Multiscale simulation of soft matter systems–from the atomistic to the coarse-grained level and back
Open accessAbstract
Many physical phenomena and properties of soft matter systems such as synthetic or biological materials are governed by interactions and processes on a wide range of length- and time-scales. Computer simulation approaches that are targeted at questions in these systems require models which cover these scales and the respective levels of resolution. Multiscale simulation methods combine and systematically link several simulation hierarchies so that they can address phenomena at multiple levels of resolution. In order to reach the mesoscopic time- and length-scales important for many material properties, methods that bridge from the atomistic (microscopic) to a coarser (mesocopic) level are developed. Here, we review coarse-grained simulation models that are linked to a higher resolution atomistic description. In particular, we focus on structure-based coarse-graining methods which are used for a variety of soft matter problems – ranging from structure-formation in amorphous polymers to biomolecular aggregation. It is shown that by coarse-grained simulation in combination with an efficient backmapping methodology one can obtain well-equilibrated long time- and large length-scale atomistic structures of polymeric melts or biomolecular aggregates which can be used for comparison to experimental data. Methodological aspects are addressed such as the question of the time-scales and dynamics in the different simulation hierarchies and an outlook to future challenges in the area of resolution exchange approaches and adaptive resolution models is presented.
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Well-equilibrated coarse-grained models can be mapped back onto an atomistic model.
“Conversely, the well-equilibrated coarse-grained models can be mapped back onto an atomistic model, as reviewed by Müller-Plathe [38] and Peter and Kremer [340].”
From Challenges in Multiscale Modeling of Polymer Dynamics (2013) · cites this paper as [340]
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GROMACS: Fast, flexible, and free
van der Spoel, D., Lindahl, E. R., Hess, B., Groenhof, G., Mark, A. E., & Berendsen, H. J. C. (2005) · Journal of Computational Chemistry · doi:10.1002/jcc.20291 · Cited by 19,187 · see citing works
The MARTINI Force Field: Coarse Grained Model for Biomolecular Simulations
Marrink, . J., Risselada, H. J., Yefimov, S., Tieleman, D. P., & de Vries, A. H. (2007) · The Journal of Physical Chemistry B · doi:10.1021/jp071097f · Cited by 5,527 · see citing works
Dynamics of entangled linear polymer melts: A molecular-dynamics simulation
Kremer, K., & Grest, G. S. (1990) · The Journal of Chemical Physics · doi:10.1063/1.458541 · Cited by 4,023 · see citing works
Self-citationThe MARTINI Coarse-Grained Force Field: Extension to Proteins
Monticelli, L., Kandasamy, S. K., Périole, X., Larson, R. G., Tieleman, D. P., & Marrink, . J. (2008) · Journal of Chemical Theory and Computation · doi:10.1021/ct700324x · Cited by 2,491 · see citing works
Coarse Grained Model for Semiquantitative Lipid Simulations
Marrink, S. J., de Vries, A. H., & Mark, A. E. (2004) · The Journal of Physical Chemistry B · doi:10.1021/jp036508g · Cited by 2,257 · see citing works
Deriving effective mesoscale potentials from atomistic simulations
Reith, D., Pütz, M., & Müller‐Plathe, F. (2003) · Journal of Computational Chemistry · doi:10.1002/jcc.10307 · Cited by 1,314 · see citing works
A Multiscale Coarse-Graining Method for Biomolecular Systems
Izvekov, S., & Voth, G. A. (2005) · The Journal of Physical Chemistry B · doi:10.1021/jp044629q · Cited by 1,192 · see citing works
Tube theory of entangled polymer dynamics
McLeish, T. C. B. (2002) · Advances in Physics · doi:10.1080/00018730210153216 · Cited by 905 · see citing works
