Skip to main content
Top
Published in:
Cover of the book

2015 | OriginalPaper | Chapter

1. Introduction

Authors : Alexander Heinecke, Wolfgang Eckhardt, Martin Horsch, Hans-Joachim Bungartz

Published in: Supercomputing for Molecular Dynamics Simulations

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

This chapter outlines the work “Supercomputing for Molecular Dynamics Simulations: Handling Multi-Trillion Particles in Nanofluidics” and defines the overall scope of this book. Several flavors of molecular dynamics (MD) simulation are introduced, and we point out the different requirements on MD depending on the field in which MD is applied. Since we focus on the application of MD in the relatively new domain of process engineering, we discuss which ideas from molecular biology and its mature simulation codes can be re-used and which need to be re-thought. This is necessary since both molecular models as well as particle numbers used in computational molecular engineering noticeably vary from molecular biology. Furthermore, we outline the methodology and structure if this book.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Footnotes
1
This section is based on M. Horsch, C. Niethammer, J. Vrabec, H. Hasse: Computational molecular engineering as an emerging technology in process engineering, Information Technology 55 (2013) 97–101. It represents joint work of the mentioned authors.
 
Literature
1.
go back to reference B.J. Alder, T.E. Wainwright, Studies in molecular dynamics. I. General method. J. Chem. Phys. 31(2), 459–466 (1959)CrossRefMathSciNet B.J. Alder, T.E. Wainwright, Studies in molecular dynamics. I. General method. J. Chem. Phys. 31(2), 459–466 (1959)CrossRefMathSciNet
2.
go back to reference A. Rahman, Correlations in the motion of atoms in liquid argon. Phys. Rev. 136A(2A), 405–411 (1964)CrossRef A. Rahman, Correlations in the motion of atoms in liquid argon. Phys. Rev. 136A(2A), 405–411 (1964)CrossRef
3.
go back to reference D.E. Shaw, R.O. Dror, J.K. Salmon, J. Grossman, K.M. Mackenzie, J.A. Bank, C. Young, M.M. Deneroff, B. Batson, K.J. Bowers et al., Millisecond-scale molecular dynamics simulations on Anton, in Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis, pp. 1–11. (IEEE, 2009) D.E. Shaw, R.O. Dror, J.K. Salmon, J. Grossman, K.M. Mackenzie, J.A. Bank, C. Young, M.M. Deneroff, B. Batson, K.J. Bowers et al., Millisecond-scale molecular dynamics simulations on Anton, in Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis, pp. 1–11. (IEEE, 2009)
4.
go back to reference D.B. Kitchen, H. Decornez, J.R. Furr, J. Bajorath, Docking and scoring in virtual screening for drug discovery: methods and applications. Nat. Rev. Drug Discov. 3(11), 935–949 (2004)CrossRef D.B. Kitchen, H. Decornez, J.R. Furr, J. Bajorath, Docking and scoring in virtual screening for drug discovery: methods and applications. Nat. Rev. Drug Discov. 3(11), 935–949 (2004)CrossRef
5.
go back to reference M.T. Nelson, W. Humphrey, A. Gursoy, A. Dalke, L.V. Kalé, R.D. Skeel, K. Schulten, NAMD: a parallel, object-oriented molecular dynamics program. Int. J. High Perform. Comput. Appl. 10(4), 251–268 (1996)CrossRef M.T. Nelson, W. Humphrey, A. Gursoy, A. Dalke, L.V. Kalé, R.D. Skeel, K. Schulten, NAMD: a parallel, object-oriented molecular dynamics program. Int. J. High Perform. Comput. Appl. 10(4), 251–268 (1996)CrossRef
6.
go back to reference D. van der Spoel, E. Lindahl, B. Hess, G. Groenhof, A.E. Mark, H.J.C. Berendsen, GROMACS: fast, flexible, and free. J. Comput. Chem. 26(16), 1701–1718 (2005)CrossRef D. van der Spoel, E. Lindahl, B. Hess, G. Groenhof, A.E. Mark, H.J.C. Berendsen, GROMACS: fast, flexible, and free. J. Comput. Chem. 26(16), 1701–1718 (2005)CrossRef
7.
