scholarly journals Nanoparticles’ and atoms’ geometrowave potential quantified and unified properties

Author(s):  
Zheng Tian

By quantizing the surface-to-volume ratio into a wave-number, this work has introduced a geometro-wave (GW) energy that fits linearly with atoms' and nanoparticles "size-dependent" properties of many types. The data linear fittings consistently support that nanoparticle's atomistic nature is the surface atom-layering that resembles the atom surface electron-layering which governs both nanoparticles and atoms geometry-quantized properties.

2020 ◽  
Author(s):  
Zheng Tian

By quantizing the surface-to-volume ratio into a wave-number, this work has introduced a geometro-wave (GW) energy that fits linearly with atoms' and nanoparticles "size-dependent" properties of many types. The data linear fittings consistently support that nanoparticle's atomistic nature is the surface atom-layering that resembles the atom surface electron-layering and governs both atoms and nanoparticles geometry-dependent properties.


2019 ◽  
Author(s):  
Zheng Tian

By quantizing the surface-to-volume ratio into a wave-number, this work has introduced a geometro-wave (GW) energy that fits linearly with atoms' and nanoparticles "size-dependent" properties of many types. The nanoparticles such properties atomistic nature, together with the atom-like nanoparticle's surface atom-layering much like atom surface electron-layering, has been revealed.


2020 ◽  
Author(s):  
Zheng Tian

By quantizing the surface-to-volume ratio into a wave-number, this work has introduced a geometro-wave (GW) energy that fits linearly with atoms' and nanoparticles "size-dependent" properties of many types. The data linear fittings consistently support that nanoparticle's atomistic nature is the surface atom-layering that resembles the atom surface electron-layering which governs both nanoparticles and atoms geometry-quantized properties.


2020 ◽  
Author(s):  
Zheng Tian

By quantizing the surface-to-volume ratio into a wave-number, this work has introduced a geometro-wave (GW) energy that fits linearly with atoms' and nanoparticles "size-dependent" properties of many types. The data linear fittings consistently support that nanoparticle's atomistic nature is the surface atom-layering that resembles the atom surface electron-layering and governs both atoms and nanoparticles geometry-dependent properties.


2020 ◽  
Author(s):  
Zheng Tian

By quantizing the surface-to-volume ratio into a wave-number, this work has introduced a geometro-wave (GW) energy that fits linearly with atoms' and nanoparticles "size-dependent" properties of many types. The data linear fittings consistently support that nanoparticle's atomistic nature is the surface atom-layering that resembles the atom surface electron-layering which governs both nanoparticles and atoms geometry-quantized properties.


2020 ◽  
Author(s):  
Zheng Tian

By quantizing the surface-to-volume ratio into a wave-number, this work has introduced a geometro-wave (GW) energy that fits linearly with atoms' and nanoparticles "size-dependent" properties of many types. The data linear fittings consistently support that nanoparticle's atomistic nature is the surface atom-layering that resembles the atom surface electron-layering which governs both nanoparticles and atoms geometry-quantized properties.


Author(s):  
Amir-Reza Asghari Ardalani ◽  
Ahad Amiri ◽  
Roohollah Talebitooti ◽  
Mir Saeed Safizadeh

Wave dispersion response of a fluid-carrying piezoelectric nanotube is studied in this paper utilizing an improved model for piezoelectric materials which capture a new effect known as flexoelectricity in conjunction with the surface elasticity. For this aim, a higher order shear deformation theory is employed to model the problem. Furthermore, strain gradient effect as well as nonlocal effect is taken into consideration throughout using the nonlocal strain gradient theory (NSGT). Surface elasticity is also considered to make an accurate size-dependent formulation. Additionally, a non-compressible and non-viscous fluid is taken into consideration to model the flow effect. The wave propagation solution is then implemented to the governing equations obtained by Hamiltonian’s approach. The phase velocity and group velocity of the nanotube is determined for three wave modes (i.e. shear, longitudinal and bending waves) to study the influence of various involved factors including strain gradient, nonlocality, flexoelectricity and surface elasticity and flow velocity on the wave dispersion curves. Results reveal a considerable effect of the flexoelectric phenomenon on the wave propagation properties especially at a specific domain of the wave number. The size-dependency of this effect is disclosed. Overall, it is found that the flexoelectricity exhibits a substantial influence on wave dispersion properties of the smart fluid-conveying systems. Hence, such size-dependent effect should be considered to achieve exact and accurate knowledge on wave propagation characteristics of the system.


