A5069682313- Thermal properties of materials
- Graphene research and applications
- Carbon Nanotubes in Composites
- Thermal Radiation and Cooling Technologies
- Advanced Thermodynamics and Statistical Mechanics
- Nanofluid Flow and Heat Transfer
- Nonlocal and gradient elasticity in micro/nano structures
- Advanced Thermoelectric Materials and Devices
- Heat Transfer and Optimization
- Machine Learning in Materials Science
- Composite Structure Analysis and Optimization
- MXene and MAX Phase Materials
- Boron and Carbon Nanomaterials Research
- Phase Equilibria and Thermodynamics
- 2D Materials and Applications
- Nanopore and Nanochannel Transport Studies
- Advancements in Semiconductor Devices and Circuit Design
- Spectroscopy and Quantum Chemical Studies
- Numerical methods in engineering
- Mechanical and Optical Resonators
- Microfluidic and Capillary Electrophoresis Applications
- Heat Transfer Mechanisms
- Insect-Plant Interactions and Control
- Diamond and Carbon-based Materials Research
- thermodynamics and calorimetric analyses
Imam Khomeini International University
2016-2025
Institute for Research in Fundamental Sciences
2016-2025
Centre National de la Recherche Scientifique
2024
Sari Agricultural Sciences and Natural Resources University
2024
Agricultural Sciences and Natural Resources University of Khuzestan
2022-2024
Institut Lumière Matière
2024
Université Claude Bernard Lyon 1
2024
Sharif University of Technology
2021
Institut Universitaire de France
2021
Tarbiat Modares University
2019
The thermal conductivity of hybrid graphene-graphane nanoribbons (GGNRs) have been investigated using nonequilibrium molecular dynamics simulations. interface between graphene and graphane leads to a Kapitza resistance with strongly dependence on the imposed heat flux direction. We introduce GGNRs as promising rectifiers at room temperature. By calculating phonon spectra, underlying mechanisms were investigated.
The rate of heat dissipation from a carbon-nitride 2D nanostructure depends on the interfacial thermal conductance with its substrate. It was found that structure higher conductivity, has lower value silica
The accuracy of the interatomic potential functions employed in molecular dynamics (MD) simulation is one most important challenges this technique. In contrast, high ab initio quantum cannot be an alternative to MD due its computational cost. meantime, machine learning approach has been able compromise these two numerical techniques. This work unveils how potentials have improved through training over datasets and are well calculate phononic thermal transport materials. Therefore, powerful...
Using nonequilibrium molecular dynamics simulations, the effect of inter-layer sp3 bonding on thermal conductivity bilayer graphene were investigated. Up to 5% fractions randomly distributed bonds, lead considerable decreases in graphene, up 70%. Phonon power spectrum calculations revealed strong influence bonds—compared weak Lennard-Jones interactions—on transport system. These measurements propose application designing nanoscale devices with tunable conductivities.
A one-step chemical method has been developed for the preparation of stable, non-agglomerated silver nanofluids. Silver nanofluid is prepared by using nitrate as a source nanoparticles, distilled water base fluid, and sodium borohydride hydrazine reducing agents means conventional heating polyvinylpyrrolidone (PVP) surfactant. This an in situ, that seems to be valuable with high yield product less time consumption. The characterization done particle size analyzer, X-ray diffraction...
Abstract This paper presents molecular dynamics (MD) modeling for calculating the specific heat of nanofluids containing copper nanoparticles. The Cu nanoparticles with 2-nm diameter were considered to be dispersed in water as base liquid. MD procedure presented and implemented calculate volume fractions 2 10%. Obtained results show that capacity Cu-water decreases gradually increasing concentration simulation are compared two existing applied models prediction nanofluid. obtained from...
The thermal conductance of straight and corrugated monocrystalline silicon nanowires has been measured between 0.3 K 5 K. It is demonstrated that the corrugation strongly reduces transport by reducing mean free path phonons. experimental averaged remarkably smaller than diameter nanowire, evidencing a phonon reduced below Casimir limit. Monte Carlo simulations highlight this effect can be attributed to significant multiple scattering ballistic phonons occurring on surfaces. This result...
On-going prediction and synthesis of two-dimensional materials attract remarkable attention to engineer high performance intended devices. Through this, comprehensive detailed uncovering the material properties could be accelerated achieve this goal. Hexagonal boron arsenide (h-BAs), a graphene counterpart, is among most attractive 2D semiconductors. In work, our objective explore mechanical, electronic, thermal h-BAs. We found that novel can show elastic modulus 260 GPa, which independent...
Penta-NiN 2 , a novel pentagonal 2D sheet with potential nanoelectronic applications, is investigated in terms of its lattice thermal conductivity, stability, and mechanical behavior.