Recent advances on the fundamental physical phenomena behind stability, dynamic motion, thermophysical properties, heat transport, applications, and challenges of …

Z Said, LS Sundar, AK Tiwari, HM Ali… - Physics Reports, 2022 - Elsevier
In the past decade, nanotechnology's rapid developments have created quite a lot of
prospects for researchers and engineers to check up on. And nanofluids are important …

Recent advances on improved optical, thermal, and radiative characteristics of plasmonic nanofluids: Academic insights and perspectives

Z Said, S Arora, S Farooq, LS Sundar, C Li… - Solar Energy Materials …, 2022 - Elsevier
To enhance the assimilation of light in the solar thermal area, we need to focus beyond the
thermo-physical properties of the nanoparticles, ie, optical properties of the nanoparticles …

Recent advances in machine learning research for nanofluid-based heat transfer in renewable energy system

P Sharma, Z Said, A Kumar, S Nizetic, A Pandey… - Energy & …, 2022 - ACS Publications
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 …

Synthesis, stability, density, viscosity of ethylene glycol-based ternary hybrid nanofluids: Experimental investigations and model-prediction using modern machine …

Z Said, NK Cakmak, P Sharma, LS Sundar, A Inayat… - Powder Technology, 2022 - Elsevier
A direct sol-gel technique was utilized to produce rGO-Fe 3 O 4-TiO 2 ternary hybrid
nanocomposites to produce ethylene glycol (EG) based stable nanofluids, characterized by …

Optimization of thermophysical properties of nanofluids using a hybrid procedure based on machine learning, multi-objective optimization, and multi-criteria decision …

T Zhang, AMK Pasha, SM Sajadi, DJ Jasim… - Chemical Engineering …, 2024 - Elsevier
The rheological and thermal behavior of nanofluids in real-world scenarios is significantly
affected by their thermophysical properties (TPPs). Therefore, optimizing TPPs can …

Optimized ANFIS models based on grid partitioning, subtractive clustering, and fuzzy C-means to precise prediction of thermophysical properties of hybrid nanofluids

Z Zhang, M Al-Bahrani, B Ruhani… - Chemical Engineering …, 2023 - Elsevier
Applying machine learning algorithms in the prediction of nanofluids' thermophysical
properties such as density, viscosity, thermal conductivity (TC), and specific heat capacity …

Exploring the specific heat capacity of water-based hybrid nanofluids for solar energy applications: A comparative evaluation of modern ensemble machine learning …

Z Said, P Sharma, RM Elavarasan, AK Tiwari… - Journal of Energy …, 2022 - Elsevier
The current study aims to give insight into the usefulness of three underutilized yet
exceptionally efficient machine learning approaches in estimating the specific heat capacity …

[HTML][HTML] Novel treatments for the bioconvective radiative Ellis nanofluids wedge flow with viscous dissipation and an activation energy

SE Ahmed, AAM Arafa, SA Hussein… - Case Studies in Thermal …, 2022 - Elsevier
This paper aims to examine time-dependent magnetohydrodynamic Ellis nanofluids flow
over a wedge in the presence of the activation energy, thermal radiation and motile oxytactic …

Computational methods to simulate molten salt thermophysical properties

T Porter, MM Vaka, P Steenblik… - Communications …, 2022 - nature.com
Molten salts are important thermal conductors used in molten salt reactors and solar
applications. To use molten salts safely, accurate knowledge of their thermophysical …

Multivariate data decomposition based deep learning approach to forecast one-day ahead significant wave height for ocean energy generation

Z Zheng, M Ali, M Jamei, Y **ang, S Abdulla… - … and Sustainable Energy …, 2023 - Elsevier
Significant wave height is an average of the largest ocean waves, which are important for
renewable and sustainable energy resource generation. A large significant wave height can …