Correlation between average melting temperature and glass transition temperature in metallic glasses

Lu, Zhibin; Li, Jiangong

doi:10.1063/1.3081028

Cited by 20 publications

(12 citation statements)

References 23 publications

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“…From a statistical viewpoint, this suggests that, in the past, one tended to select high melting point elements for AM, whereas low melting point elements for IM. According to Lu et al, 43 the glass transition point T g of a metallic glass is correlated with T m through the relation Fig. 3 The possible correlation of the design parameters and experimentally obtained phases.…”

Section: Discussionmentioning

confidence: 99%

Machine learning guided appraisal and exploration of phase design for high entropy alloys

et al. 2019

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High entropy alloys (HEAs) and compositionally complex alloys (CCAs) have recently attracted great research interest because of their remarkable mechanical and physical properties. Although many useful HEAs or CCAs were reported, the rules of phase design, if there are any, which could guide alloy screening are still an open issue. In this work, we made a critical appraisal of the existing design rules commonly used by the academic community with different machine learning (ML) algorithms. Based on the artificial neural network algorithm, we were able to derive and extract a sensitivity matrix from the ML modeling, which enabled the quantitative assessment of how to tune a design parameter for the formation of a certain phase, such as solid solution, intermetallic, or amorphous phase. Furthermore, we explored the use of an extended set of new design parameters, which had not been considered before, for phase design in HEAs or CCAs with the ML modeling. To verify our ML-guided design rule, we performed various experiments and designed a series of alloys out of the Fe-Cr-Ni-Zr-Cu system. The outcomes of our experiments agree reasonably well with our predictions, which suggests that the ML-based techniques could be a useful tool in the future design of HEAs or CCAs.

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Section: Discussionmentioning

confidence: 99%

Machine learning guided appraisal and exploration of phase design for high entropy alloys

et al. 2019

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“…Nevertheless, as recently shown [43], in the case of amorphous alloys, the temperature of reference is rather the glass transition temperature than the melting point. The glass transition temperature at the biphased composition calculated using the model presented in [44] is T g = 997 K, much lower than the melting temperatures of Zr and Mo. Hence, the amorphous structure favors the adatom mobility and, thereby, the diffusion of adatoms into the grain boundaries, likely facilitating the nucleation of the crystalline phase.…”

Section: 3mentioning

confidence: 92%

Controlling surface morphology by nanocrystalline/amorphous competitive self-phase separation in thin films: Thickness-modulated reflectance and interference phenomena

et al. 2019

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Controlling surface morphology is a key issue for obtaining functional materials with surface-based properties. In this paper, we explore the possibility of using the self-separation of phases as a way of controlling the surface morphology features. We demonstrate using X-ray diffraction and transmission electron microscopy that a competitive self-separation of a nanocrystalline and an amorphous phases occurs in co-sputtered Zr-Mo thin films with a Mo content of 60 at%, corresponding to a composition intermediate to those necessary to form single-phased amorphous and nanocrystalline films. The dependence of the residual stress with the thickness at the biphased composition is discussed in terms of the morphology evolution and a possible mechanism for the self-separation of phases is presented. We show that the self-separation of phases as presented here is not limited to Zr-Mo alloys and can be extended to other systems. By changing the film thickness, it is possible to change the surface morphology of the films at the biphasic composition, due to the competitive growth of the nanocrystalline phase in the amorphous phase. In this way, it was possible to control the surface roughness and, because of this, tuning the film reflectance at a determined wavelength. The occurrence of an interference pattern in the reflectance spectra was discussed and associated to the presence of two different height levels at the film surface.

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“…Moreover such features have roughly similar effects on both properties so that the empirical rule has been found that for many polymers [12]. The correlation between T m and T g in metallic glasses (MGs) is analyzed by Lu and Li in 2009 [13]. A linear relationship, T g = 0.385 ± (T m ), is reported.…”

Section: Resultsmentioning

confidence: 99%

Synthesis and Characterization of Chlorine-methoxy-diphenylquinoline (Cl-MO-DPQ) and Chlorine-methyl-diphenylquinoline (Cl-M-DPQ) Blue Emitting Organic Phosphors

Zade¹,

Dhoble²,

Raut³

et al. 2011

JMP

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New series of blue light emitting diphenylquinoline (DPQ) and its derivatives based on Chlorine-Methoxy (Cl-MO-DPQ) and Chlorine-Methyl (Cl-M-DPQ) were synthesized in Argon atmosphere at 140˚C by Friedlander condensation. These all samples were soluble in many organic solvents like Acetic acid, Formic acid, Dichloromethane etc. in different molar concentrations up to micro molar. It emits blue light in above solvents under UV source. All samples in different organic solvents were studied. Structural characterization was made by FTIR. Ultraviolet, fluorescence and excitation spectroscopy were used for analysis of photo physical properties. Thermal properties were characterized by TGA and SDTA. The derivatives Cl-MO-DPQ and Cl-M-DPQ show absorbance peaks in the range 264 -370 nm and 264 -338 nm respectively. In both the cases the emission spectra are in blue region. The TGA and SDTA studies show not only the DPQ but also it's derivatives have good thermal stability even though they are low molecular weight organic compounds, which may in turn improve the stability and operating lifetime of the device. The physical and chemical properties of these polymers are useful as a blue emitting organic material for OLED's.

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Correlation between average melting temperature and glass transition temperature in metallic glasses

Cited by 20 publications

References 23 publications

Machine learning guided appraisal and exploration of phase design for high entropy alloys

Machine learning guided appraisal and exploration of phase design for high entropy alloys

Controlling surface morphology by nanocrystalline/amorphous competitive self-phase separation in thin films: Thickness-modulated reflectance and interference phenomena

Synthesis and Characterization of Chlorine-methoxy-diphenylquinoline (Cl-MO-DPQ) and Chlorine-methyl-diphenylquinoline (Cl-M-DPQ) Blue Emitting Organic Phosphors

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