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Molecular modelling, with greater accuracy than ever, allows for the fastest and most economical way of experimenting before creating a new product or material. While the scientific world has generally not solved the problem, methods have been developed which are proving feasible in solving specific problems or predicting specific phenomena or properties. Led by editors who have expertise in this area, Multiscale Simulation Methods for Materials explores the impact of using an arsenal of molecular modelling tools for various simulations in industrial settings. It provides an overview of the…mehr
Molecular modelling, with greater accuracy than ever, allows for the fastest and most economical way of experimenting before creating a new product or material. While the scientific world has generally not solved the problem, methods have been developed which are proving feasible in solving specific problems or predicting specific phenomena or properties. Led by editors who have expertise in this area, Multiscale Simulation Methods for Materials explores the impact of using an arsenal of molecular modelling tools for various simulations in industrial settings. It provides an overview of the available methods for providing atomistic simulation of a broad range of materials using our increased understanding of molecular scale, nanoscale, mesoscale, and macroscale phenomena. The strengths and weaknesses of the methods at hand are discussed within a context of real-world examples. Unlike other texts, this book focuses on the most cutting-edge area within computational chemistry and molecular modelling: macromolecular simulations of a range of materials, and is aimed more toward the chemistry and chemical engineering communities than any previously published titles in this area.
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Autorenporträt
Richard B. Ross, PhD, has been a member of 3M Company's Corporate Materials Modeling Group since 1997. Dr. Ross's research at 3M focuses on applying computational chemical modeling methods to a wide range of research applications. He has coauthored thirty-three scientific articles, including five book chapters, and coedited a symposium proceedings book. Sanat Mohanty, PhD, is a research scientist at 3M Company's Corporate Research Lab, focusing on the development of materials by manipulating self-assemblies of small molecules. Dr. Mohanty has written more than a dozen peer-reviewed journal papers, three book chapters, plus a chapter in the Encyclopedia of Chemical Processing on mesoscale modeling and analysis.
Inhaltsangabe
Contributors vii Preface xi 1 Overview of Multiscale Simulation Methods for Materials 1 Sanat Mohanty and Richard B. Ross 2 Influence of Water and Fatty Acid Molecules on Quantum Photoinduced Electron Tunneling in Self-Assembled Photosynthetic Centers of Minimal Protocells 9 A. Tamulis, V. Tamulis, H. Ziock, and S. Rasmussen 3 Optimizing the Electronic Properties of Carbon Nanotubes Using Amphoteric Doping 29 Bobby G. Sumpter and Vincent Meunier 4 Using Order and Nanoconfinement to Tailor Semiconducting Polymers: A Combined Experimental and Multiscale Computational Study 47 Michael L. Drummond, Bobby G. Sumpter, Michael D. Barnes, William A. Shelton, Jr., and Robert J. Harrison 5 Coarse Grained-to-Atomistic Mapping Algorithm: A Tool for Multiscale Simulations 73 Steven O. Nielsen, Bernd Ensing, Preston B. Moore, and Michael L. Klein 6 Microscopic Insights into the Dynamics of Protein-Solvent Mixtures 89 Taner E. Dirama and Gustavo A. Carri 7 Mesoscale Simulations of Surface-Modified Nanospheres in Solvents 127 Sanat Mohanty 8 Fixing Interatomic Potentials Using Multiscale Modeling: Ad Hoc Schemes for Coupling Atomic and Continuum Simulations 141 Clifford W. Padgett, J. David Schall, J.Wesley Crill, and Donald W. Brenner 9 Fully Analytic Implementation of Density Functional Theory for Efficient Calculations on Large Molecules 157 Rajendra R. Zope and Brett I. Dunlap 10 Aluminum Nanoparticles: Accurate Potential Energy Functions and Physical Properties 169 Nathan E. Schultz, Ahren W. Jasper, Divesh Bhatt, J. Ilja Siepmann, and Donald G. Truhlar 11 Large-Scale Monte Carlo Simulations for Aggregation, Self-Assembly, and Phase Equilibria 189 Jake L. Rafferty, Ling Zhang, Nikolaj D. Zhuravlev, Kelly E. Anderson, Becky L. Eggimann, Matthew J. McGrath, and J. Ilja Siepmann 12 New QM/MM Models for Multiscale Simulation of Phosphoryl Transfer Reactions in Solution 201 Kwangho Nam, Jiali Gao, and Darrin M. York 13 Modeling the Thermal Decomposition of Large Molecules and Nanostructures 219 Marc R. Nyden, Stanislav I. Stoliarov, and Vadim D. Knyazev 14 Predicting Dynamic Mesoscale Structure of Commercially Relevant Surfactant Solutions 245 Fiona Case Index 271
Contributors vii Preface xi 1 Overview of Multiscale Simulation Methods for Materials 1 Sanat Mohanty and Richard B. Ross 2 Influence of Water and Fatty Acid Molecules on Quantum Photoinduced Electron Tunneling in Self-Assembled Photosynthetic Centers of Minimal Protocells 9 A. Tamulis, V. Tamulis, H. Ziock, and S. Rasmussen 3 Optimizing the Electronic Properties of Carbon Nanotubes Using Amphoteric Doping 29 Bobby G. Sumpter and Vincent Meunier 4 Using Order and Nanoconfinement to Tailor Semiconducting Polymers: A Combined Experimental and Multiscale Computational Study 47 Michael L. Drummond, Bobby G. Sumpter, Michael D. Barnes, William A. Shelton, Jr., and Robert J. Harrison 5 Coarse Grained-to-Atomistic Mapping Algorithm: A Tool for Multiscale Simulations 73 Steven O. Nielsen, Bernd Ensing, Preston B. Moore, and Michael L. Klein 6 Microscopic Insights into the Dynamics of Protein-Solvent Mixtures 89 Taner E. Dirama and Gustavo A. Carri 7 Mesoscale Simulations of Surface-Modified Nanospheres in Solvents 127 Sanat Mohanty 8 Fixing Interatomic Potentials Using Multiscale Modeling: Ad Hoc Schemes for Coupling Atomic and Continuum Simulations 141 Clifford W. Padgett, J. David Schall, J.Wesley Crill, and Donald W. Brenner 9 Fully Analytic Implementation of Density Functional Theory for Efficient Calculations on Large Molecules 157 Rajendra R. Zope and Brett I. Dunlap 10 Aluminum Nanoparticles: Accurate Potential Energy Functions and Physical Properties 169 Nathan E. Schultz, Ahren W. Jasper, Divesh Bhatt, J. Ilja Siepmann, and Donald G. Truhlar 11 Large-Scale Monte Carlo Simulations for Aggregation, Self-Assembly, and Phase Equilibria 189 Jake L. Rafferty, Ling Zhang, Nikolaj D. Zhuravlev, Kelly E. Anderson, Becky L. Eggimann, Matthew J. McGrath, and J. Ilja Siepmann 12 New QM/MM Models for Multiscale Simulation of Phosphoryl Transfer Reactions in Solution 201 Kwangho Nam, Jiali Gao, and Darrin M. York 13 Modeling the Thermal Decomposition of Large Molecules and Nanostructures 219 Marc R. Nyden, Stanislav I. Stoliarov, and Vadim D. Knyazev 14 Predicting Dynamic Mesoscale Structure of Commercially Relevant Surfactant Solutions 245 Fiona Case Index 271
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