Molecular dynamics study on melting point of tungsten nanostructures

We used molecular dynamics to study the melting point of tungsten nano-fibers. It is found that the nanoscale effect and helium impurity can significantly reduce the melting point. We use linear model and neural network model to fit the effect of two compound effects on melting point. For fuzz with...
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Autor*in:	Jinlong Wang [verfasserIn] Jun Chai [verfasserIn] Wenqiang Dang [verfasserIn] Xin-Dong Pan [verfasserIn] Xiao-Chun Li [verfasserIn] Guang-Nan Luo [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	Nano-structure Tungsten Melting point Molecular dynamics

Übergeordnetes Werk:	In: Nuclear Materials and Energy - Elsevier, 2016, 33(2022), Seite 101260-
Übergeordnetes Werk:	volume:33 ; year:2022 ; pages:101260-

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.nme.2022.101260

Katalog-ID:	DOAJ00893715X

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520			\|a We used molecular dynamics to study the melting point of tungsten nano-fibers. It is found that the nanoscale effect and helium impurity can significantly reduce the melting point. We use linear model and neural network model to fit the effect of two compound effects on melting point. For fuzz with 1%–4% helium and a diameter of 10–200 nm, its melting point can be reduced by 7.7%–16.4% with linear model and 6.1%–17.0% with neural network model. The actually reduction of melting point may be more than 20% due to the existence of a large number of holes in fuzz and the rough surface of fuzz. The reduction of melting point of tungsten fuzz can accelerate the dynamic phenomenon of fuzz annealing at low temperature, leading to the disappearance of fuzz. Our research is helpful to understand that the temperature limit of fuzz formation is lower than 2000 K to some extent.
650		4	\|a Nano-structure
650		4	\|a Tungsten
650		4	\|a Melting point
650		4	\|a Molecular dynamics
653		0	\|a Nuclear engineering. Atomic power
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700	0		\|a Xiao-Chun Li \|e verfasserin \|4 aut
700	0		\|a Guang-Nan Luo \|e verfasserin \|4 aut
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publishDate	2022
allfields	10.1016/j.nme.2022.101260 doi (DE-627)DOAJ00893715X (DE-599)DOAJ2f03c5ff8e5f4c6ea545367335df1890 DE-627 ger DE-627 rakwb eng TK9001-9401 Jinlong Wang verfasserin aut Molecular dynamics study on melting point of tungsten nanostructures 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We used molecular dynamics to study the melting point of tungsten nano-fibers. It is found that the nanoscale effect and helium impurity can significantly reduce the melting point. We use linear model and neural network model to fit the effect of two compound effects on melting point. For fuzz with 1%–4% helium and a diameter of 10–200 nm, its melting point can be reduced by 7.7%–16.4% with linear model and 6.1%–17.0% with neural network model. The actually reduction of melting point may be more than 20% due to the existence of a large number of holes in fuzz and the rough surface of fuzz. The reduction of melting point of tungsten fuzz can accelerate the dynamic phenomenon of fuzz annealing at low temperature, leading to the disappearance of fuzz. Our research is helpful to understand that the temperature limit of fuzz formation is lower than 2000 K to some extent. Nano-structure Tungsten Melting point Molecular dynamics Nuclear engineering. Atomic power Jun Chai verfasserin aut Wenqiang Dang verfasserin aut Xin-Dong Pan verfasserin aut Xiao-Chun Li verfasserin aut Guang-Nan Luo verfasserin aut In Nuclear Materials and Energy Elsevier, 2016 33(2022), Seite 101260- (DE-627)817363181 (DE-600)2808888-8 23521791 nnns volume:33 year:2022 pages:101260- https://doi.org/10.1016/j.nme.2022.101260 kostenfrei https://doaj.org/article/2f03c5ff8e5f4c6ea545367335df1890 kostenfrei http://www.sciencedirect.com/science/article/pii/S2352179122001417 kostenfrei https://doaj.org/toc/2352-1791 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 33 2022 101260-