go back to reference B.R. Brooks, C.L. Brooks, A.D. Mackerell, L. Nilsson, R.J. Petrella, B. Roux, Y. Won, G. Archontis, C. Bartels, S. Boresch et al., CHARMM: the biomolecular simulation program. J. Comput. Chem. 30(10), 1545–1614 (2009)CrossRef B.R. Brooks, C.L. Brooks, A.D. Mackerell, L. Nilsson, R.J. Petrella, B. Roux, Y. Won, G. Archontis, C. Bartels, S. Boresch et al., CHARMM: the biomolecular simulation program. J. Comput. Chem. 30(10), 1545–1614 (2009)CrossRef
8.
go back to reference N. Schmid, A.P. Eichenberger, A. Choutko, S. Riniker, M. Winger, A. Mark, W. Gunsteren, Definition and testing of the GROMOS force-field versions 54A7 and 54B7. Eur. Biophys. J. 40(7), 843–856 (2011)CrossRef N. Schmid, A.P. Eichenberger, A. Choutko, S. Riniker, M. Winger, A. Mark, W. Gunsteren, Definition and testing of the GROMOS force-field versions 54A7 and 54B7. Eur. Biophys. J. 40(7), 843–856 (2011)CrossRef
9.
go back to reference W.L. Jorgensen, J. Tirado-Rives, The OPLS [optimized potentials for liquid simulations] potential functions for proteins, energy minimizations for crystals of cyclic peptides and crambin. J. Am. Chem. Soc. 110(6), 1657–1666 (1988)CrossRef W.L. Jorgensen, J. Tirado-Rives, The OPLS [optimized potentials for liquid simulations] potential functions for proteins, energy minimizations for crystals of cyclic peptides and crambin. J. Am. Chem. Soc. 110(6), 1657–1666 (1988)CrossRef
10.
go back to reference D.A. Case, T.E. Cheatham, T. Darden, H. Gohlke, R. Luo, K.M. Merz, A. Onufriev, C. Simmerling, B. Wang, R.J. Woods, The Amber biomolecular simulation programs. J. Comput. Chem. 26(16), 1668–1688 (2005)CrossRef D.A. Case, T.E. Cheatham, T. Darden, H. Gohlke, R. Luo, K.M. Merz, A. Onufriev, C. Simmerling, B. Wang, R.J. Woods, The Amber biomolecular simulation programs. J. Comput. Chem. 26(16), 1668–1688 (2005)CrossRef
11.
go back to reference R. Susukita, T. Ebisuzaki, B.G. Elmegreen, H. Furusawa, K. Kato, A. Kawai, Y. Kobayashi, T. Koishi, G.D. McNiven, T. Narumi, K. Yasuoka, Hardware accelerator for molecular dynamics: MDGRAPE-2. Comput. Phys. Commun. 155(2), 115–131 (2003)CrossRef R. Susukita, T. Ebisuzaki, B.G. Elmegreen, H. Furusawa, K. Kato, A. Kawai, Y. Kobayashi, T. Koishi, G.D. McNiven, T. Narumi, K. Yasuoka, Hardware accelerator for molecular dynamics: MDGRAPE-2. Comput. Phys. Commun. 155(2), 115–131 (2003)CrossRef
12.
go back to reference D. E. Shaw, M. M. Deneroff, R. O. Dror, J. S. Kuskin, R. H. Larson, J. K. Salmon, C. Young, B. Batson, K. J. Bowers, J. C. Chao, M. P. Eastwood, J. Gagliardo, J. P. Grossman, C. R. Ho, D. J. Ierardi, I. Kolossváry, J. L. Klepeis, T. Layman, C. McLeavey, M. A. Moraes, R. Mueller, E. C. Priest, Y. Shan, J. Spengler, M. Theobald, B. Towles, S. C. Wang, Anton, a special-purpose machine for molecular dynamics simulation, in ACM SIGARCH Computer Architecture News, vol. 35, pp. 1–12. (ACM, 2007) D. E. Shaw, M. M. Deneroff, R. O. Dror, J. S. Kuskin, R. H. Larson, J. K. Salmon, C. Young, B. Batson, K. J. Bowers, J. C. Chao, M. P. Eastwood, J. Gagliardo, J. P. Grossman, C. R. Ho, D. J. Ierardi, I. Kolossváry, J. L. Klepeis, T. Layman, C. McLeavey, M. A. Moraes, R. Mueller, E. C. Priest, Y. Shan, J. Spengler, M. Theobald, B. Towles, S. C. Wang, Anton, a special-purpose machine for molecular dynamics simulation, in ACM SIGARCH Computer Architecture News, vol. 35, pp. 1–12. (ACM, 2007)
13.
go back to reference F. Streitz, J. Gosli, M. Patel, B. Chan, R. Yates, B. de Supinski, J. Sexton, and J. Gunnels. 100+ TFLOP solidification simulations on BlueGene/L, in Proceedings of IEEE/ACM Supercomputing’05 (2005) F. Streitz, J. Gosli, M. Patel, B. Chan, R. Yates, B. de Supinski, J. Sexton, and J. Gunnels. 100+ TFLOP solidification simulations on BlueGene/L, in Proceedings of IEEE/ACM Supercomputing’05 (2005)
14.
