin
doaj
Inertial Waves in a Nonlinear Simulation of the Sun's Convection Zone and Radiative Interior
Recent observations of Rossby waves and other more exotic forms of inertial oscillations in the Sun’s convection zone have kindled the hope that such waves might be used as a seismic probe of the Sun's interior. Here, we present a 3D numerical simulation
Catherine C. Blume +2 more
doaj +1 more source
Designing catalytic processes in porous reactors requires resolving coupled multiscale reaction–transport phenomena. We develop a machine‐learning‐accelerated pore‐scale dual‐network model with kinetics (DNMK), which captures reaction kinetics, pore‐scale transport, and reactor‐level behavior.
Ming‐Liang Qu +10 more
wiley +1 more source

