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We systematically study the interaction behaviors between a point defect (PD) and two types of 1/2 〈111〉 {110} and 1/2 〈111〉 {112} edge dislocations using molecular dynamics (MD), elastic dipole tensor, and kinetic Monte Carlo (KMC) methods in tungsten (W). We first determine the capture region of a vacancy and four types of self-interstitial atoms (SIAs) by calculating their binding energies to both edge dislocations using MD. We then find anisotropic distributions of the diffusion energy barriers of PDs in dislocation systems employing the MD and elastic dipole tensor methods. Subsequently, we utilize the KMC method to obtain the lifetime of PDs and calculate the capture efficiencies of both edge dislocations to PDs at various temperatures and dislocation densities. Results show the capture efficiency of a vacancy decreases with increasing temperature, while it first increases and then decreases with increasing temperature for SIAs. As dislocation density increases, the capture efficiency of PDs increases. Ultimately, the swelling rate is estimated based on the capture efficiency and falls within the range of experimental data. The swelling rate increases first and then decreases with increasing temperature, and the maximum swelling rate occurs around 1200 K, while it increases with increasing the dislocation density. The present results are critical for understanding the interaction behaviors between PDs and 1/2 〈111〉 edge dislocations in W, which provide an essential database for large-scale simulation methods such as rate theory and phase-field simulations. [ABSTRACT FROM AUTHOR]

Loop-punching is the manner a helium (He) bubble enlarges itself through emitting a dislocation loop during its growth in metals. It has been demonstrated that there are two types of loop-punching: the two-stage loop-punching for small bubbles and the direct loop-punching for large bubbles. In this work, via the molecular dynamics (MD) simulations of helium bubble growth in tungsten (W), we revealed the crucial process from the bubble-attached self-interstitial atoms (SIAs) to the escapable dislocation loop in the two-stage loop-punching. Different from the conventional theory that the loop is merely the collection of the sequentially kicked-out SIAs, it is formed by the synergistic action of the atomic plane on the bubble surface being pushed into interstitial sites and the attached SIA cluster slipping. Building on this, two plastic deformation (PD) modes, the tangential PD and the normal PD, are extracted due to the generated SIAs' directions tangent or normal to the bubble surface. The SIA-accumulation stage and the loop-emission stage of the two-stage loop-punching correspond to the tangential PD and the normal PD, respectively, while the direct loop-punching merely consists of the normal PDs. Therefore, the direct loop-punching is only a special form of the two-stage loop-punching that contains zero previous tangential PDs. Further, it is found the temperature plays an important role in the PD mode switch, suggesting the modes compete on the energy barriers, which accounts for the detachment of the attracted SIA cluster from the bubble. [Display omitted] • The critical process from SIAs to dislocation loop in loop-punching is proposed. • Two plastic deformation modes are extracted for loop-punching. • Plastic deformation modes compete on reaction energy barriers. [ABSTRACT FROM AUTHOR]

The regular operation of transformers is significantly impacted by the insulation effectiveness of the transformer insulation oil–paper. In order to explore the mechanism of the influence of an electric field on the thermal decomposition performance of insulating oil–paper, this paper simulated the process of electrothermal coupling decomposition of insulating oil–paper from the micro-level based on molecular dynamics. It was determined that the insulating oil is made up of three 16-carbon hydrocarbon molecules, while the insulating paper is made up of 30 fibrous disaccharide molecules. Using the molecular dynamics simulation approach, the pyrolysis of the insulating oil and insulating paper under various electric field strengths was simulated, and the lysis of reactants and the distribution of products were statistically examined. This paper also studied how the electric field affected the microscopic process of the insulating oil–paper pyrolysis. The findings demonstrate that under the influence of electrothermal coupling, the big molecules of the insulating oil and insulating paper are pyrolyzed to produce a variety of tiny molecules. For the insulating oil, it is easily subject to electron displacement polarization under the influence of an external electric field since it contains non-polar molecules, especially impacted by an electric field of 100 V/m. For the insulating paper, its polar nature, on the other hand, makes itself a good candidate for guiding polarization when exposed to an external electric field. So, the greater the electric field strength is, the greater the impact on the thermal decomposition of the insulating paper is. [ABSTRACT FROM AUTHOR]

• Machine learning driven study is developed to optimize the interfacial thermal transport between solid/solid heterostructure via interfacial nanostructuring. • Diverse guidance for the optimization of interfacial thermal transport via interfacial structural parameters and contact area are proposed. • The optimization of interfacial thermal transport is uncovered from the phonon mode mismatch and wavelength of phonons. Heat dissipation through interfaces becomes challenging in nanodevices which impedes the dissipation of waste heat. Accordingly, effective approaches are needed to optimize interfacial thermal transport. In this work, by combining the molecular dynamics simulations and machine learning technique, we systematically study the optimization of interfacial thermal transport in Si/Ge heterostructures through interfacial nanostructuring. Three structural parameters are proposed to describe the nanostructures at interfaces and applied to the machine learning driven predictions. The results demonstrate that the interfacial thermal transport significantly depends on the interfacial nanostructures and diverse guidances are discovered for the optimization. When fixing the density of nanostructures, the interfacial thermal resistance has a minimum at specific heights of nanostructures with small angles, while the minimum is gradually disappeared for the nanostructures with larger angles. When fixing the height of nanostructures, there is also a minimum versus density but gradually disappeared with increasing angles. The nonmonotonic dependences on density and height open spaces for the optimization of interfacial thermal transport. Our spectral decomposition analysis provides physical insights into machine learning predictions and optimizations. Finally, we also summarize the machine learning predictions from the perspective of contact area, in which the distinct dependencies on nanostructuring angle and height manifest the feasibility for the further optimization of interfacial thermal transport. Our machine learning driven study provides comprehensive knowledge and guidances for the optimization of interfacial heat dissipation in nanodevices through nanostructuring. [ABSTRACT FROM AUTHOR]

Abstract: We investigate the trapping behaviors of hydrogen (H) in molybdenum (Mo) and tungsten (W) using a first-principles method with a zero point energy correction as well as the molecular dynamics (MD) method. The H trapping is found to generally satisfy the “optimal charge density” rule at the vacancy, and a monovacancy is shown to simultaneously trap 14 H with a H2 molecule formed at the vacancy center in both Mo and W. On the other hand, the MD simulation shows the temperature decreases the number of trapped H at the vacancy. We further propose a generic vacancy trapping mechanism for H bubble formation in metals. The H atoms will first saturate the internal surface of the vacancy (or other vacancy-type defects) to form a “screening layer”, which can screen the interaction between the further trapped H and the surrounding metal atoms. This leads to the formation of H2 molecule at the vacancy center, which can be considered as the preliminary stage of H bubble nucleation. [Copyright &y& Elsevier]

Molecular dynamic simulation is utilized to study the nanocluster and the fuzz structure on the PFM surface of tungsten. The polyhedral and linear cluster structures based on the icosahedron, cuboctahedron and rhombic dodecahedron are built up. Three interatomic potentials are used in calculating the relationship between the cluster energy and the number of atoms. The results are compared with first-principles calculation to show each potential’s best application scale. Furthermore, the transition between the icosahedral and the cuboctahedral clusters is observed in molecular dynamic simulation at different temperatures, which follows a critical curve for different numbers of atoms. The linear structures are proved to be stable at experimental temperatures by thermodynamics. The work presents a selection of interatomic potentials in simulating tungsten cluster systems and helps researchers understand the growth and evolution laws of clusters and the fuzz-like structure formation process in fusion devices. [ABSTRACT FROM AUTHOR]