Recent progress in adaptive multiscale molecular dynamics simulations of soft matter.

Understanding mesoscopic phenomena in terms of the fundamental motions of atoms and electrons poses a severe challenge for molecular simulation. This challenge is being met by multiscale modeling techniques that aim to bridge between the microscopic and mesoscopic time and length scales. In such techniques different levels of theory are combined to describe a system at a number of scales or resolutions. Here we review recent advancements in adaptive hybrid simulations, in which the different levels are used in separate spatial domains and matter can diffuse from one region to another with an accompanying resolution change. We discuss what it means to simulate such a system, and how to enact the resolution changes. We show how to construct efficient adaptive hybrid quantum mechanics/molecular mechanics (QM/MM) and atomistic/coarse grain (AA/CG) molecular dynamics methods that use an intermediate healing region to smoothly couple the regions together. This coupling is formulated to use only the native forces inherent to each region. The total energy is conserved through the use of auxiliary bookkeeping terms. Error control, and the choice of time step and healing region width, is obtained by careful analysis of the energy flow between the different representations. We emphasize the CG → AA reverse mapping problem and show how this problem is resolved through the use of rigid atomistic fragments located within each CG particle whose orientation is preconditioned for a possible resolution change through a rotational dynamics scheme. These advancements are shown to enable the adaptive hybrid multiscale molecular dynamics simulation of macromolecular soft matter systems.

[1]  Gang-yu Liu,et al.  Nanografting for surface physical chemistry. , 2008, Annual review of physical chemistry.

[2]  Andrzej J. Rzepiela,et al.  Reconstruction of atomistic details from coarse‐grained structures , 2010, J. Comput. Chem..

[3]  D. Truhlar,et al.  QM/MM: what have we learned, where are we, and where do we go from here? , 2007 .

[4]  Michele Parrinello,et al.  Energy Conservation in Adaptive Hybrid Atomistic/Coarse-Grain Molecular Dynamics. , 2007, Journal of chemical theory and computation.

[5]  Lydia E Kavraki,et al.  From coarse‐grain to all‐atom: Toward multiscale analysis of protein landscapes , 2007, Proteins.

[6]  K. Binder,et al.  Multiscale modeling of polymers at interfaces , 2009, 0910.3168.

[7]  E Weinan,et al.  Heterogeneous multiscale methods: A review , 2007 .

[8]  J. Stickel,et al.  FLUID MECHANICS AND RHEOLOGY OF DENSE SUSPENSIONS , 2001 .

[9]  Klaus R. Liedl,et al.  A QM/MM simulation method applied to the solution of Li+ in liquid ammonia , 1996 .

[10]  P. Kollman,et al.  Biomolecular simulations: recent developments in force fields, simulations of enzyme catalysis, protein-ligand, protein-protein, and protein-nucleic acid noncovalent interactions. , 2001, Annual review of biophysics and biomolecular structure.

[11]  Qiang Shi,et al.  Mixed atomistic and coarse-grained molecular dynamics: simulation of a membrane-bound ion channel. , 2006, The journal of physical chemistry. B.

[12]  Hao Hu,et al.  Free energies of chemical reactions in solution and in enzymes with ab initio quantum mechanics/molecular mechanics methods. , 2008, Annual review of physical chemistry.

[13]  Giovanni Samaey,et al.  Equation-free multiscale computation: algorithms and applications. , 2009, Annual review of physical chemistry.

[14]  P. Pechukas,et al.  Time-Dependent Semiclassical Scattering Theory. II. Atomic Collisions , 1969 .

[15]  Ellad B. Tadmor,et al.  A unified framework and performance benchmark of fourteen multiscale atomistic/continuum coupling methods , 2009 .

[16]  Xiaohua Huang,et al.  Noble metals on the nanoscale: optical and photothermal properties and some applications in imaging, sensing, biology, and medicine. , 2008, Accounts of chemical research.

