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Computational Chemical Dynamics of Complex Systems


EMSL Project ID
20893

Abstract

The goal of this project is to apply powerful new simulation techniques to tackle computationally challenging problems in chemical dynamics, with special emphasis on electrochemistry, heterogeneous catalysis, nanoparticles, solid-state dynamics, and photochemistry. These calculations will be carried out with new high-throughput integrated software that we are developing. New research capabilities in computational chemical dynamics are expected to play a significant role in enabling environmental scientists worldwide to address environmental challenges facing DOE and the nation. Recent advances in computer power and algorithms have made possible accurate calculations of many chemical properties for both equilibria and kinetics. Nonetheless, applications to complex chemical systems, such as reactive processes in the condensed phase, remain problematic due to the lack of a seamless integration of computational methods that allow modern quantum electronic structure calculations to be combined with state-of-the-art methods for chemical thermodynamics and reactive dynamics. These problems are often exacerbated by unvalidated methods and limited software reliability. Our consortium is developing an integrated software suite that combines electronic structure packages with dynamics codes and efficient sampling algorithms for the following kinds of condensed-phase modeling problems that we propose to tackle in various parts of the present Grand Challenge project: thermochemical kinetics and rate constants, photochemistry and spectroscopy, chemical and phase equilibria, electrochemistry, and heterogeneous catalysis. These fundamental areas of research are important for solar energy, fuel-cell technology, environmental remediation, weather modeling, pollution modeling, and atmospheric chemistry. Photochemical creation of excited states offers a means to control chemical transformations because different wavelengths of light can be used to create different vibronic states, thereby directing chemical reactions along different pathways. It is crucial to understand how energy deposited into the system is used; this is particularly complicated in condensed phase systems where there are many ways to dissipate excess energy. Similar opportunities and challenges present themselves in the areas of electrochemistry and catalysis. We therefore propose to carry out prototype large-scale applications on environmental problems as well as other applications to complex chemical dynamics processes, focusing on three high-impact areas. In the computational electrochemistry area, we will be especially concerned with processes that enhance the design of fuel cell technology and with the calculation of in situ reduction potentials. For heterogeneous, nanoparticle, and solid-state dynamics, we will develop an array of methods for multi-time-scale simulation of nucleation of crystals in solution, reactions of radicals at solution-phase interfaces and in ice, zeolite catalysis, structure and dynamics of gallazane precursors to gallium nitride nanocrystals, the regulatory role of metal ions in the reactivity of inorganic phosphates, nanoparticles structure and dynamics, and ice dynamics. In the computational photochemistry area, we will construct potential energy surfaces for a number of photochemical reactions and employ them for dynamics calculations based on the new decay of mixing with coherent switches algorithm. We will also consider solvatochromic shifts on conical intersections that govern selected photo chemical processes.


Project Details

Project type
Capability Research
Start Date
2006-10-01
End Date
2009-09-30
Status
Closed

Team

Principal Investigator

Donald Truhlar
Institution
University of Minnesota

Team Members

Boris Averkiev
Institution
University of Minnesota

Brian White
Institution
University of Minnesota

Ke Yang
Institution
Yale University

Manjeera Mantina
Institution
University of Minnesota

Ewa Papajak
Institution
University of Minnesota

Bo Wang
Institution
University of Minnesota

Lucas Fiedler
Institution
University of Minnesota

Hannah Leverentz
Institution
University of Minnesota

Ryan Olson
Institution
University of Minnesota

Aleksandr Marenich
Institution
University of Minnesota

Yao Fan
Institution
University of Minnesota

Jingjing Zheng
Institution
University of Minnesota

Kelly Anderson
Institution
University of Minnesota

Christopher Mundy
Institution
Pacific Northwest National Laboratory

Ashley Jay
Institution
University of Minnesota

Karol Kowalski
Institution
Pacific Northwest National Laboratory

Kwangho Nam
Institution
University of Minnesota

Jake Rafferty
Institution
University of Minnesota

Shuhua Ma
Institution
University of Minnesota

Alessandro Cembran
Institution
University of Minnesota

Yan Zhou
Institution
University of Minnesota

Wangshen Xie
Institution
University of Minnesota

Kiniu Wong
Institution
University of Minnesota

Joseph Scanlon
Institution
University of Minnesota

Oksana Tishchenko
Institution
University of Minnesota

Anastassia Sorkin
Institution
University of Minnesota

Rosendo Valero Montero
Institution
University of Minnesota

Zhen Li
Institution
University of Minnesota

Pablo Jaque
Institution
University of Minnesota

Mark Iron
Institution
Weizmann Institute

Andreas Heyden
Institution
University of South Carolina

Ming-kang Tsai
Institution
Brookhaven National Laboratory

Peng-Dong Fan
Institution
Pacific Northwest National Laboratory

Bojana Ginovska
Institution
Pacific Northwest National Laboratory

Elizabeth Amin
Institution
University of Minnesota

Erin Dahlke
Institution
University of Minnesota

Vassiliki-Alexandra Glezakou
Institution
Pacific Northwest National Laboratory

Ben Ellingson
Institution
University of Minnesota

Yan Zhao
Institution
University of Minnesota

Steven Mielke
Institution
University of Minnesota

Mark Cunningham
Institution
University of Texas-Pan American

Arindam Chakraborty
Institution
Syracuse University

Benjamin Lynch
Institution
University of Minnesota

Michel Dupuis
Institution
University at Albany, State University of New York

Joern Siepmann
Institution
University of Minnesota

Christopher Cramer
Institution
University of Minnesota

Gregory Schenter
Institution
Pacific Northwest National Laboratory

Shawn Kathmann
Institution
Pacific Northwest National Laboratory

Marat Valiev
Institution
Environmental Molecular Sciences Laboratory

Jiali Gao
Institution
University of Minnesota

Darrin York
Institution
University of Minnesota

Related Publications

On the Function of Pentameric Phospholamban: Ion Channel or Storage Form?