Lyubartsev, A. P., & Laaksonen, A. (1995) · Physical Review E · doi:10.1103/physreve.52.3730 · Cited by 852 · see citing works
Rheology and microscopic topology of entangled polymeric liquids
Everaers, R., Sukumaran, S. K., Grest, G. S., Svaneborg, C., Sivasubramanian, A., & Kremer, K. (2004) · Science · doi:10.1126/science.1091215 · Cited by 832 · see citing works
Self-citationAggregation and vesiculation of membrane proteins by curvature-mediated interactions
Reynwar, B. J., Illya, G., Harmandaris, V., Mueller, M. M., Kremer, K., & Deserno, M. (2007) · Nature · doi:10.1038/nature05840 · Cited by 762 · see citing works
Self-citationESPResSo—an extensible simulation package for research on soft matter systems
Limbach, H. J., Arnold, A., Mann, B. A., & Holm, C. (2006) · Computer Physics Communications · doi:10.1016/j.cpc.2005.10.005 · Cited by 662 · see citing works
Multiscale Simulation of Soft Matter: From Scale Bridging to Adaptive Resolution
Praprotnik, M., Site, L. D., & Kremer, K. (2007) · Annual Review of Physical Chemistry · doi:10.1146/annurev.physchem.59.032607.093707 · Cited by 481 · see citing works
Self-citationA uniqueness theorem for fluid pair correlation functions
Henderson, R. L. (1974) · Physics Letters A · doi:10.1016/0375-9601(74)90847-0 · Cited by 443 · see citing works
Adaptive resolution molecular-dynamics simulation: Changing the degrees of freedom on the fly
Praprotnik, M., Site, L. D., & Kremer, K. (2005) · The Journal of Chemical Physics · doi:10.1063/1.2132286 · Cited by 429 · see citing works
Self-citationMultiscale modeling of biomolecular systems: in serial and in parallel
Ayton, G. S., Noid, W. G., & Voth, G. A. (2007) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2007.03.004 · Cited by 420 · see citing works
Hierarchical modeling of polystyrene: From atomistic to coarse-grained simulations
Harmandaris, V. A., Adhikari, N. P., van der Vegt, N. F. A., & Kremer, K. (2006) · Macromolecules · doi:10.1021/ma0606399 · Cited by 350 · see citing works
Self-citationBiological and synthetic membranes: What can be learned from a coarse-grained description?
Müller, M., KATSOV, K., & Michael Schick, C. (2006) · Physics Reports · doi:10.1016/j.physrep.2006.08.003 · Cited by 320 · see citing works
Comparative atomistic and coarse-grained study of water: What do we lose by coarse-graining?
Wang, H., Junghans, C., & Kremer, K. (2009) · The European Physical Journal E · doi:10.1140/epje/i2008-10413-5 · Cited by 269 · see citing works
Self-citationRepresentability problems for coarse-grained water potentials
Johnson, M. E., Head-Gordon, T. L., & Louis, A. A. (2007) · The Journal of Chemical Physics · doi:10.1063/1.2715953 · Cited by 259 · see citing works
Multiscale Coarse-Graining and Structural Correlations: Connections to Liquid-State Theory
Noid, W. G., Chu, J., Ayton, G. S., & Voth, G. A. (2007) · The Journal of Physical Chemistry B · doi:10.1021/jp068549t · Cited by 222 · see citing works
Dynamics of polystyrene melts through hierarchical multiscale simulations
Harmandaris, V. A., & Kremer, K. (2009) · Macromolecules · doi:10.1021/ma8018624 · Cited by 215 · see citing works
Self-citationResolution Exchange Simulation
Lyman, E. R., Ytreberg, F. M., & Zuckerman, D. M. (2006) · Physical Review Letters · doi:10.1103/physrevlett.96.028105 · Cited by 210 · see citing works
Comparison between coarse-graining models for polymer systems: Two mapping schemes for polystyrene
Harmandaris, V. A., Reith, D., van der Vegt, N. F. A., & Kremer, K. (2007) · Macromolecular Chemistry and Physics · doi:10.1002/macp.200700245 · Cited by 179 · see citing works
Self-citationLong time atomistic polymer trajectories from coarse grained simulations: Bisphenol-A polycarbonate
Hess, B., León, S., van der Vegt, N., & Kremer, K. (2006) · Soft Matter · doi:10.1039/b602076c · Cited by 128 · see citing works
Self-citationPraprotnik, M., Site, L. D., & Kremer, K. (2006) · Physical Review E · doi:10.1103/physreve.73.066701 · Cited by 126 · see citing works
