Twofold machine-learning and molecular dynamics: a computational framework
C Stavrogiannis, F Sofos, M Sagri, D Vavougios… - Computers, 2023 - mdpi.com
Data science and machine learning (ML) techniques are employed to shed light into the
molecular mechanisms that affect fluid-transport properties at the nanoscale. Viscosity and …
molecular mechanisms that affect fluid-transport properties at the nanoscale. Viscosity and …
[HTML][HTML] A feed-forward artificial neural network with several training methods and various geometries for predicting the rheological behavior of Al2O3/ethylene glycol …
In this study, the effect of volume fraction of nanoparticles (φ), temperature (Tem.), and shear
rates (SR) on the viscosity (μ nf) of Al 2 O 3/Ethylene Glycol-Water hybrid nanofluid is …
rates (SR) on the viscosity (μ nf) of Al 2 O 3/Ethylene Glycol-Water hybrid nanofluid is …
Friction and wear properties of wide-velocity range high-energy plasma sprayed CuSn–NiCr solid self-lubricating coatings under heavy load
Y Wang, Y Wang, G Liu, J Sun, Y Bai, N Liu, W Fan… - Wear, 2024 - Elsevier
As one of important copper-based solid self-lubricating coatings, the low wear resistance of
Cu–Sn coatings greatly limits its application in some heavy-duty cases. In the present work …
Cu–Sn coatings greatly limits its application in some heavy-duty cases. In the present work …
[HTML][HTML] Thermal equilibrium time as a novel characteristic of nanofluid evaluation: An experimental investigation of distilled water-based binary and ternary nanofluids
AMA Alshibil, P Víg, I Farkas - Journal of Molecular Liquids, 2024 - Elsevier
Nanofluids enhance thermal energy transfer in energy storage applications. Proper
nanoparticles are crucial, especially regarding their thermophysical properties. This work …
nanoparticles are crucial, especially regarding their thermophysical properties. This work …