go back to reference E. Hendriks, G.M. Kontogeorgis, R. Dohrn, J.-C. de Hemptinne, I.G. Economou, L.F. Zilnik, V. Vesovic, Industrial requirements for thermodynamics and transport properties. Ind. Eng. Chem. Res. 49(22), 11131–11141 (2010)CrossRef E. Hendriks, G.M. Kontogeorgis, R. Dohrn, J.-C. de Hemptinne, I.G. Economou, L.F. Zilnik, V. Vesovic, Industrial requirements for thermodynamics and transport properties. Ind. Eng. Chem. Res. 49(22), 11131–11141 (2010)CrossRef
15.
go back to reference O. Konrad, Molekulardynamische Simulationen zur Solvation von Methan in Wasser. Ph.D. thesis, Universität Hamburg, 2008 O. Konrad, Molekulardynamische Simulationen zur Solvation von Methan in Wasser. Ph.D. thesis, Universität Hamburg, 2008
16.
go back to reference M. P. Allen, D. J. Tildesley, Computer Simulation of Liquids. Oxford University Press, Oxford (1989) M. P. Allen, D. J. Tildesley, Computer Simulation of Liquids. Oxford University Press, Oxford (1989)
17.
go back to reference P. Ungerer, C. Nieto Draghi, B. Rousseau, G. Ahunbay, V. Lachet, Molecular simulation of the thermophysical properties of fluids: From understanding toward quantitative predictions. J. Mol. Liq. 134, 71–89 (2007)CrossRef P. Ungerer, C. Nieto Draghi, B. Rousseau, G. Ahunbay, V. Lachet, Molecular simulation of the thermophysical properties of fluids: From understanding toward quantitative predictions. J. Mol. Liq. 134, 71–89 (2007)CrossRef
18.
go back to reference R. Lustig, Direct molecular NVT simulation of the isobaric heat capacity, speed of sound, and Joule-Thomson coefficient. Mol. Simul. 37(6), 457–465 (2011)CrossRefMATH R. Lustig, Direct molecular NVT simulation of the isobaric heat capacity, speed of sound, and Joule-Thomson coefficient. Mol. Simul. 37(6), 457–465 (2011)CrossRefMATH
19.
go back to reference F. Rösch, H.-R. Trebin, Crack front propagation by kink formation. Europhys. Lett. 87, 66004 (2009)CrossRef F. Rösch, H.-R. Trebin, Crack front propagation by kink formation. Europhys. Lett. 87, 66004 (2009)CrossRef
20.
go back to reference S. Deublein, B. Eckl, J. Stoll, S.V. Lishchuk, G. Guevara-Carrion, C.W. Glass, T. Merker, M. Bernreuther, H. Hasse, J. Vrabec, ms2: a molecular simulation tool for thermodynamic properties. Comput. Phys. Commun. 182(11), 2350–2367 (2011)CrossRef S. Deublein, B. Eckl, J. Stoll, S.V. Lishchuk, G. Guevara-Carrion, C.W. Glass, T. Merker, M. Bernreuther, H. Hasse, J. Vrabec, ms2: a molecular simulation tool for thermodynamic properties. Comput. Phys. Commun. 182(11), 2350–2367 (2011)CrossRef
21.
go back to reference K. Binder, Applications of Monte Carlo methods to statistical physics. Rep. Prog. Phys. 60(5), 487–559 (1997)CrossRef K. Binder, Applications of Monte Carlo methods to statistical physics. Rep. Prog. Phys. 60(5), 487–559 (1997)CrossRef
22.
go back to reference B. Eckl, J. Vrabec, H. Hasse, Set of molecular models based on quantum mechanical ab initio calculations and thermodynamic data. J. Phys. Chem. B 112(40), 12710–12721 (2008)CrossRef B. Eckl, J. Vrabec, H. Hasse, Set of molecular models based on quantum mechanical ab initio calculations and thermodynamic data. J. Phys. Chem. B 112(40), 12710–12721 (2008)CrossRef
23.
go back to reference G. Guevara Carrión, H. Hasse, and J. Vrabec, Thermodynamic properties for applications in chemical industry via classical force fields, in Multiscale Molecular Methods in Applied Chemistry, number 307 in Topics in Current Chemistry (Springer, Heidelberg, 2012), pp. 201–249 G. Guevara Carrión, H. Hasse, and J. Vrabec, Thermodynamic properties for applications in chemical industry via classical force fields, in Multiscale Molecular Methods in Applied Chemistry, number 307 in Topics in Current Chemistry (Springer, Heidelberg, 2012), pp. 201–249
24.
go back to reference B. Eckl, J. Vrabec, H. Hasse, On the application of force fields for predicting a wide variety of properties: ethylene oxide as an example. Fluid Phase Equilibria 274(1–2), 16–26 (2008)CrossRef B. Eckl, J. Vrabec, H. Hasse, On the application of force fields for predicting a wide variety of properties: ethylene oxide as an example. Fluid Phase Equilibria 274(1–2), 16–26 (2008)CrossRef
