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Retraction notice to: Microstructure and tribological characterizations of Ni-based self-lubricating coating (Wear (2010) 268(3?4) (599?604), (S0043164809005614) (10.1016/j.wear.2009.10.008)) EI Scopus
其他 | 2018 , 414-415 , 390
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This article has been retracted: please see Elsevier Policy on Article Withdrawal (http://www.elsevier.com/locate/withdrawalpolicy). This article has been retracted from Wear upon the authors’ request. It was discovered after publication that due to a power supply stability and metering problem, the sintering conditions stated in the paper to produce the materials that were described in the paper could not be replicated in later trials. In view of these uncertainties in procedure, and with the authors’ approval, this paper has been retracted and should not be cited in future publications. © 2009 Elsevier B.V.

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GB/T 7714 Liu, C.H. , Ding, C.H. . Retraction notice to: Microstructure and tribological characterizations of Ni-based self-lubricating coating (Wear (2010) 268(3?4) (599?604), (S0043164809005614) (10.1016/j.wear.2009.10.008)) [未知]. 15 November 2018.
MLA Liu, C.H. 等. "Retraction notice to: Microstructure and tribological characterizations of Ni-based self-lubricating coating (Wear (2010) 268(3?4) (599?604), (S0043164809005614) (10.1016/j.wear.2009.10.008))" [未知]. 15 November 2018.
APA Liu, C.H. , Ding, C.H. . Retraction notice to: Microstructure and tribological characterizations of Ni-based self-lubricating coating (Wear (2010) 268(3?4) (599?604), (S0043164809005614) (10.1016/j.wear.2009.10.008)) [未知]. 15 November 2018.
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Correction: Giant resistive switching in mixed phase BiFeO3 via phase population control (Nanoscale (2018) 10 (17629-17637) DOI: 10.1039/C8NR03653E) EI Scopus
其他 | 2018 , 10 (41) , 19638
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The authors have noticed that the name of one of the co-authors was spelt incorrectly in the originally published version of this article. 'Sayed O. Sayedghaee' should have been spelt 'Sayed O. Sayedaghaee' as provided in the corrected author list above. The Royal Society of Chemistry apologises for these errors and any consequent inconvenience to authors and readers. © 2018 The Royal Society of Chemistry.

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GB/T 7714 Edwards, David , Browne, Niall , Holsgrove, Kristina M. et al. Correction: Giant resistive switching in mixed phase BiFeO3 via phase population control (Nanoscale (2018) 10 (17629-17637) DOI: 10.1039/C8NR03653E) [未知]. November 7, 2018.
MLA Edwards, David et al. "Correction: Giant resistive switching in mixed phase BiFeO3 via phase population control (Nanoscale (2018) 10 (17629-17637) DOI: 10.1039/C8NR03653E)" [未知]. November 7, 2018.
APA Edwards, David , Browne, Niall , Holsgrove, Kristina M. , Naden, Aaron B. , Sayedaghaee, Sayed O. , Xu, Bin et al. Correction: Giant resistive switching in mixed phase BiFeO3 via phase population control (Nanoscale (2018) 10 (17629-17637) DOI: 10.1039/C8NR03653E) [未知]. November 7, 2018.
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Correction: Intrinsically ferromagnetic Fe-doped TiO2 coatings on titanium for accelerating osteoblast response: In vitro (Journal of Materials Chemistry B (2018) DOI: 10.1039/c8tb01414k) EI Scopus
其他 | 2018 , 6 (39) , 6334
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The authors regret that an error was included in Fig. 7, in that the incorrect fluorescence image is shown in the Fe1 column at 3d.The corrected Fig. 7 is shown below. The captions remain the same.(Figure Peresented).The Royal Society of Chemistry apologises for these errors and any consequent inconvenience to authors and readers. © The Royal Society of Chemistry.