[17]  M C Payne,et al.  "Learn on the fly": a hybrid classical and quantum-mechanical molecular dynamics simulation. , 2004, Physical review letters.

[18]  Jonathan W Essex,et al.  Permeability of small molecules through a lipid bilayer: a multiscale simulation study. , 2009, The journal of physical chemistry. B.

[19]  M. Parrinello,et al.  Classical polarizable force fields parametrized from ab initio calculations , 2002 .

[20]  Julien Michel,et al.  Prediction of partition coefficients by multiscale hybrid atomic-level/coarse-grain simulations. , 2008, The journal of physical chemistry. B.

[21]  Edward Lyman,et al.  Resolution exchange simulation. , 2005, Physical review letters.

[22]  Raymond Kapral,et al.  Progress in the theory of mixed quantum-classical dynamics. , 2006, Annual review of physical chemistry.

[23]  William L Jorgensen,et al.  Efficient drug lead discovery and optimization. , 2009, Accounts of chemical research.

[24]  Zesheng Li,et al.  An automatic coarse-graining and fine-graining simulation method: application on polyethylene. , 2006, The journal of physical chemistry. B.

[25]  Michele Cascella,et al.  Topologically Based Multipolar Reconstruction of Electrostatic Interactions in Multiscale Simulations of Proteins. , 2008, Journal of chemical theory and computation.

[26]  K. Shirasu The HSP90-SGT1 chaperone complex for NLR immune sensors. , 2009, Annual review of plant biology.

[27]  Kurt Kremer,et al.  Hierarchical modeling of polystyrene: From atomistic to coarse-grained simulations , 2006 .

[28]  Matej Praprotnik,et al.  Adaptive resolution simulation of liquid water , 2007 .

[29]  Michael L. Klein,et al.  A coarse grain model for n-alkanes parameterized from surface tension data , 2003 .

[30]  C. Abrams Concurrent dual-resolution Monte Carlo simulation of liquid methane. , 2005, The Journal of chemical physics.

[31]  Matej Praprotnik,et al.  FAST TRACK COMMUNICATION: Fractional dimensions of phase space variables: a tool for varying the degrees of freedom of a system in a multiscale treatment , 2007 .

[32]  Matej Praprotnik,et al.  Concurrent triple-scale simulation of molecular liquids. , 2008, The Journal of chemical physics.

[33]  Wataru Shinoda,et al.  A Transferable Coarse Grain Non-bonded Interaction Model For Amino Acids. , 2009, Journal of chemical theory and computation.

[34]  Andrea Di Matteo,et al.  From mesoscale back to atomistic models: a fast reverse-mapping procedure for vinyl polymer chains. , 2007, The journal of physical chemistry. B.

[35]  Florian Müller-Plathe,et al.  Coarse-graining in polymer simulation: from the atomistic to the mesoscopic scale and back. , 2002, Chemphyschem : a European journal of chemical physics and physical chemistry.

[36]  Andreas Heyden,et al.  Solving the equations of motion for mixed atomistic and coarse-grained systems , 2009 .

[37]  Valentina Tozzini,et al.  Multiscale modeling of proteins. , 2010, Accounts of chemical research.

[38]  Donald G Truhlar,et al.  Adaptive partitioning in combined quantum mechanical and molecular mechanical calculations of potential energy functions for multiscale simulations. , 2007, The journal of physical chemistry. B.

[39]  K. Kremer,et al.  Adaptive resolution molecular-dynamics simulation: changing the degrees of freedom on the fly. , 2005, The Journal of chemical physics.

[40]  P. Renaud,et al.  Transport phenomena in nanofluidics , 2008 .

[41]  J. Frank,et al.  Recent progress in the crystallographic studies of photosystem II. , 2010, Chemphyschem : a European journal of chemical physics and physical chemistry.

[42]  Wilfred F van Gunsteren,et al.  Multigraining: an algorithm for simultaneous fine-grained and coarse-grained simulation of molecular systems. , 2006, The Journal of chemical physics.