Becucci L, A Cembran, CB Karim, DD Thomas, R Guidelli, J Gao, and G Veglia. 2009. "On the Function of Pentameric Phospholamban: Ion Channel or Storage Form?" Biophysical Journal 96(10):L60-L62. doi:10.1016/j.bpj.2009.03.013

Universal Solvation Model Based on Solute Electron Density and on a Continuum Model of the Solvent Defined by the Bulk Dielectric Constant and Atomic Surface Tensions

Marenich A, CJ Cramer, and DG Truhlar. 2009. "Universal Solvation Model Based on Solute Electron Density and on a Continuum Model of the Solvent Defined by the Bulk Dielectric Constant and Atomic Surface Tensions." Journal of Physical Chemistry B 113(18):6378-6396. doi:10.1021/jp810292n

Thermochemical Kinetics for Multireference Systems: Addition Reactions of Ozone

Zhao Y, O Tishchenko, JR Gour, W Li, J Lutz, P Piecuch, and DG Truhlar. 2009. "Thermochemical Kinetics for Multireference Systems: Addition Reactions of Ozone." Journal of Physical Chemistry A 13(19):5786–5799. doi:10.1021/jp811054n

Exploring the Limit of Accuracy of the Global Hybrid Meta Density Functional for Main-Group Thermochemistry, Kinetics, and Noncovalent Interactions

Zhao Y, and DG Truhlar. 2008. "Exploring the Limit of Accuracy of the Global Hybrid Meta Density Functional for Main-Group Thermochemistry, Kinetics, and Noncovalent Interactions." Journal of Chemical Theory and Computation 4(11):1849-1868. doi:10.1021/ct800246v

Benchmark Energetic Data in a Model System for Grubbs II Metathesis Catalysis and Their Use for the Development, Assessment, and Validation of Electronic Structure Methods

Zhao Y, and DG Truhlar. 2009. "Benchmark Energetic Data in a Model System for Grubbs II Metathesis Catalysis and Their Use for the Development, Assessment, and Validation of Electronic Structure Methods." Journal of Chemical Theory and Computation 5(2):324-333. doi:10.1021/ct800386d

Perspective on Foundations of Solvation Modeling: The Electrostatic Contribution to the Free Energy of Solvation

Marenich A, CJ Cramer, and DG Truhlar. 2008. "Perspective on Foundations of Solvation Modeling: The Electrostatic Contribution to the Free Energy of Solvation." Journal of Chemical Theory and Computation 4(6):877-887. doi:10.1021/ct800029c

Density Functional Theory in Transition-Metal Chemistry:  Relative Energies of Low-Lying States of Iron Compounds and the Effect of Spatial Symmetry Breaking

Sorkin A, MA Iron, and DG Truhlar. 2008. "Density Functional Theory in Transition-Metal Chemistry: Relative Energies of Low-Lying States of Iron Compounds and the Effect of Spatial Symmetry Breaking." Journal of Chemical Theory and Computation 4(2):307-315. doi:10.1021/ct700250a

A Prototype for Graphene Material Simulation:  Structures and Interaction Potentials of Coronene Dimers

Zhao Y, and DG Truhlar. 2008. "A Prototype for Graphene Material Simulation: Structures and Interaction Potentials of Coronene Dimers." Journal of Physical Chemistry C 112(11):4061-4067. doi:10.1021/jp710918f

Benchmark Data for Interactions in Zeolite Model Complexes and Their Use for Assessment and Validation of Electronic Structure Methods

Zhao Y, and DG Truhlar. 2008. "Benchmark Data for Interactions in Zeolite Model Complexes and Their Use for Assessment and Validation of Electronic Structure Methods." Journal of Physical Chemistry C 112(17):6860-6868. doi:10.1021/jp7112363

Computational characterization and modeling of buckyball tweezers: density functional study of concave–convex π⋯π interactions

Zhao Y, and DG Truhlar. 2008. "Computational characterization and modeling of buckyball tweezers: density functional study of concave–convex π•••π interactions." Physical Chemistry Chemical Physics. PCCP 10:2813-2818. doi:10.1039/b717744e

Construction of a generalized gradient approximation by restoring the density-gradient expansion and enforcing a tight Lieb–Oxford bound

Zhao Y, and DG Truhlar. 2008. "Construction of a Generalized Gradient Approximation by Restoring the Density-gradient Expansion and Enforcing a Tight Lieb-Oxford Bound." Journal of Chemical Physics 128:184109/1-8. doi:10.1063/1.2912068

Density Functionals with Broad Applicability in Chemistry

Zhao Y, and DG Truhlar. 2008. "Density Functionals with Broad Applicability in Chemistry." Accounts of Chemical Research 41(2):157-167. doi:10.1021/ar700111a

How Well Can New-Generation Density Functionals Describe the Energetics of Bond-Dissociation Reactions Producing Radicals?

Zhao Y, and DG Truhlar. 2008. "How Well Can New-Generation Density Functionals Describe the Energetics of Bond-Dissociation Reactions Producing Radicals?" Journal of Physical Chemistry A 112(6):1095-1099. doi:10.1021/jp7109127