Effect of grain size on the melting point of confined thin aluminum films

Wejrzanowski, Tomasz; Lewandowska, M.; Sikorski, K.; Kurzydłowski, Krzysztof J.

doi:10.1063/1.4899240

Cited by 23 publications

(14 citation statements)

References 90 publications

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“…As can be seen, is also the smallest in n-YBCO, 1024.6 C, although the difference is not prominent, being 1026.0 C and 1027.1 C in 1- and 2-YBCO, respectively. The considerably broader endotherm of n-YBCO, however, suggests the presence of smaller, nanoscale structures, where gradual depression of the melting temperature has been observed with increasing surface-to-volume ratio 27 .…”

Section: Resultsmentioning

confidence: 99%

Control of the nanosized defect network in superconducting thin films by target grain size

Aye

Rivasto

Khan

et al. 2021

Sci Rep

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A nanograined YBCO target, where a great number of grain boundaries, pores etc. exist, is shown to hold an alternative approach to future pulsed laser deposition based high-temperature superconductor thin film and coated conductor technologies. Although the nanograined material is introduced earlier, in this work, we comprehensively demonstrate the modified ablation process, together with unconventional nucleation and growth mechanisms that produces dramatically enhanced flux pinning properties. The results can be generalized to other complex magnetic oxides, where an increased number of defects are needed for modifying their magnetic and electrical properties, thus improving their usability in the future technological challenges.

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Section: Resultsmentioning

confidence: 99%

Control of the nanosized defect network in superconducting thin films by target grain size

Aye

Rivasto

Khan

et al. 2021

Sci Rep

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“…It is worth mentioning that various factors can affect the magnitude of the melting temperature such as the particle size, crystallite size and structural defects. 27 A higher melting point is expected for the sample with larger crystallite size and reduced defects. However, the slight change in these parameters observed from XRD and SEM for the (Li 2 Fe)S 1Àx Se x O series suggests a minor contribution to the melting temperature.…”

Section: Thermodynamic Investigationsmentioning

confidence: 99%

Tuning the electrochemical properties by anionic substitution of Li-rich antiperovskite (Li₂Fe)S_1−xSe_xO cathodes for Li-ion batteries

et al. 2021

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“…A large number of programs and algorithms have been created to generate digital microstructures using, e.g. image analysis techniques [11], Voronoi tessellation [12,13], cellular automata (CA) [14,15], Monte Carlo (MC) [16,17], Molecular Dynamics (MD) [18], numerical homogenization [19,20] or a combination of these approaches. A detailed review of various mentioned numerical solutions was presented in the author's earlier work [21].…”

Section: Motivationmentioning

confidence: 99%

Cellular Automata-based computational library for development of digital material representation models of heterogenous microstructures

Boguń

Sitko

Mojżeszko

et al. 2021

Archiv.Civ.Mech.Eng

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The development of an efficient numerical approach for the generation of a wide range of heterogeneous microstructures models with the application of the lean workflow concept is presented in the paper. First, the idea and implementation details of the developed cellular automata-based computational library allowing the development of digital material representation models within a workflow are presented in the paper. Such an approach provides the desired flexibility in the generation of various digital models of heterogenous microstructures. Therefore, the proposed library is mostly implemented within the object-oriented C + + programming language with the assumption of modularity. In this case, the main part of the application consists of classes and methods, which can be treated like base elements to be inherited and extended in other libraries. Each additional dynamic link library implements particular algorithms for the generation of specific microstructure features in the digital model within the unified data structures that allow the application of the workflow concept. The set of developed libraries and their assumptions are described as case studies to show the capabilities of the presented solution. Finally, examples of practical applications of the developed library in the full-field numerical simulations of complex material deformation are presented at the end of the paper.

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Effect of grain size on the melting point of confined thin aluminum films

Cited by 23 publications

References 90 publications

Control of the nanosized defect network in superconducting thin films by target grain size

Control of the nanosized defect network in superconducting thin films by target grain size

Tuning the electrochemical properties by anionic substitution of Li-rich antiperovskite (Li₂Fe)S_1−xSe_xO cathodes for Li-ion batteries

Cellular Automata-based computational library for development of digital material representation models of heterogenous microstructures

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Effect of grain size on the melting point of confined thin aluminum films

Cited by 23 publications

References 90 publications

Control of the nanosized defect network in superconducting thin films by target grain size

Control of the nanosized defect network in superconducting thin films by target grain size

Tuning the electrochemical properties by anionic substitution of Li-rich antiperovskite (Li2Fe)S1−xSexO cathodes for Li-ion batteries

Cellular Automata-based computational library for development of digital material representation models of heterogenous microstructures

Contact Info

Product

Resources

About

Tuning the electrochemical properties by anionic substitution of Li-rich antiperovskite (Li₂Fe)S_1−xSe_xO cathodes for Li-ion batteries