[43]  Matej Praprotnik,et al.  Adaptive molecular resolution via a continuous change of the phase space dimensionality. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[44]  Kurt Kremer,et al.  Long time atomistic polymer trajectories from coarse grained simulations: bisphenol-A polycarbonate. , 2006, Soft matter.

[45]  Petr Krysl,et al.  Explicit Newmark/Verlet algorithm for time integration of the rotational dynamics of rigid bodies , 2005 .

[46]  Teerakiat Kerdcharoen,et al.  ONIOM-XS: an extension of the ONIOM method for molecular simulation in condensed phase , 2002 .

[47]  Kurt Kremer,et al.  Bridging the Gap Between Atomistic and Coarse-Grained Models of Polymers: Status and Perspectives , 2000 .

[48]  Wataru Shinoda,et al.  Large-Scale Molecular Dynamics Simulations of Self-Assembling Systems , 2008, Science.

[49]  Donald G Truhlar,et al.  Conservative Algorithm for an Adaptive Change of Resolution in Mixed Atomistic/Coarse-Grained Multiscale Simulations. , 2008, Journal of chemical theory and computation.

[50]  F. Müller-Plathe,et al.  Fine-graining without coarse-graining: an easy and fast way to equilibrate dense polymer melts. , 2010, Faraday discussions.

[51]  Matej Praprotnik,et al.  Multiscale simulation of soft matter: from scale bridging to adaptive resolution. , 2008, Annual review of physical chemistry.

[52]  Matej Praprotnik,et al.  Adaptive resolution scheme for efficient hybrid atomistic-mesoscale molecular dynamics simulations of dense liquids. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

[53]  Bernd Ensing,et al.  Multiscale molecular dynamics and the reverse mapping problem , 2010 .

[54]  Guillermo C Bazan,et al.  "Plastic" solar cells: self-assembly of bulk heterojunction nanomaterials by spontaneous phase separation. , 2009, Accounts of chemical research.

[55]  G. Ciccotti,et al.  Blue moon sampling, vectorial reaction coordinates, and unbiased constrained dynamics. , 2005, Chemphyschem : a European journal of chemical physics and physical chemistry.

[56]  O. Andreikiv,et al.  Crack growth in structural materials under the combined action of fatigue and creep (review) , 2009 .

[57]  Gregory A Voth,et al.  Reconstructing atomistic detail for coarse-grained models with resolution exchange. , 2008, The Journal of chemical physics.

[58]  Lucas Visscher,et al.  Toward a Practical Method for Adaptive QM/MM Simulations. , 2009, Journal of chemical theory and computation.

[59]  D. Paschek,et al.  Diffusion of Binary Mixtures in Zeolites: Kinetic Monte Carlo versus Molecular Dynamics Simulations , 2001 .

[60]  Gregory A Voth,et al.  Smart resolution replica exchange: an efficient algorithm for exploring complex energy landscapes. , 2007, The Journal of chemical physics.

[61]  Edward Lyman,et al.  Resolution Exchange Simulation with Incremental Coarsening. , 2006, Journal of chemical theory and computation.

[62]  Kurt Kremer,et al.  Multiscale simulation of soft matter systems – from the atomistic to the coarse-grained level and back , 2009 .

[63]  Juan J. de Pablo,et al.  Multiscale Modeling in Advanced Materials Research: Challenges, Novel Methods, and Emerging Applications , 2007 .

[64]  Abdulmajeed A. Mohamad,et al.  A review of the development of hybrid atomistic–continuum methods for dense fluids , 2010 .

[65]  A. Cohen,et al.  Spectroscopy in sculpted fields , 2009 .

[66]  Kurt Kremer,et al.  Simulation of Polymer Melts. II. From Coarse-Grained Models Back to Atomistic Description , 1998 .

[67]  Matej Praprotnik,et al.  Modeling diffusive dynamics in adaptive resolution simulation of liquid water. , 2007, The Journal of chemical physics.