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GB/T 7714 Li, Kai , Yan, Ting , Xue, Yang et al. Correction: Intrinsically ferromagnetic Fe-doped TiO2 coatings on titanium for accelerating osteoblast response: In vitro (Journal of Materials Chemistry B (2018) DOI: 10.1039/c8tb01414k) [未知]. 2018.
MLA Li, Kai et al. "Correction: Intrinsically ferromagnetic Fe-doped TiO2 coatings on titanium for accelerating osteoblast response: In vitro (Journal of Materials Chemistry B (2018) DOI: 10.1039/c8tb01414k)" [未知]. 2018.
APA Li, Kai , Yan, Ting , Xue, Yang , Guo, Lijun , Zhang, Lan , Han, Yong . Correction: Intrinsically ferromagnetic Fe-doped TiO2 coatings on titanium for accelerating osteoblast response: In vitro (Journal of Materials Chemistry B (2018) DOI: 10.1039/c8tb01414k) [未知]. 2018.
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Probing glassiness in Heuslers via density functional theory calculations Scopus
其他 | 2018 , 275 , 153-182
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© Springer Nature Switzerland AG 2018. Heusler compounds and alloys form a unique class of intermetallic systems with functional properties interfering with basic questions of fundamental aspects of materials science. Among the functional properties, the magnetic shape memory behavior (Planes et al., J Phys: Condens Matter 21:233201 (29 pp), 2009) and the ferrocaloric effects like the inverse magnetocaloric effect which is associated with the first order magnetostructural transformation with a jump-like change of the magnetization with lowering of temperature (Acet et al., Magnetic-field-induced effects in martensitic Heusler-based magnetic shape memory alloys. In: Bushow KHJ (ed) Handbook of magnetic materials, vol 19. North-Holland, Amsterdam, pp 231–289, 2011) have been intensively investigated in various reviews. Important references can be found in Acet et al. (Magnetic-field-induced effects in martensitc Heusler-based magnetic shape memory alloys. In: Bushow KHJ (ed) Handbook of magnetic materials, vol 19. North-Holland, Amsterdam, pp 231–289, 2011). Besides magnetocaloric effects, other ferroic cooling mechanisms of Heuslers (electrocaloric, barocaloric, and elastocaloric ones) have recently been discussed by Xavier Moya et al. (Nat Mater 13:439–450, 2014). A discussion of caloric effects in ferroic materials including a brief discussion of the importance of correlating time and length scales can be found in Fähler et al. (Adv Eng Mater 14:10–19, 2012). In the present article, we emphasize this item further by showing that, in particular, the physics at different time scales leads to markedly different properties of the Heusler materials. “Rapidly quenched” alloys behave differently from “less rapidly quenched” alloys. In the latter case, the so-called magnetostructural transformation may vanish altogether because of segregation of the alloys into the stoichiometric L21 Heusler phase and L10 Ni-Mn occurs. We argue that this tendency for segregation is at the origin of glassiness in Heuslers.

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GB/T 7714 Entel, P. , Gruner, M. E. , Acet, M. et al. Probing glassiness in Heuslers via density functional theory calculations [未知]. 2018-01-01.
MLA Entel, P. et al. "Probing glassiness in Heuslers via density functional theory calculations" [未知]. 2018-01-01.
APA Entel, P. , Gruner, M. E. , Acet, M. , Hucht, A. , Çakır, A. , Arróyave, R. et al. Probing glassiness in Heuslers via density functional theory calculations [未知]. 2018-01-01.
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Phase field model and computer simulation of strain glasses Scopus
其他 | 2018 , 275 , 253-272
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© Springer Nature Switzerland AG 2018. Strain glass is a new structural state in ferroelastic materials, which offers unique transition behavior and properties. In this chapter, we introduce a phase field model of strain glass systems and study their transition behavior and the associated properties by computer simulations. Local stresses associated with randomly distributed defects, including point defects and extended defects (dislocations and concentration modulations), are found to play the most important role in the formation of strain glass, by suppressing autocatalysis in nucleation and confining the growth of martensitic domains. A broad distribution of defect strength leads to continued nucleation and growth of martensitic domains in a broad temperature or stress range and renders the otherwise sharp first-order martensitic transformation into a broadly smeared “diffuse” strain glass transition with slim hysteresis, nearly linear superelasticity, ultralow elastic modulus and Invar and Elinvar anomalies. New strategies for designing strain glass systems with large recoverable strain are discussed.

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GB/T 7714 Wang, Dong , Ren, Xiaobing , Wang, Yunzhi . Phase field model and computer simulation of strain glasses [未知]. 2018-01-01.
MLA Wang, Dong et al. "Phase field model and computer simulation of strain glasses" [未知]. 2018-01-01.
APA Wang, Dong , Ren, Xiaobing , Wang, Yunzhi . Phase field model and computer simulation of strain glasses [未知]. 2018-01-01.
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Strain glasses Scopus
其他 | 2018 , 275 , 183-203
WoS CC Cited Count: 1
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© Springer Nature Switzerland AG 2018. Since its discovery in 2005 in a Ni-rich Ti-Ni alloy, strain glass has drawn much attention in martensite/ferroelastic community and has been reported to be a rather general phenomenon in martensitic/ferroelastic systems. In this chapter we present a review of strain glass, including a brief history, its physical origin, its generic phase diagram, followed by presenting strain glasses in various martensitic/ferroelastic systems induced by 0D defects (point defects), 1D defects (dislocations), and 3D defects (nano-precipitates), respectively. The material systems include Ti-Ni-based systems, Ti-Pd-based systems, Ti-based alloys, ferromagnetic shape memory alloys and ceramics. We further show that strain glass can result in technologically important properties such as the “Gum metal” properties, high damping, and giant magnetostriction at small field, thus making strain glass a promising candidate for novel structural/functional materials. Finally, a “ferroic glass” concept (the glass form of ferroic materials) is introduced by combining three physically parallel glasses: strain glass, relaxor ferroelectrics, and cluster spin glass. It is expected that ferroic glasses and generic ferroic glasses may yield unique mechanical, electrical, magnetic properties, and thus may lead to a new class of structural/functional materials.

