Shear modulus of simulated glass-forming model systems: effects of boundary condition, temperature, and sampling time
The shear modulus G of two glass-forming colloidal model systems in d = 3 and d = 2 dimensions is investigated by means of, respectively, molecular dynamics and Monte Carlo simulations. Comparing ensembles where either the shear strain γ or the conjugated (mean) shear stress τ are imposed, we comput...
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Veröffentlicht in: | The Journal of chemical physics 2013-03, Vol.138 (12), p.12A533-12A533 |
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description | The shear modulus G of two glass-forming colloidal model systems in d = 3 and d = 2 dimensions is investigated by means of, respectively, molecular dynamics and Monte Carlo simulations. Comparing ensembles where either the shear strain γ or the conjugated (mean) shear stress τ are imposed, we compute G from the respective stress and strain fluctuations as a function of temperature T while keeping a constant normal pressure P. The choice of the ensemble is seen to be highly relevant for the shear stress fluctuations μ(F)(T) which at constant τ decay monotonously with T following the affine shear elasticity μ(A)(T), i.e., a simple two-point correlation function. At variance, non-monotonous behavior with a maximum at the glass transition temperature T(g) is demonstrated for μF(T) at constant γ. The increase of G below T(g) is reasonably fitted for both models by a continuous cusp singularity, G(T) ∝ (1 - T∕T(g))(1∕2), in qualitative agreement with recent theoretical predictions. It is argued, however, that longer sampling times may lead to a sharper transition. |
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Comparing ensembles where either the shear strain γ or the conjugated (mean) shear stress τ are imposed, we compute G from the respective stress and strain fluctuations as a function of temperature T while keeping a constant normal pressure P. The choice of the ensemble is seen to be highly relevant for the shear stress fluctuations μ(F)(T) which at constant τ decay monotonously with T following the affine shear elasticity μ(A)(T), i.e., a simple two-point correlation function. At variance, non-monotonous behavior with a maximum at the glass transition temperature T(g) is demonstrated for μF(T) at constant γ. The increase of G below T(g) is reasonably fitted for both models by a continuous cusp singularity, G(T) ∝ (1 - T∕T(g))(1∕2), in qualitative agreement with recent theoretical predictions. 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Comparing ensembles where either the shear strain γ or the conjugated (mean) shear stress τ are imposed, we compute G from the respective stress and strain fluctuations as a function of temperature T while keeping a constant normal pressure P. The choice of the ensemble is seen to be highly relevant for the shear stress fluctuations μ(F)(T) which at constant τ decay monotonously with T following the affine shear elasticity μ(A)(T), i.e., a simple two-point correlation function. At variance, non-monotonous behavior with a maximum at the glass transition temperature T(g) is demonstrated for μF(T) at constant γ. The increase of G below T(g) is reasonably fitted for both models by a continuous cusp singularity, G(T) ∝ (1 - T∕T(g))(1∕2), in qualitative agreement with recent theoretical predictions. It is argued, however, that longer sampling times may lead to a sharper transition.