A data-driven physics-informed neural network for predicting the viscosity of nanofluids

Statistical review of studies on the estimation of thermophysical properties of nanofluids using artificial neural network (ANN)

(2022) Mohammad Hemmat Esfe et al.   POWDER TECHNOLOGY

Data-driven physics-informed constitutive metamodeling of complex fluids: A multifidelity neural network (MFNN) framework

(2021) Mohammadamin Mahmoudabadbozchelou et al.   JOURNAL OF RHEOLOGY

Mineral Prospectivity Prediction via Convolutional Neural Networks Based on Geological Big Data

(2021) Shi Li et al.   Journal of Earth Science

nPINNs: Nonlocal physics-informed neural networks for a parametrized nonlocal universal Laplacian operator. Algorithms and applications

(2020) G. Pang et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Enhanced oil recovery by using electromagnetic-assisted nanofluids: A review

(2020) Hassan Ali et al.   JOURNAL OF MOLECULAR LIQUIDS

Modeling the viscosity of nanofluids using artificial neural network and Bayesian support vector regression

(2020) Ibrahim Olanrewaju Alade et al.   JOURNAL OF APPLIED PHYSICS

Recent advances in application of nanofluids in heat transfer devices: A critical review

(2019) Muhammad Usman Sajid et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Energy and exergy comparison of a flat-plate solar collector using water, Al2O3 nanofluid, and CuO nanofluid

(2019) Yijie Tong et al.   APPLIED THERMAL ENGINEERING

A review on the utilized machine learning approaches for modeling the dynamic viscosity of nanofluids

(2019) Mahdi Ramezanizadeh et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Recent research contributions concerning use of nanofluids in heat exchangers: A critical review

(2018) Mehdi Bahiraei et al.   APPLIED THERMAL ENGINEERING

Neural network and deep-learning algorithms used in QSAR studies: merits and drawbacks

(2018) Fahimeh Ghasemi et al.   DRUG DISCOVERY TODAY

Effect of surfactant type on buckypaper electrochemical performance

(2018) Nadia Farsaei Vahid et al.   Micro & Nano Letters

Enhancing the performance of parabolic trough collectors using nanofluids and turbulators

(2018) Evangelos Bellos et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Design and optimization of a combined solar thermophotovoltaic power generation and solid oxide electrolyser for hydrogen production

(2018) Raheleh Daneshpour et al.   ENERGY CONVERSION AND MANAGEMENT

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

(2018) M. Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Predicting the effective viscosity of nanofluids based on the rheology of suspensions of solid particles

(2017) Dilan S. Udawattha et al.   JOURNAL OF KING SAUD UNIVERSITY SCIENCE

Accurate prediction of nanofluid viscosity using a multilayer perceptron artificial neural network (MLP-ANN)

(2016) Elham Heidari et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

A novel correlation approach for viscosity prediction of water based nanofluids of Al 2 O 3 , TiO 2 , SiO 2 and CuO

(2016) Mahdi Kalantari Meybodi et al.   Journal of the Taiwan Institute of Chemical Engineers

Viscosity of nanofluids based on an artificial intelligence model

(2013) M. Mehrabi et al.   INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER

Effects of Temperature and Particle Size on the Thermal Property Measurements of Al2O3−Water Nanofluids

(2010) D. Kwek et al.   JOURNAL OF CHEMICAL AND ENGINEERING DATA

Rheological and flow characteristics of nanofluids: Influence of electroviscous effects and particle agglomeration

(2009) K. B. Anoop et al.   JOURNAL OF APPLIED PHYSICS

A new model for calculating the effective viscosity of nanofluids

(2009) N Masoumi et al.   JOURNAL OF PHYSICS D-APPLIED PHYSICS

Investigations of thermal conductivity and viscosity of nanofluids

(2007) S.M.S. Murshed et al.   INTERNATIONAL JOURNAL OF THERMAL SCIENCES

Viscosity data for Al2O3–water nanofluid—hysteresis: is heat transfer enhancement using nanofluids reliable?

(2007) C.T. Nguyen et al.   INTERNATIONAL JOURNAL OF THERMAL SCIENCES