Self-citationConcurrent triple-scale simulation of molecular liquids
Delgado‐Buscalioni, R., Kremer, K., & Praprotnik, M. (2008) · The Journal of Chemical Physics · doi:10.1063/1.2890729 · Cited by 117 · see citing works
Self-citationAbrams, C. F., & Kremer, K. (2002) · Macromolecules · doi:10.1021/ma0213495 · Cited by 114 · see citing works
Self-citationComparison of Thermodynamic Properties of Coarse‐Grained and Atomic‐Level Simulation Models
Baron, R., Trzesniak, D., de Vries, A. H., Elsener, A., Marrink, . J., & A, W. F. V. G. (2007) · ChemPhysChem · doi:10.1002/cphc.200600658 · Cited by 114 · see citing works
Doruker, P., & Mattice, W. L. (1997) · Macromolecules · doi:10.1021/ma970297u · Cited by 108 · see citing works
Christen, M., & van Gunsteren, W. F. (2006) · The Journal of Chemical Physics · doi:10.1063/1.2187488 · Cited by 105 · see citing works
From mesoscale back to atomistic models: A fast reverse-mapping procedure for vinyl polymer chains
Santangelo, G., Di Matteo, A., Müller-Plathe, F., & Milano, G. (2007) · The Journal of Physical Chemistry B · doi:10.1021/jp066212l · Cited by 104 · see citing works
Bisphenol A Polycarbonate: Entanglement Analysis from Coarse-Grained MD Simulations
León, S., van der Vegt, N. F. A., Site, L. D., & Kremer, K. (2005) · Macromolecules · doi:10.1021/ma050943m · Cited by 103 · see citing works
Self-citationPeter, C., Site, L. D., & Kremer, K. (2008) · Soft Matter · doi:10.1039/b717324e · Cited by 94 · see citing works
Self-citationModeling polyethylene with the bond fluctuation model
Tries, V., Paul, W., Baschnagel, J., & Binder, K. (1997) · The Journal of Chemical Physics · doi:10.1063/1.473162 · Cited by 93 · see citing works
Peptide Folding Using Multiscale Coarse-Grained Models
Thorpe, I. F., Zhou, J. W., & Voth, G. A. (2008) · The Journal of Physical Chemistry B · doi:10.1021/jp8015968 · Cited by 90 · see citing works
Predicting polymer dynamics at multiple length and time scales
Harmandaris, V. A., & Kremer, K. (2009) · Soft Matter · doi:10.1039/b905361a · Cited by 90 · see citing works
Self-citationMilano, G., Goudeau, S., & Müller‐Plathe, F. (2005) · Journal of Polymer Science Part B: Polymer Physics · doi:10.1002/polb.20380 · Cited by 90 · see citing works
Structure-property correlation of polymers, a Monte Carlo approach
Paul, W., Binder, K., Kremer, K., & Heermann, D. W. (1991) · Macromolecules · doi:10.1021/ma00023a041 · Cited by 88 · see citing works
Self-citationSelf-assembling dipeptides: conformational sampling in solvent-free coarse-grained simulation
Villa, A., Peter, C., & van der Vegt, N. F. A. (2009) · Physical Chemistry Chemical Physics · doi:10.1039/b818144f · Cited by 85 · see citing works
Self-citationHãhn, O., Mooney, D. A., Müller‐Plathe, F., & Kremer, K. (1999) · The Journal of Chemical Physics · doi:10.1063/1.479904 · Cited by 72 · see citing works
Self-citationGhiringhelli, L. M., Hess, B., van der Vegt, N. F. A., et al. (2008) · Journal of the American Chemical Society · doi:10.1021/ja804350v · Cited by 68 · see citing works
Mapping of Explicit Atom onto United Atom Potentials
McCoy, J. D., & Curro, J. G. (1998) · Macromolecules · doi:10.1021/ma981060g · Cited by 68 · see citing works
Harmandaris, V., Adhikari, N. P., van der Vegt, N. F. A., Kremer, K., Mann, B. A., Voelkel, R., Weiss, H., & Liew, C. (2007) · Macromolecules · doi:10.1021/ma070201o · Cited by 68 · see citing works
Self-citationSelf-assembling dipeptides: including solvent degrees of freedom in a coarse-grained model
Villa, A., van der Vegt, N. F. A., & Peter, C. (2009) · Physical Chemistry Chemical Physics · doi:10.1039/b818146m · Cited by 61 · see citing works
Self-citationSite, L. D., León, S., & Kremer, K. (2004) · Journal of the American Chemical Society · doi:10.1021/ja0387406 · Cited by 57 · see citing works
Self-citationDo Inverse Monte Carlo Algorithms Yield Thermodynamically Consistent Interaction Potentials?