spelling	10.1016/j.nme.2022.101260 doi (DE-627)DOAJ00893715X (DE-599)DOAJ2f03c5ff8e5f4c6ea545367335df1890 DE-627 ger DE-627 rakwb eng TK9001-9401 Jinlong Wang verfasserin aut Molecular dynamics study on melting point of tungsten nanostructures 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We used molecular dynamics to study the melting point of tungsten nano-fibers. It is found that the nanoscale effect and helium impurity can significantly reduce the melting point. We use linear model and neural network model to fit the effect of two compound effects on melting point. For fuzz with 1%–4% helium and a diameter of 10–200 nm, its melting point can be reduced by 7.7%–16.4% with linear model and 6.1%–17.0% with neural network model. The actually reduction of melting point may be more than 20% due to the existence of a large number of holes in fuzz and the rough surface of fuzz. The reduction of melting point of tungsten fuzz can accelerate the dynamic phenomenon of fuzz annealing at low temperature, leading to the disappearance of fuzz. Our research is helpful to understand that the temperature limit of fuzz formation is lower than 2000 K to some extent. Nano-structure Tungsten Melting point Molecular dynamics Nuclear engineering. Atomic power Jun Chai verfasserin aut Wenqiang Dang verfasserin aut Xin-Dong Pan verfasserin aut Xiao-Chun Li verfasserin aut Guang-Nan Luo verfasserin aut In Nuclear Materials and Energy Elsevier, 2016 33(2022), Seite 101260- (DE-627)817363181 (DE-600)2808888-8 23521791 nnns volume:33 year:2022 pages:101260- https://doi.org/10.1016/j.nme.2022.101260 kostenfrei https://doaj.org/article/2f03c5ff8e5f4c6ea545367335df1890 kostenfrei http://www.sciencedirect.com/science/article/pii/S2352179122001417 kostenfrei https://doaj.org/toc/2352-1791 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 33 2022 101260-
allfields_unstemmed	10.1016/j.nme.2022.101260 doi (DE-627)DOAJ00893715X (DE-599)DOAJ2f03c5ff8e5f4c6ea545367335df1890 DE-627 ger DE-627 rakwb eng TK9001-9401 Jinlong Wang verfasserin aut Molecular dynamics study on melting point of tungsten nanostructures 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We used molecular dynamics to study the melting point of tungsten nano-fibers. It is found that the nanoscale effect and helium impurity can significantly reduce the melting point. We use linear model and neural network model to fit the effect of two compound effects on melting point. For fuzz with 1%–4% helium and a diameter of 10–200 nm, its melting point can be reduced by 7.7%–16.4% with linear model and 6.1%–17.0% with neural network model. The actually reduction of melting point may be more than 20% due to the existence of a large number of holes in fuzz and the rough surface of fuzz. The reduction of melting point of tungsten fuzz can accelerate the dynamic phenomenon of fuzz annealing at low temperature, leading to the disappearance of fuzz. Our research is helpful to understand that the temperature limit of fuzz formation is lower than 2000 K to some extent. Nano-structure Tungsten Melting point Molecular dynamics Nuclear engineering. Atomic power Jun Chai verfasserin aut Wenqiang Dang verfasserin aut Xin-Dong Pan verfasserin aut Xiao-Chun Li verfasserin aut Guang-Nan Luo verfasserin aut In Nuclear Materials and Energy Elsevier, 2016 33(2022), Seite 101260- (DE-627)817363181 (DE-600)2808888-8 23521791 nnns volume:33 year:2022 pages:101260- https://doi.org/10.1016/j.nme.2022.101260 kostenfrei https://doaj.org/article/2f03c5ff8e5f4c6ea545367335df1890 kostenfrei http://www.sciencedirect.com/science/article/pii/S2352179122001417 kostenfrei https://doaj.org/toc/2352-1791 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 33 2022 101260-
allfieldsGer	10.1016/j.nme.2022.101260 doi (DE-627)DOAJ00893715X (DE-599)DOAJ2f03c5ff8e5f4c6ea545367335df1890 DE-627 ger DE-627 rakwb eng TK9001-9401 Jinlong Wang verfasserin aut Molecular dynamics study on melting point of tungsten nanostructures 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We used molecular dynamics to study the melting point of tungsten nano-fibers. It is found that the nanoscale effect and helium impurity can significantly reduce the melting point. We use linear model and neural network model to fit the effect of two compound effects on melting point. For fuzz with 1%–4% helium and a diameter of 10–200 nm, its