相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Laminar forced convection heat transfer of nano fl uids inside non-circular ducts: A review
Md Ershadul Haque et al.
POWDER TECHNOLOGY (2021)
Evaluation of the nanofluid-assisted desalination through solar stills in the last decade
Anum Iqbal et al.
JOURNAL OF ENVIRONMENTAL MANAGEMENT (2021)
Machine learning-based approaches for modeling thermophysical properties of hybrid nanofluids: A comprehensive review
Akbar Maleki et al.
JOURNAL OF MOLECULAR LIQUIDS (2021)
On-demand heat transfer augmentation using magnetically triggered ferrofluid containing eco-friendly treated CoFe2O4/rGO
Soheil Omiddezyani et al.
POWDER TECHNOLOGY (2021)
Evaluation of photovoltaic panels using different nano phase change material and a concise comparison: An experimental study
Furcian Jamil et al.
RENEWABLE ENERGY (2021)
Asthma-prone areas modeling using a machine learning model
Seyed Vahid Razavi-Termeh et al.
SCIENTIFIC REPORTS (2021)
The thermophysical properties and enhanced heat transfer performance of SiC-MWCNTs hybrid nanofluids for car radiator system
Xiaoke Li et al.
COLLOIDS AND SURFACES A-PHYSICOCHEMICAL AND ENGINEERING ASPECTS (2021)
Effect of magnetic field on the thermophysical properties of low-density ferrofluid with disk-shaped MgFe2O4 nanoparticles
K. Ajith et al.
COLLOIDS AND SURFACES A-PHYSICOCHEMICAL AND ENGINEERING ASPECTS (2021)
Optimum concentration of carbon black aqueous nanofluid as coolant of photovoltaic modules: A case study
Mohammad Firoozzadeh et al.
ENERGY (2021)
Experimental evaluation of energy and exergy performance of a nano fluid-based photovoltaic/thermal system equipped with a sheet-and-sinusoidal serpentine tube collector
Amin Shahsavar
JOURNAL OF CLEANER PRODUCTION (2021)
Comprehensive study concerned graphene nano-sheets dispersed in ethylene glycol: Experimental study and theoretical prediction of thermal conductivity
Muhammad Ibrahim et al.
POWDER TECHNOLOGY (2021)
On the specific heat capacity estimation of metal oxide-based nanofluid for energy perspective - A comprehensive assessment of data analysis techniques
Mehdi Jamei et al.
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER (2021)
Heat transfer of ferrofluids with magnetoviscous effects
Feng Jiao et al.
JOURNAL OF MOLECULAR LIQUIDS (2021)
Modeling the nonlinear behavior of ACC for SCFST columns using experimental-data and a novel evolutionary-algorithm
Mohamed El Amine Ben Seghier et al.
STRUCTURES (2021)
Experimental investigations of the performance of a flat-plate solar collector using carbon and metal oxides based nanofluids
Naveed Akram et al.
ENERGY (2021)
On the Thermal Conductivity Assessment of Oil-Based Hybrid Nanofluids using Extended Kalman Filter integrated with feed-forward neural network
Mehdi Jamei et al.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER (2021)
Experimental evaluation of a thermosyphon-based heat exchanger working with a graphene oxide (GO) nanofluid in a cogeneration system
Bernardo Herrera et al.
THERMAL SCIENCE AND ENGINEERING PROGRESS (2021)
Solar desalination system with a focal point concentrator using different nanofluids
Alireza Rafiei et al.
APPLIED THERMAL ENGINEERING (2020)
Prediction of nanofluids viscosity using random forest (RF) approach
Majid Gholizadeh et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2020)
On evaluation of magnetic field effect on the formation of nanoparticles clusters inside aqueous magnetite nanofluid: An experimental study and comprehensive modeling
Amin Shahsavar et al.
JOURNAL OF MOLECULAR LIQUIDS (2020)
An updated review on application of nanofluids in flat tubes radiators for improving cooling performance
Neeti Arora et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2020)
A review of melting and freezing processes of PCM/nano-PCM and their application in energy storage
Sara Rostami et al.
ENERGY (2020)
Experimental investigation of the effect of an external magnetic field on the thermal conductivity and viscosity of Fe3O4-glycerol
Mohammadhossein Hajiyan et al.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY (2019)
Magnetoviscous effect investigation of water based Mn-Zn Fe2O4 magnetic nanofluid under the influence of magnetic field: An experimental study
Ehsan Shojaeizadeh et al.
JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS (2019)
Improving SPI-derived drought forecasts incorporating synoptic-scale climate indices in multi-phase multivariate empirical mode decomposition model hybridized with simulated annealing and kernel ridge regression algorithms
Mumtaz Ali et al.
JOURNAL OF HYDROLOGY (2019)
Impact of oscillating magnetic field on the thermal-conductivity of water-Fe3O4 and water-Fe3O4/CNT ferro-fluids: Experimental study
W. I. Liu et al.
JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS (2019)
Tunable thermal conductivity and rheology of in-house synthesized Fe55Co25Ni20 complex fluids under the external magnetic field
Nizamuddin Khan et al.
JOURNAL OF MOLECULAR LIQUIDS (2019)
Random Forest based hourly building energy prediction
Zeyu Wang et al.
ENERGY AND BUILDINGS (2018)
Experimental study on viscosity of spinel- type manganese ferrite nanofluid in attendance of magnetic field
Mohammad Amani et al.
JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS (2017)
Enhancement of thermal conductivity and kinematic viscosity in magnetically controllable maghemite (γ-Fe2O3) nanofluids
Irwan Nurdin et al.
EXPERIMENTAL THERMAL AND FLUID SCIENCE (2016)
Investigation on viscosity of Fe3O4 nanofluid under magnetic field
Lijun Wang et al.
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER (2016)
Magneto-viscosity of MnZn-ferrite ferrofluid
Gadipelly Thirupathi et al.
PHYSICA B-CONDENSED MATTER (2014)
Fluorescence and magnetic properties of hydrogels containing Fe3O4 nanoparticles
E. Alveroglu et al.
JOURNAL OF MOLECULAR STRUCTURE (2013)
Transient magnetoviscosity of dilute ferrofluids
Denisse Soto-Aquino et al.
JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS (2011)
Variable selection using random forests
Robin Genuer et al.
PATTERN RECOGNITION LETTERS (2010)
Fast cross-validation algorithms for least squares support vector machine and kernel ridge regression
Senjian An et al.
PATTERN RECOGNITION (2007)
Random forest: A classification and regression tool for compound classification and QSAR modeling
V Svetnik et al.
JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES (2003)