Jain, S. K., Garde, S., & Kumar, S. K. (2006) · Industrial & Engineering Chemistry Research · doi:10.1021/ie060042h · Cited by 55 · see citing works
Hierarchical modeling of polymer permeation
Fritz, D., Herbers, C. R., Kremer, K., & van der Vegt, N. F. A. (2009) · Soft Matter · doi:10.1039/b911713j · Cited by 53 · see citing works
Self-citationInteraction of Hydrated Amino Acids with Metal Surfaces: A Multiscale Modeling Description
Schravendijk, P., Ghiringhelli, L. M., Site, L. D., et al. (2007) · The Journal of Physical Chemistry C · doi:10.1021/jp065568u · Cited by 50 · see citing works
Hess, B., Peter, C., Ildeniz, T. A. O., et al. (2008) · Macromolecules · doi:10.1021/ma702070n · Cited by 35 · see citing works
Self-citationBackmapping coarse-grained polymer models under sheared nonequilibrium conditions
Chen, X., Carbone, P., Santangelo, G., Di Matteo, A., Milano, G., & Müller-Plathe, F. (2009) · Physical Chemistry Chemical Physics · doi:10.1039/b817895j · Cited by 34 · see citing works
Feller, P., Herr, H., Hilger, E., et al. (1974) · Physics Letters B · doi:10.1016/0370-2693(74)90508-5 · Cited by 29 · see citing works
Ildeniz, T. A. O., Peter, C., Hess, B., et al. (2008) · Macromolecules · doi:10.1021/ma702329q · Cited by 22 · see citing works
Self-citationAdhesion of Polycarbonate Blends on a Nickel Surface
Andrienko, D., León, S., Site, L. D., et al. (2005) · Macromolecules · doi:10.1021/ma0506029 · Cited by 22 · see citing works
Hess, B., & van der Vegt, N. F. A. (2008) · Macromolecules · doi:10.1021/ma8015486 · Cited by 16 · see citing works
Tschöp (1998) · doi:10.1002/(sici)1521-4044(199802)49:2/3
Flagged first, then by citations
Research works printed but not linked: 63
- [1]1. H. J. C. Berendsen, Simulating the Physical World, Cambridge University Press, Cambridge, UK, 2007.
- [2]2. Coarse-Graining of Condensed Phase and Biomolecular Systems, ed. G. A. Voth, Chapman and Hall/CRC Press, Taylor and Francis Group, 2008.
- [3]3. B. Dunweg and A. J. C. Ladd, Advanced Computer Simulation Approaches for Soft Matter Sciences III (Advances in Polymer Science, vol. 221), 2009, pp. 89-166.
- [4]4. W. Tsch€ op, K. Kremer, J. Batoulis, T. Burger and O. Hahn, Acta Polym., 1998, 49, 61-74.
- [5]5. W. Tsch€ op, K. Kremer, O. Hahn, J. Batoulis and T. Burger, Acta Polym., 1998, 49, 75-79.
- [6]6. G. S. Ayton, W. G. Noid and G. A. Voth, Curr. Opin. Struct. Biol., 2007, 17, 192-198.
- [7]7. P. L. Freddolino, A. Arkhipov, A. Y. Shih, Y. Yin, Z. Chen and K. Schulten, Coarse-Graining of Condensed Phase and Biomolecular Systems, Chapman and Hall/CRC Press, Taylor and Francis Group, 2008.
- [8]8. S. J. Marrink, M. Fuhrmans, H. J. Risselada and X. Periole, Coarse- Graining of Condensed Phase and Biomolecular Systems, Chapman and Hall/CRC Press, Taylor and Francis Group, 2008.
- [9]9. N. F. A. van der Vegt, C. Peter and K. Kremer, Coarse-Graining of Condensed Phase and Biomolecular Systems, Chapman and Hall/ CRC Press, Taylor and Francis Group, 2008.
- [10]10. K. Kremer and G. S. Grest, J. Chem. Phys., 1990, 92, 5057-5086.
- [11]11. M. Muller, K. Katsov and M. Schick, Phys. Rep., 2006, 434, 113-176.
- [12]12. B. J. Reynwar, G. Illya, V. A. Harmandaris, M. M. M€ uller, K. Kremer and M. Deserno, Nature, 2007, 447, 461-464.
- [13]13. T. C. B. McLeish, Adv. Phys., 2002, 51, 1379.
- [14]14. R. Everaers, S. K. Sukumaran, G. S. Grest, C. Svaneborg, A. Sivasubramanian and K. Kremer, Science, 2004, 303, 823-826.