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GB/T 7714 Ji, Yuanchao , Ren, Shuai , Wang, Dong et al. Strain glasses [未知]. 2018-01-01.
MLA Ji, Yuanchao et al. "Strain glasses" [未知]. 2018-01-01.
APA Ji, Yuanchao , Ren, Shuai , Wang, Dong , Wang, Yu , Ren, Xiaobing . Strain glasses [未知]. 2018-01-01.
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Discrete Pseudo spin and continuum models for strain glass Scopus
其他 | 2018 , 275 , 205-217
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© Springer Nature Switzerland AG 2018. Strain glass refers to a frozen disordered state of lattice strain, conjugate to the long-range ordering in ferroelastics. A number of descriptions have been invoked over the last few years to model strain glasses. These include the continuum Landau free energy approach with added disorder, and the discrete pseudo spin model. We review these and focus on the discrete pseudo spin model, which is derived from the continuum Landau model in the sharp interface limit. We also show how the pseudo spin model leads to predictions that can be confirmed experimentally. We conclude by briefly discussing how the continuum model can be coupled with machine learning to provide a basis for rapidly finding material attributes that optimize alloy response.

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GB/T 7714 Xue, Dezhen , Lookman, Turab . Discrete Pseudo spin and continuum models for strain glass [未知]. 2018-01-01.
MLA Xue, Dezhen et al. "Discrete Pseudo spin and continuum models for strain glass" [未知]. 2018-01-01.
APA Xue, Dezhen , Lookman, Turab . Discrete Pseudo spin and continuum models for strain glass [未知]. 2018-01-01.
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On the environmental responsibility of Chinese enterprises for their FDIs in countries within the belt and road initiative Scopus
其他 | 2018 , 183-205
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GB/T 7714 Hu, Desheng , Ou, Jun , Hu, Xueyue . On the environmental responsibility of Chinese enterprises for their FDIs in countries within the belt and road initiative [未知]. 2018-08-18.
MLA Hu, Desheng et al. "On the environmental responsibility of Chinese enterprises for their FDIs in countries within the belt and road initiative" [未知]. 2018-08-18.
APA Hu, Desheng , Ou, Jun , Hu, Xueyue . On the environmental responsibility of Chinese enterprises for their FDIs in countries within the belt and road initiative [未知]. 2018-08-18.
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Importance of feature selection in machine learning and adaptive design for materials Scopus
其他 | 2018 , 280 , 59-79
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© 2018, Springer Nature Switzerland AG. In materials informatics, features (or descriptors) that capture trends in the structure, chemistry and/or bonding for a given chemical composition are crucial. Here, we explore their role in the accelerated search for new materials using machine learning adaptive design. We focus on a specific class of materials referred to as apatites [A10(BO4)6X2] and our objective is to identify an apatite compound with the largest band gap (Eg) without performing density functional theory calculations over the entire composition space. We construct three datasets that use three sets of features of the A, B, and X-ions (ionic radii, electronegativities, and the combination of both) and independently track which of these sets finds most rapidly the composition with the largest E g. We find that the combined feature set performs best, followed by the ionic radii feature set. The reason for this ranking is the B-site ionic radius, which is the key E g -governing feature and appears in both the ionic radii and combined feature sets. Our results show that a relatively poor ML model with large error but one that contains key features can be more efficient in accelerating the search than a low-error model that lack such features.

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GB/T 7714 Balachandran, Prasanna V. , Xue, Dezhen , Theiler, James et al. Importance of feature selection in machine learning and adaptive design for materials [未知]. 2018-01-01.
MLA Balachandran, Prasanna V. et al. "Importance of feature selection in machine learning and adaptive design for materials" [未知]. 2018-01-01.
APA Balachandran, Prasanna V. , Xue, Dezhen , Theiler, James , Hogden, John , Gubernatis, James E. , Lookman, Turab . Importance of feature selection in machine learning and adaptive design for materials [未知]. 2018-01-01.
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Optimal Synthesis of Multi-Component Refinery Hydrogen Network Scopus
其他 | 2018 , 44 , 1069-1074
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© 2018 Elsevier B.V. Nowadays, the demand for hydrogen in refineries has been increasing rapidly and it is reported that the cost of hydrogen has become the second biggest cost for refineries. As a result, the optimal synthesis of refinery hydrogen network can effectively save hydrogen resources and alleviate the deficit of hydrogen in refinery. In this paper, a superstructure-based mathematical model for the synthesis of refinery hydrogen network with multiple components is constructed. All the possible connections between those units are taken into consideration. Four components, namely H2, H2S, C3 + and other components are included, and it leads to a multi-component model. One industrial case is analysed to illustrate the feasibility and applicability of the proposed mathematical model. 9.8 % of reduction on the flowrate of shift gas in optimal hydrogen plant can be achieved.

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hydrogen network mathematical programming multi-component optimization

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GB/T 7714 Deng, Chun , Zhu, Meiqian , Zhou, Yeyang et al. Optimal Synthesis of Multi-Component Refinery Hydrogen Network [未知]. 2018-01-01.
MLA Deng, Chun et al. "Optimal Synthesis of Multi-Component Refinery Hydrogen Network" [未知]. 2018-01-01.
APA Deng, Chun , Zhu, Meiqian , Zhou, Yeyang , Feng, Xiao . Optimal Synthesis of Multi-Component Refinery Hydrogen Network [未知]. 2018-01-01.
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