M. Hajmohammad
Biomedical Engineering · 2016–2018
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Biomedical Engineering — 23 citations into it; #7,036 of 10,734 by trust here, #5,019 by citations
- Mechanical Engineering — 21 citations into it; #6,948 of 8,300 by trust here, #7,853 by citations
Whom M. Hajmohammad trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts M. Hajmohammad overall
Papers from M. Hajmohammad's perspective
Ordered by how strongly the researchers M. Hajmohammad trusts endorse each paper. Same corpus, a different order for every researcher.
- Study of thermal conductivity of nanofluids for the application of heat transfer fluids
- Experimental studies on the convective heat transfer performance and thermophysical properties of MgO–water nanofluid under turbulent flow
- Thermal conductivity and particle agglomeration in alumina nanofluids: experiment and theory. (Physical review. E, Statistical, nonlinear, and soft matter physics)
- Application of Artificial Neural Network (ANN) for the prediction of thermal conductivity of oxide–water nanofluids
- Measurement of temperature-dependent thermal conductivity and viscosity of TiO2-water nanofluids
- A review of nanofluid stability properties and characterization in stationary conditions
- Viscosity and thermal conductivity of nanofluids containing multi-walled carbon nanotubes stabilized by chitosan
- Experimental investigation into convective heat transfer of nanofluids at the entrance region under laminar flow conditions
- A critical review on convective heat transfer correlations of nanofluids
- New temperature dependent thermal conductivity data for water-based nanofluids
Their papers
- Wave propagation of embedded viscoelastic FG-CNT-reinforced sandwich plates integrated with sensor and actuator based on refined zigzag theory (2017) — 133 citations
- Design of a heat exchanger working with organic nanofluids using multi-objective particle swarm optimization algorithm and response surface method (2018) — 84 citations
- Designing an artificial neural network to predict dynamic viscosity of aqueous nanofluid of TiO2 using experimental data (2016) — 212 citations