scholarly journals MD-Simulation of Molten (Li, K)Cl at the Eutectic Composition. Self-Exchange Velocities of Li- and K-Isotopes near the Cl--Ions

1987 ◽  
Vol 42 (1) ◽  
pp. 21-28 ◽  
Author(s):  
Isao Okada

Molecular dynamics simulation (MD) has been done for a molten (Li, K)Cl mixture of the eutectic composition at about 700 K, 950 K and 1100 K and, for comparison, also for pure LiCl and KCl at about 950 K and 1100 K The atomic masses of half the Li+ and K+ ions have been set at 6.941 and 39.098, respectively. Self-exchange velocities (SEV’s) of these cations have been calculated. The Chemla effect is reflected by the SEV’s. The isotope effects of the SEV’s in the mixture increase slightly with temperature. The motions of the cations with respect to the adjacent CI- are classified into four modes: (1) an oscillating motion, (2) a leaving motion, (3) a wandering motion and (4) a coming-back motion. It is found that the velocity of the leaving motion is dependent only on the masses and the temperature, and independent of the kind of cations and the composition.

CrystEngComm ◽  
2019 ◽  
Vol 21 (48) ◽  
pp. 7507-7518 ◽  
Author(s):  
Soroush Ahmadi ◽  
Yuanyi Wu ◽  
Sohrab Rohani

Molecular dynamics (MD) simulation is used to investigate the mechanism of crystal nucleation of potassium chloride (KCl) in a supersaturated aqueous solution at 293 K and 1 atm.


2019 ◽  
Vol 20 (4) ◽  
pp. 819 ◽  
Author(s):  
Md Rehman ◽  
Mohamed AlAjmi ◽  
Afzal Hussain ◽  
Gulam Rather ◽  
Meraj Khan

The bacteria expressing New Delhi Metallo-β-lactamase-1 (NDM-1) can hydrolyze all β-lactam antibiotics including carbapenems, causing multi-drug resistance. The worldwide emergence and dissemination of gene blaNDM-1 (produces NDM-1) in hospital and community settings, rising problems for public health. Indeed, there is an urgent need for NDM-1 inhibitors to manage antibiotic resistance. Here, we have identified novel non-β-lactam ring-containing inhibitors of NDM-1 by applying a high-throughput virtual screening of lead-like subset of ZINC database. The screened compounds were followed for the molecular docking, the molecular dynamics simulation, and then enzyme kinetics assessment. The adopted screening procedure funnels out five novel inhibitors of NDM-1 including ZINC10936382, ZINC30479078, ZINC41493045, ZINC7424911, and ZINC84525623. The molecular mechanics-generalized born surface area and molecular dynamics (MD) simulation showed that ZINC84525623 formed the most stable complex with NDM-1. Furthermore, analyses of the binding pose after MD simulation revealed that ZINC84525623 formed two hydrogen bonds (electrostatic and hydrophobic interaction) with key amino acid residues of the NDM-1 active site. The docking binding free energy and docking binding constant for the ZINC84525623 and NDM-1 interaction were estimated to be −11.234 kcal/mol, and 1.74 × 108 M−1 respectively. Steady-state enzyme kinetics in the presence of ZINC84525623 show the decreased catalytic efficiency (i.e., kcat/Km) of NDM-1 on various antibiotics. The findings of this study would be helpful in identifying novel inhibitors against other β-lactamases from a pool of large databases. Furthermore, the identified inhibitor (ZINC84525623) could be developed as efficient drug candidates.


Author(s):  
Rapeepan Promyoo ◽  
Hazim El-Mounayri ◽  
Kody Varahramyan

In this paper, a developed three-dimensional model for AFM-based nanomachining is applied to study mechanical scratching at the nanoscale. The correlation between the scratching conditions, including applied force, scratching depth, and distant between any two scratched grooves, and the defect mechanism in the substrate/workpiece is investigated. The simulations of nanoscratching process are performed on different crystal orientations of single-crystal gold substrate, Au(100), Au(110), and Au(111). The material deformation and groove geometry are extracted from the final locations of atoms, which are displaced by the rigid indenter. The simulation also allows for the prediction of normal and friction forces at the interface between the indenter and substrate. An AFM is used to conduct actual scratching at the nanoscale, and provide measurements to which the MD simulation predictions are compared. The predicted forces obtained from MD simulation compares qualitatively with the experimental results.


RSC Advances ◽  
2016 ◽  
Vol 6 (72) ◽  
pp. 67619-67629 ◽  
Author(s):  
Hamed Akbarzadeh ◽  
Mohsen Abbaspour ◽  
Esmat Mehrjouei

In this work, we have investigated the heating and cooling processes for ternary metallic nanoclusters with different Au mole fractions using molecular dynamics simulation.


2016 ◽  
Vol 683 ◽  
pp. 626-631 ◽  
Author(s):  
Ivan Konovalenko ◽  
Igor S. Konovalenko ◽  
Andrey Dmitriev ◽  
Serguey Psakhie ◽  
Evgeny A. Kolubaev

Mass transfer has been studied at atomic scale by molecular dynamics simulation of friction stir welding and vibration-assisted friction stir welding using the modified embedded atom potential. It was shown that increasing the velocity movement and decreasing the angle velocity of the tool reduce the penetration depth of atoms into the opposite crystallite in the connected pair of metals. It was shown also that increasing the amplitude of vibrations applied to the friction stir welding tool results in increasing the interpenetration of atoms belonging to the crystallites joined


2017 ◽  
Vol 19 (45) ◽  
pp. 30822-30833 ◽  
Author(s):  
Syed Tarique Moin ◽  
Thomas S. Hofer

The ab initio quantum mechanical charge field molecular dynamics (QMCF-MD) simulation approach was successfully applied to Fe2+–P and Fe3+–P in water to evaluate their structural, dynamical and energetic properties.


RSC Advances ◽  
2014 ◽  
Vol 4 (22) ◽  
pp. 11475-11480 ◽  
Author(s):  
Yao-Chun Wang ◽  
Shin-Pon Ju ◽  
Chien-Chia Chen ◽  
Hsin-Tsung Chen ◽  
Jin-Yuan Hsieh

Molecular dynamics (MD) simulation was used to investigate the mechanical properties of several starch composites.


2013 ◽  
Vol 844 ◽  
pp. 209-213
Author(s):  
Natthida Rakkapao

Molecular Dynamics (MD) simulation was employed to study the diffusivity of biogas in a PI matrix with the aim to verify simulations as a useful tool to predict PI membrane properties for biogas treatment. The simulation model of PI numerical was reliable and accurate in predicting both the material properties and the diffusivity of gases in PI matrix. The diffusion coefficients (D) of the major components in biogas, namely CH4, CO2, H2O, O2, and N2, were computed by simulating trajectories of each gas in PI matrix at 300 K. The simulations gave DCO2 that was 6 times larger than DCH4, and this agrees well with permeabilities reported in the literature. This suggests that PI membranes could be used to treat biogas by separating CO2 and CH4. However, the diffusivities of N2, H2O, and CH4 are closely similar, so PI membranes are not capable of separating these. The potential application of PI membrane to CO2/CH4 separation seems worth further exploration.


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