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A review of modern machine learning techniques in the prediction of remaining useful life of lithium-ion batteries
The intense increase in air pollution caused by vehicular emissions is one of the main
causes of changing weather patterns and deteriorating health conditions. Furthermore …
causes of changing weather patterns and deteriorating health conditions. Furthermore …
Recent progress of artificial intelligence for liquid-vapor phase change heat transfer
Artificial intelligence (AI) is shifting the paradigm of two-phase heat transfer research. Recent
innovations in AI and machine learning uniquely offer the potential for collecting new types …
innovations in AI and machine learning uniquely offer the potential for collecting new types …
Recent advances in machine learning research for nanofluid-based heat transfer in renewable energy system
Nanofluids have gained significant popularity in the field of sustainable and renewable
energy systems. The heat transfer capacity of the working fluid has a huge impact on the …
energy systems. The heat transfer capacity of the working fluid has a huge impact on the …
Performance characterization of a solar-powered shell and tube heat exchanger utilizing MWCNTs/water-based nanofluids: an experimental, numerical, and artificial …
In the present work, Multi-Wall Carbon Nanotubes (MWCNT)/water nanofluids are used to
increase the performance of a shell and tube heat exchanger (STHX) while reducing energy …
increase the performance of a shell and tube heat exchanger (STHX) while reducing energy …
Examining rheological behavior of MWCNT-TiO2/5W40 hybrid nanofluid based on experiments and RSM/ANN modeling
In this study, the rheological behavior of MWCNT-TiO 2/5W40 hybrid nanofluid was
examined experimentally and then the results were compared with regression-based …
examined experimentally and then the results were compared with regression-based …
Sonication impact on thermal conductivity of f-MWCNT nanofluids using XGBoost and Gaussian process regression
Background Previous research has revealed that nanofluids are capable of improving the
heat transfer performance of energy systems. Researchers devote a considerable deal of …
heat transfer performance of energy systems. Researchers devote a considerable deal of …
An experimental investigation of thermal conductivity and dynamic viscosity of Al2O3-ZnO-Fe3O4 ternary hybrid nanofluid and development of machine learning …
The growing interest in hybrid nanofluids is due to the synergistic effects of nanoparticles,
which could give them better heat transfer properties as compared to base fluids, and …
which could give them better heat transfer properties as compared to base fluids, and …
An experimental comparative assessment of the energy and exergy efficacy of a ternary nanofluid-based photovoltaic/thermal system equipped with a sheet-and …
The usability of water based GO-TiO 2-Fe 3 O 4 ternary nanofluid in a photovoltaic/thermal
(PV/T) collector from both energy and exergy perspectives is inspected in the present …
(PV/T) collector from both energy and exergy perspectives is inspected in the present …
Deep machine learning potentials for multicomponent metallic melts: Development, predictability and compositional transferability
The use of machine learning interatomic potentials (MLIPs) in simulations of materials is a
state-of-the-art approach, which allows achieving nearly ab initio accuracy with orders of …
state-of-the-art approach, which allows achieving nearly ab initio accuracy with orders of …
[HTML][HTML] Performance of magnetic dipole contribution on electromagnetic Ellis tetra hybrid nanofluid with the applications of surface tension gradient: A Xue model …
The objective of this work is to examine the enhancement of thermal energy transfer in Ellis
THNF (tetra hybrid nanofluid) flow with magnetic dipole permits on a vertical surface. Using …
THNF (tetra hybrid nanofluid) flow with magnetic dipole permits on a vertical surface. Using …