- [15]15. K. Kremer, Simulations in Condensed Matter: From Materials to Chemical Biology, Springer, 2006, vol. 704.
- [16]16. S. J. Marrink, H. J. Risselada, S. Yefimov, D. P. Tieleman and A. H. de Vries, J. Phys. Chem. B, 2007, 111, 7812-7824.
- [17]17. L. Monticelli, S. K. Kandasamy, X. Periole, R. G. Larson, D. P. Tieleman and S. J. Marrink, J. Chem. Theory Comput., 2008, 4, 819-834.
- [18]18. S. J. Marrink, A. H. de Vries and A. E. Mark, J. Phys. Chem. B, 2004, 108, 750-760.
- [19]19. R. Baron, D. Trzesniak, A. H. de Vries, A. Elsener, S. J. Marrink and W. F. van Gunsteren, ChemPhysChem, 2007, 8, 452-461.
- [20]20. A. P. Lyubartsev and A. Laaksonen, Phys. Rev. E, 1995, 52, 3730- 3737.
- [21]21. F. M€ uller-Plathe, ChemPhysChem, 2002, 3, 754-769.
- [22]22. C. Peter, L. Delle Site and K. Kremer, Soft Matter, 2008, 4, 859-869.
- [23]23. M. E. Johnson, T. Head-Gordon and A. A. Louis, J. Chem. Phys., 2007, 126, 144509.
- [24]24. S. Izvekov and G. A. Voth, J. Phys. Chem. B, 2005, 109, 2469-2473.
- [25]25. W. Noid, J. Chu, G. Ayton and G. Voth, J. Phys. Chem. B, 2007, 111, 4116-4127.
- [27]27. C. F. Abrams and K. Kremer, Macromolecules, 2003, 36, 260-267.
- [28]28. V. A. Harmandaris, N. P. Adhikari, N. F. A. van der Vegt and K. Kremer, Macromolecules, 2006, 39, 6708-6719.
- [29]29. V. A. Harmandaris, D. Reith, N. F. A. van der Vegt and K. Kremer, Macromol. Chem. Phys., 2007, 208, 2109-2120.
- [30]30. V. A. Harmandaris and K. Kremer, Macromolecules, 2009, 42, 791-802.
- [31]31. D. Fritz, V. A. Harmandaris, K. Kremer and N. F. A. van der Vegt, Macromolecules, submitted. 32 A. Villa, C. Peter and N. F. A. van der Vegt, Phys. Chem. Chem. Phys., 2009, 11, 2077.
- [32]32. A. Villa, N. F. A. van der Vegt and C. Peter, Phys. Chem. Chem. Phys., 2009, 11, 2068.
- [33]33. P. Schravendijk, L. M. Ghiringhelli, L. Delle Site and N. F. A. van der Vegt, J. Phys. Chem. C, 2007, 111, 2631-2642.
- [34]34. L. M. Ghiringhelli, B. Hess, N. F. A. Van der Vegt and L. Delle Site, J. Am. Chem. Soc., 2008, 130, 13460-13464.
- [35]35. L. Delle Site, S. Leon and K. Kremer, J. Am. Chem. Soc., 2004, 126, 2944-2955.
- [36]36. D. Andrienko, S. Leon, L. Delle Site and K. Kremer, Macromolecules, 2005, 38, 5810-5816.
- [37]37. G. Milano, S. Goudeau and F. Muller-Plathe, J. Polym. Sci., Part B: Polym. Phys., 2005, 43, 871-885.
- [38]38. W. Paul, K. Binder, K. Kremer and D. W. Heermann, Macromolecules, 1991, 24, 6332-6334.
- [39]39. P. Doruker and W. L. Mattice, Macromolecules, 1997, 30, 5520-5526.
- [40]40. V. Tries, W. Paul, J. Baschnagel and K. Binder, J. Chem. Phys., 1997, 106, 738-748.
- [41]41. D. Reith, M. Putz and F. Muller-Plathe, J. Comput. Chem., 2003, 24, 1624-1636.
- [42]42. R. L. Henderson, Phys. Lett., 1974, 49, 197-198.
- [43]43. M. Praprotnik, L. Delle Site and K. Kremer, Phys. Rev. E, 2006, 73, 066701.
- [44]44. S. Jain, S. Garde and S. K. Kumar, Ind. Eng. Chem. Res., 2006, 45, 5614-5618.