melting point can be reduced by 7.7%–16.4% with linear model and 6.1%–17.0% with neural network model. The actually reduction of melting point may be more than 20% due to the existence of a large number of holes in fuzz and the rough surface of fuzz. The reduction of melting point of tungsten fuzz can accelerate the dynamic phenomenon of fuzz annealing at low temperature, leading to the disappearance of fuzz. Our research is helpful to understand that the temperature limit of fuzz formation is lower than 2000 K to some extent. Nano-structure Tungsten Melting point Molecular dynamics Nuclear engineering. Atomic power Jun Chai verfasserin aut Wenqiang Dang verfasserin aut Xin-Dong Pan verfasserin aut Xiao-Chun Li verfasserin aut Guang-Nan Luo verfasserin aut In Nuclear Materials and Energy Elsevier, 2016 33(2022), Seite 101260- (DE-627)817363181 (DE-600)2808888-8 23521791 nnns volume:33 year:2022 pages:101260- https://doi.org/10.1016/j.nme.2022.101260 kostenfrei https://doaj.org/article/2f03c5ff8e5f4c6ea545367335df1890 kostenfrei http://www.sciencedirect.com/science/article/pii/S2352179122001417 kostenfrei https://doaj.org/toc/2352-1791 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 33 2022 101260-
allfieldsSound	10.1016/j.nme.2022.101260 doi (DE-627)DOAJ00893715X (DE-599)DOAJ2f03c5ff8e5f4c6ea545367335df1890 DE-627 ger DE-627 rakwb eng TK9001-9401 Jinlong Wang verfasserin aut Molecular dynamics study on melting point of tungsten nanostructures 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We used molecular dynamics to study the melting point of tungsten nano-fibers. It is found that the nanoscale effect and helium impurity can significantly reduce the melting point. We use linear model and neural network model to fit the effect of two compound effects on melting point. For fuzz with 1%–4% helium and a diameter of 10–200 nm, its melting point can be reduced by 7.7%–16.4% with linear model and 6.1%–17.0% with neural network model. The actually reduction of melting point may be more than 20% due to the existence of a large number of holes in fuzz and the rough surface of fuzz. The reduction of melting point of tungsten fuzz can accelerate the dynamic phenomenon of fuzz annealing at low temperature, leading to the disappearance of fuzz. Our research is helpful to understand that the temperature limit of fuzz formation is lower than 2000 K to some extent. Nano-structure Tungsten Melting point Molecular dynamics Nuclear engineering. Atomic power Jun Chai verfasserin aut Wenqiang Dang verfasserin aut Xin-Dong Pan verfasserin aut Xiao-Chun Li verfasserin aut Guang-Nan Luo verfasserin aut In Nuclear Materials and Energy Elsevier, 2016 33(2022), Seite 101260- (DE-627)817363181 (DE-600)2808888-8 23521791 nnns volume:33 year:2022 pages:101260- https://doi.org/10.1016/j.nme.2022.101260 kostenfrei https://doaj.org/article/2f03c5ff8e5f4c6ea545367335df1890 kostenfrei http://www.sciencedirect.com/science/article/pii/S2352179122001417 kostenfrei https://doaj.org/toc/2352-1791 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 33 2022 101260-
language	English
source	In Nuclear Materials and Energy 33(2022), Seite 101260- volume:33 year:2022 pages:101260-
sourceStr	In Nuclear Materials and Energy 33(2022), Seite 101260- volume:33 year:2022 pages:101260-
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Nano-structure Tungsten Melting point Molecular dynamics Nuclear engineering. Atomic power
isfreeaccess_bool	true
container_title	Nuclear Materials and Energy
authorswithroles_txt_mv	Jinlong Wang @@aut@@ Jun Chai @@aut@@ Wenqiang Dang @@aut@@ Xin-Dong Pan @@aut@@ Xiao-Chun Li @@aut@@ Guang-Nan Luo @@aut@@
publishDateDaySort_date	2022-01-01T00:00:00Z
hierarchy_top_id	817363181
id	DOAJ00893715X
language_de	englisch
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callnumber-first	T - Technology
author	Jinlong Wang
spellingShingle	Jinlong Wang misc TK9001-9401 misc Nano-structure misc Tungsten misc Melting point misc Molecular dynamics misc Nuclear engineering. Atomic power Molecular dynamics study on melting point of tungsten nanostructures
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topic_title	TK9001-9401 Molecular dynamics study on melting point of tungsten nanostructures Nano-structure Tungsten Melting point Molecular dynamics