2021 ◽  
Author(s):  
Chuchu Chen ◽  
Xiaoxiang Wang ◽  
Kurt Binder ◽  
Mohammad Mehdi Ghahremanpour ◽  
David van der Spoel ◽  
...  

Abstract. Size-dependent solubility is prevalent in atmospheric nanoparticles, but a molecular level understanding is still insufficient, especially for organic compounds. Here, we performed molecular dynamics simulations to investigate the size dependence of succinic acid solvation on the scale of ~1–4 nm with the potential of mean forces method. Our analyses reveal that the surface preference of succinic acid is stronger for a droplet than the slab of the same size, and the surface propensity is enhanced due to the curvature effect as the droplet becomes smaller. Energetic analyses show that such surface preference is primarily an enthalpic effect in both systems, while the entropic effect further enhances the surface propensity in droplets. On the other hand, with decreasing droplet size, the solubility of succinic acid in the internal bulk volume may decrease, imposing an opposite effect on the size dependence of solubility as compared with the enhanced surface propensity. Meanwhile, structural analyses, however, show that the surface to internal bulk volume ratio increases drastically, especially when considering the surface in respect to succinic acid, e.g., for droplet with radius of 1 nm, the internal bulk volume would be already close to zero for the succinic acid molecule.


2021 ◽  
Author(s):  
Chuchu Chen ◽  
Xiaoxiang Wang ◽  
Kurt Binder ◽  
Mohammad Mehdi Ghahremanpour ◽  
David van der Spoel ◽  
...  

<p>Size-dependent solubility is prevalent in atmospheric nanoparticles, but a molecular level understanding is still insufficient, especially for organic compounds. Here, we performed molecular dynamics simulations to investigate the size dependence of succinic acid solvation on the scale of ~1-4 nm with the potential of mean forces method. Our analyses reveal that the surface preference of succinic acid is stronger for a droplet than the slab of the same size, and the surface propensity is enhanced due to the curvature effect as the droplet becomes smaller. Energetic analyses show that such surface preference is primarily an enthalpic effect in both systems, while the entropic effect further enhances the surface propensity in droplets. On the other hand, with decreasing droplet size, the solubility of succinic acid in the internal bulk volume may decrease, imposing an opposite effect on the size dependence of solubility as compared with the enhanced surface propensity. Meanwhile, structural analyses, however, show that the surface to internal bulk volume ratio increases drastically, especially when considering the surface in respect to succinic acid, e.g., for droplet with radius of 1 nm, the internal bulk volume would be already close to zero for the succinic acid molecule.</p>


Author(s):  
Dimitris Stavrou ◽  
Emily Michailidi ◽  
Giannis Sgouros ◽  
Kyriaki Dimitriadi

Science education research has recognized the potential of NanoScience and nanoTechnology (NST) due to its contribution to scientific literacy of future generations. Scholars have identified nine “Big Ideas” as important enough to teach in order to understand NST issues. Based on these “Big Ideas” a teaching learning sequence for lower secondary students has been developed focused on: Size and Scale, Tools and Instrumentation, Size-Dependent Properties and Science-Technology-Society. The teaching sequence was implemented in a class of 15 students of a lower secondary school (8th grade; aged 14-15). Seven meetings took place; each one lasting about ninety minutes. The course was structured as follows: 1. Introduction. 2. How small is a nanometer? 3. How can we “see” the nanoworld? 4. Size-dependent properties: Change of the surface area to volume ratio. 5. Explaining the behavior of different textiles (ranged from hydrophilic to hydrophobic) when absorbing water drops. 6. Explaining color changes in gold nanoparticles. 7. Risk assessment of nanotechnology. Data have been collected by questionnaires, interviews, students’ worksheets and field notes. The results seem to be encouraging for the teaching of NST issues even in lower levels of education.


Sign in / Sign up

Export Citation Format

Share Document