- [45]45. H. Wang, C. Junghans and K. Kremer, Eur. Phys. J. E, 2009, 28, 221- 229.
- [46]46. J. D. McCoy and J. G. Curro, Macromolecules, 1998, 31, 9362-9368.
- [47]47. B. Hess, S. Leon, N. van der Vegt and K. Kremer, Soft Matter, 2006, 2, 409-414.
- [48]48. G. Santangelo, A. Di Matteo, F. Muller-Plathe and G. Milano, J. Phys. Chem. B, 2007, 111, 2765-2773.
- [49]49. F. Thorpe, J. Zhou and G. A. Voth, J. Phys. Chem. B, 2008, 112, 13079-13090.
- [50]50. X. Chen, P. Carbone, G. Santangelo, A. Di Matteo, G. Milano and F. Muller-Plathe, Phys. Chem. Chem. Phys., 2009, 11, 1977-88.
- [52]52. B. Hess, C. Peter, T. Ozal and N. F. A. van der Vegt, Macromolecules, 2008, 41, 2283-2289.
- [53]53. T. Ozal, C. Peter, B. Hess and N. F. A. van der Vegt, Macromolecules, 2008, 41, 5055-5061.
- [54]54. B. Hess and N. F. A. Van der Vegt, Macromolecules, 2008, 41, 7281- 7283.
- [55]55. O. Hahn, D. A. Mooney, F. Muller-Plathe and K. Kremer, J. Chem. Phys., 1999, 111, 6061-6068.
- [56]56. S. Leon, N. F. A. van der Vegt, L. Delle Site and K. Kremer, Macromolecules, 2005, 38, 8078-8092.
- [58]58. V. A. Harmandaris, N. P. Adhikari, N. F. A. van der Vegt, K. Kremer, B. A. Mann, R. Voelkel, H. Weiss and C. C. Liew, Macromolecules, 2007, 40, 7026-7035.
- [60]60. E. Lyman, F. M. Ytreberg and D. M. Zuckerman, Phys. Rev. Lett., 2006, 96, 028105.
- [61]61. D. M. Zuckerman, Coarse-Graining of Condensed Phase and Biomolecular Systems, Chapman and Hall/CRC Press, Taylor and Francis Group, 2008.
- [62]62. M. Christen and W. F. van Gunsteren, J. Chem. Phys., 2006, 124, 154106.
- [63]63. M. Praprotnik, L. Delle Site and K. Kremer, J. Chem. Phys., 2005, 123, 224106.
- [64]64. M. Praprotnik, L. Delle Site and K. Kremer, Annu. Rev. Phys. Chem., 2008, 59, 545-571.
- [65]65. R. Delgado-Buscalioni, K. Kremer and M. Praprotnik, J. Chem. Phys., 2008, 128, 114110.
- [66]66. H. J. Limbach, A. Arnold, B. A. Mann and C. Holm, Comput. Phys. Commun., 2006, 174, 704-727.
- [67]67. D. Van der Spoel, E. Lindahl, B. Hess, G. Groenhof, A. E. Mark and H. J. C. Berendsen, J. Comput. Chem., 2005, 26, 1701-1718.
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- Authors
- Peter, C., & Kremer, K.
- Affiliations
- Max Planck Institute for Polymer Research (DE)
- Corresponding author
- Kremer, Kurt
- Venue
- Soft Matter
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2009
- Volume
- 5
- Issue
- 22
- Pages
- 4357
- ISSN
- 1744-683X (ISSN-L)
- 1744-6848
- OpenAlex
- W2048754774
- Cited by
- 465
- References
- 57
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- FWCI
- 13.00
- Type
- journal article
- Language
- en
- Open access
- green
- nbn-resolving.de
- Locations
- Soft Matter (publishedVersion)
- KOPS (University of Konstanz) (submittedVersion)
- Max Planck Institute for Plasma Physics (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Funders
- Bayer
- University of Minnesota
- Universität zu Köln
- Max-Planck-Institut für Polymerforschung
- National Institutes of Health
- University of California, Santa Barbara
- Topics
- Physical Sciences › Chemistry › Physical and Theoretical Chemistry › Advanced Physical and Chemical Molecular Interactions
- Physical Sciences › Materials Science › Materials Chemistry › Material Dynamics and Properties
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Advanced Mathematical Modeling in Engineering
- Keywords
- multiscale modeling, coarse-grained models, polymer melts, amorphous polymers, structure formation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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