</description><subject>Computer simulation</subject><subject>Condensed Matter</subject><subject>Dynamical systems</subject><subject>Dynamics</subject><subject>Fluctuation</subject><subject>Materials Science</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Physics</subject><subject>Sampling</subject><subject>Shear modulus</subject><issn>0021-9606</issn><issn>1089-7690</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNqFkUtv1TAQhS0EorePBX8AeQlS03r8iBN2VUUp0pVYFNaWY0_aIDu-2HGl_nty6aUsWY00882ZMzqEvAN2AawVl3Ahdc9A6FdkA6zrG9327DXZMMah6VvWHpHjUn4yxkBz-ZYccaFUqzu5IfXuAW2mMfkaaqFppGWKNdgFPb0PtpRmTDlO8_0ewUDLU1kwlk8UxxHd8mdjSHX2Nj9Rl2Y_LVOaz-kK7TDbpWY8p3b2tNi4C3udZYp4St6MNhQ8O9QT8uPm8_fr22b77cvX66tt40Snl0aD1gq49HKUXjjmEPg4eEAn16fQuoH3HXTcOzH268jaQaETg-w9MNYN4oR8fNZ9sMHs8hRXlybZydxebc2-x0CBZm37CCv74Znd5fSrYllMnIrDEOyMqRYDcj2mlOi7_6NCca47UO0_By6nUjKOLzaAmX14BswhvJV9f5CtQ0T_Qv5NS_wGR5iUVA</recordid><startdate>20130328</startdate><enddate>20130328</enddate><creator>Wittmer, J P</creator><creator>Xu, H</creator><creator>Polińska, P</creator><creator>Weysser, F</creator><creator>Baschnagel, J</creator><general>American Institute of Physics</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7U5</scope><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0002-3201-2554</orcidid><orcidid>https://orcid.org/0000-0003-2678-3464</orcidid></search><sort><creationdate>20130328</creationdate><title>Shear modulus of simulated glass-forming model systems: effects of boundary condition, temperature, and sampling time</title><author>Wittmer, J P ; Xu, H ; Polińska, P ; Weysser, F ; Baschnagel, J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c387t-71775124d4f4d3c0ce12fbd1ec4606eacb298182dc3f912faab5ec3b49d1008b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Computer simulation</topic><topic>Condensed Matter</topic><topic>Dynamical systems</topic><topic>Dynamics</topic><topic>Fluctuation</topic><topic>Materials Science</topic><topic>Mathematical analysis</topic><topic>Mathematical models</topic><topic>Physics</topic><topic>Sampling</topic><topic>Shear modulus</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wittmer, J P</creatorcontrib><creatorcontrib>Xu, H</creatorcontrib><creatorcontrib>Polińska, P</creatorcontrib><creatorcontrib>Weysser, F</creatorcontrib><creatorcontrib>Baschnagel, J</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>The Journal of chemical physics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wittmer, J P</au><au>Xu, H</au><au>Polińska, P</au><au>Weysser, F</au><au>Baschnagel, J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Shear modulus of simulated glass-forming model systems: effects of boundary condition, temperature, and sampling time</atitle><jtitle>The Journal of chemical physics</jtitle><addtitle>J Chem Phys</addtitle><date>2013-03-28</date><risdate>2013</risdate><volume>138</volume><issue>12</issue><spage>12A533</spage><epage>12A533</epage><pages>12A533-12A533</pages><issn>0021-9606</issn><eissn>1089-7690</eissn><abstract>The shear modulus G of two glass-forming colloidal model systems in d = 3 and d = 2 dimensions is investigated by means of, respectively, molecular dynamics and Monte Carlo simulations. Comparing ensembles where either the shear strain γ or the conjugated (mean) shear stress τ are imposed, we compute G from the respective stress and strain fluctuations as a function of temperature T while keeping a constant normal pressure P. The choice of the ensemble is seen to be highly relevant for the shear stress fluctuations μ(F)(T) which at constant τ decay monotonously with T following the affine shear elasticity μ(A)(T), i.e., a simple two-point correlation function. At variance, non-monotonous behavior with a maximum at the glass transition temperature T(g) is demonstrated for μF(T) at constant γ. The increase of G below T(g) is reasonably fitted for both models by a continuous cusp singularity, G(T) ∝ (1 - T∕T(g))(1∕2), in qualitative agreement with recent theoretical predictions. It is argued, however, that longer sampling times may lead to a sharper transition.</abstract><cop>United States</cop><pub>American Institute of Physics</pub><pmid>23556784</pmid><doi>10.1063/1.4790137</doi><orcidid>https://orcid.org/0000-0002-3201-2554</orcidid><orcidid>https://orcid.org/0000-0003-2678-3464</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Computer simulation Condensed Matter Dynamical systems Dynamics Fluctuation Materials Science Mathematical analysis Mathematical models Physics Sampling Shear modulus |
title | Shear modulus of simulated glass-forming model systems: effects of boundary condition, temperature, and sampling time |
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