25.
go back to reference M.G. Martin, J.I. Siepmann, Novel configurational-bias Monte Carlo method for branched molecules. Transferable potentials for phase equilibria. 2. United-atom description of branched alkanes. J. Phys. Chem. B 103(21), 4508–4517 (1999)CrossRef M.G. Martin, J.I. Siepmann, Novel configurational-bias Monte Carlo method for branched molecules. Transferable potentials for phase equilibria. 2. United-atom description of branched alkanes. J. Phys. Chem. B 103(21), 4508–4517 (1999)CrossRef
26.
go back to reference M. Horsch, J. Vrabec, M. Bernreuther, H. Hasse, Poiseuille flow of liquid methane in nanoscopic graphite channels by molecular dynamics simulation, in Proceedings of the 6th International Symposium on Turbulence, Heat and Mass Transfer, ed. by K. Hanjalić (Begell House, New York, 2009), pp. 89–92 M. Horsch, J. Vrabec, M. Bernreuther, H. Hasse, Poiseuille flow of liquid methane in nanoscopic graphite channels by molecular dynamics simulation, in Proceedings of the 6th International Symposium on Turbulence, Heat and Mass Transfer, ed. by K. Hanjalić (Begell House, New York, 2009), pp. 89–92
27.
go back to reference J.C. Phillips, R. Braun, W. Wang, J. Gumbart, E. Tajkhorshid, E. Villa, C. Chipot, R.D. Skeel, L. Kale, K. Schulten, Scalable molecular dynamics with NAMD. J. Comput. Chem. 26(16), 1781–1802 (2005)CrossRef J.C. Phillips, R. Braun, W. Wang, J. Gumbart, E. Tajkhorshid, E. Villa, C. Chipot, R.D. Skeel, L. Kale, K. Schulten, Scalable molecular dynamics with NAMD. J. Comput. Chem. 26(16), 1781–1802 (2005)CrossRef
28.
go back to reference S. Plimpton, Fast parallel algorithms for short-range molecular dynamics. J. Comput. Phys. 117(1), 1–19 (1995)CrossRefMATH S. Plimpton, Fast parallel algorithms for short-range molecular dynamics. J. Comput. Phys. 117(1), 1–19 (1995)CrossRefMATH
29.
go back to reference T.C. Germann, K. Kadau, Trillion-atom molecular dynamics becomes a reality. Int. J. Mod. Phys. C 19(09), 1315–1319 (2008)CrossRefMATH T.C. Germann, K. Kadau, Trillion-atom molecular dynamics becomes a reality. Int. J. Mod. Phys. C 19(09), 1315–1319 (2008)CrossRefMATH
30.
go back to reference R. Hockney, S. Goel, J. Eastwood, Quiet high-resolution computer models of a plasma. J. Comput. Phys. 14(2), 148–158 (1974)CrossRef R. Hockney, S. Goel, J. Eastwood, Quiet high-resolution computer models of a plasma. J. Comput. Phys. 14(2), 148–158 (1974)CrossRef
31.
go back to reference W. Eckhardt, Efficient HPC implementations for large-scale molecular simulation in process engineering. Ph.D. thesis, Institut für Informatik, Technische Universität München, München, 2014. Dissertation available from publishing house Dr. Hut under ISBN: 978-3-8439-1746-9 W. Eckhardt, Efficient HPC implementations for large-scale molecular simulation in process engineering. Ph.D. thesis, Institut für Informatik, Technische Universität München, München, 2014. Dissertation available from publishing house Dr. Hut under ISBN: 978-3-8439-1746-9
32.
go back to reference A. Heinecke, Boosting scientific computing applications through leveraging data parallel architectures. Ph.D. thesis, Institut für Informatik, Technische Universität München, 2014. Dissertation available from publishing house Dr. Hut under ISBN: 978-3-8439-1408-6 A. Heinecke, Boosting scientific computing applications through leveraging data parallel architectures. Ph.D. thesis, Institut für Informatik, Technische Universität München, 2014. Dissertation available from publishing house Dr. Hut under ISBN: 978-3-8439-1408-6
Metadata
Title
Introduction
Authors
Alexander Heinecke
Wolfgang Eckhardt
Martin Horsch
Hans-Joachim Bungartz
Copyright Year
2015
DOI
https://doi.org/10.1007/978-3-319-17148-7_1