Machine Learning Model Predicts Engine Oil Heat Transfer Under Thermo-Diffusion Conditions
Researchers developed a Levenberg-Marquardt neural network to accurately predict the heat and mass transfer behavior of 10W40 engine oil hybrid ...
Researchers developed a Levenberg-Marquardt neural network to accurately predict the heat and mass transfer behavior of 10W40 engine oil hybrid ...
A theoretical stability analysis reveals that vertical magnetic fields and inverted parabolic thermal profiles delay the onset of surface-tension-driven convection ...
Simulations demonstrate that zinc and aluminum oxide hybrid nanofluids enhance heat transfer by up to forty percent across rotating stretching ...
A mathematical analysis reveals that combining graphene and aluminum oxide nanoparticles in kerosene enhances heat transfer rates while reducing skin ...
A coupled elastic-electrical rock-physics framework reduces marine gas hydrate saturation estimation errors by up to 62 percent.
A numerical study reveals how cavity aspect ratio and anti-parallel lid motions govern stationary bifurcations, heatline patterns, and convective heat ...
A mathematical modeling study shows that sponge-like porous bodies delay urban flood formation on unsaturated soil, with delays increasing alongside ...
A new analytical study reveals how magnetic fields, rotation, and porous boundary conditions control the flow and heat transfer of ...
A new study in Discover Nano uses the OHAM method to analyze the flow and heat transfer of a GO-Cu-TiO2 ...
A new study develops and compares two semi-analytical methods for solving nonlinear time-fractional reaction–diffusion equations with the Atangana–Baleanu–Caputo derivative, showing ...
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© 2026 Scienmag - Science Magazine