topic	misc TK9001-9401 misc Nano-structure misc Tungsten misc Melting point misc Molecular dynamics misc Nuclear engineering. Atomic power
topic_unstemmed	misc TK9001-9401 misc Nano-structure misc Tungsten misc Melting point misc Molecular dynamics misc Nuclear engineering. Atomic power
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title	Molecular dynamics study on melting point of tungsten nanostructures
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title_full	Molecular dynamics study on melting point of tungsten nanostructures
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author_browse	Jinlong Wang Jun Chai Wenqiang Dang Xin-Dong Pan Xiao-Chun Li Guang-Nan Luo
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title_sort	molecular dynamics study on melting point of tungsten nanostructures
callnumber	TK9001-9401
title_auth	Molecular dynamics study on melting point of tungsten nanostructures
abstract	We used molecular dynamics to study the melting point of tungsten nano-fibers. It is found that the nanoscale effect and helium impurity can significantly reduce the melting point. We use linear model and neural network model to fit the effect of two compound effects on melting point. For fuzz with 1%–4% helium and a diameter of 10–200 nm, its melting point can be reduced by 7.7%–16.4% with linear model and 6.1%–17.0% with neural network model. The actually reduction of melting point may be more than 20% due to the existence of a large number of holes in fuzz and the rough surface of fuzz. The reduction of melting point of tungsten fuzz can accelerate the dynamic phenomenon of fuzz annealing at low temperature, leading to the disappearance of fuzz. Our research is helpful to understand that the temperature limit of fuzz formation is lower than 2000 K to some extent.
abstractGer	We used molecular dynamics to study the melting point of tungsten nano-fibers. It is found that the nanoscale effect and helium impurity can significantly reduce the melting point. We use linear model and neural network model to fit the effect of two compound effects on melting point. For fuzz with 1%–4% helium and a diameter of 10–200 nm, its melting point can be reduced by 7.7%–16.4% with linear model and 6.1%–17.0% with neural network model. The actually reduction of melting point may be more than 20% due to the existence of a large number of holes in fuzz and the rough surface of fuzz. The reduction of melting point of tungsten fuzz can accelerate the dynamic phenomenon of fuzz annealing at low temperature, leading to the disappearance of fuzz. Our research is helpful to understand that the temperature limit of fuzz formation is lower than 2000 K to some extent.
abstract_unstemmed	We used molecular dynamics to study the melting point of tungsten nano-fibers. It is found that the nanoscale effect and helium impurity can significantly reduce the melting point. We use linear model and neural network model to fit the effect of two compound effects on melting point. For fuzz with 1%–4% helium and a diameter of 10–200 nm, its melting point can be reduced by 7.7%–16.4% with linear model and 6.1%–17.0% with neural network model. The actually reduction of melting point may be more than 20% due to the existence of a large number of holes in fuzz and the rough surface of fuzz. The reduction of melting point of tungsten fuzz can accelerate the dynamic phenomenon of fuzz annealing at low temperature, leading to the disappearance of fuzz. Our research is helpful to understand that the temperature limit of fuzz formation is lower than 2000 K to some extent.
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title_short	Molecular dynamics study on melting point of tungsten nanostructures
url	https://doi.org/10.1016/j.nme.2022.101260 https://doaj.org/article/2f03c5ff8e5f4c6ea545367335df1890 http://www.sciencedirect.com/science/article/pii/S2352179122001417 https://doaj.org/toc/2352-1791
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up_date	2024-07-03T21:01:53.103Z
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Molecular dynamics study on melting point of tungsten nanostructures

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