710 Making Molecular Simulation a Mainstream Chemical Engineering Tool


Description:
There are multiple reasons that the potential benefits of molecular simulation for property prediction and materials design have not been fully realized. As computer power increases, computational cost has become less important as one of these limiting factors. Instead, the main limiting factors now include the significant expertise required to generate useful results, poor interoperability of molecular simulation programs, lack of robustness of codes, lack of validation with respect to experiment or previous simulations, and lack of reproducibility across the available simulation codes. This session focuses on proposed solutions to or explorations of these new limiting factors.

Sponsor:
Computational Molecular Science and Engineering Forum


Chair:
Michael R. Shirts
University of Colorado Boulder
Department of Chemical And Biological Engineering
Havemeyer Hall MC 3131
Boulder, CO
10027
Fax Number: Fax: (212)-854-7454
Email: michael.shirts@colorado.edu

Co-Chair:
Heather Mayes
Assistant Professor
University of Michigan
Ann Arbor
Email: hbmayes@umich.edu


Papers:
The Living Journal of Computational Molecular Science: Improving Community Use of Molecular Simulation Methods through a New Publishing Model
Michael R. Shirts, University of Colorado Boulder; David L. Mobley, University of California Irvine; Daniel M. Zuckerman, Oregon Health & Science University
Strategies and Software for Accelerating Inorganic Molecular Design
Heather J. Kulik, Massachusetts Institute of Technology; Jon Paul Janet, MIT; Chenru Duan, Massachusetts Institute of Technology; Aditya Nandy, Massachusetts Institute of Technology; Stefan Gugler, Massachusetts Institute of Technology
Computational Materials Education and Training (CoMET): A Graduate Training Program to Teach Fundamentals of Quantum Density Functional Theory to Engineers and Scientists
Kristen Fichthorn, Pennsylvania State University; Michael J. Janik, Pennsylvania State University; Lasse Jensen, Pennsylvania State University; Jorge Sofo, Pennsylvania State University; Adri van Duin, The Pennsylvania State University
Software Strategies for Increasing Throughput and Reproducibility While Lowering Cognitive Load in Molecular Simulation
Eric Jankowski, Boise State University; Stephen Thomas, Boise State University; Michael Henry, Boise State University
Reproducible Computational Workflows with Signac
Carl Simon Adorf, University of Michigan; Paul M. Dodd, University of Michigan; Vyas Ramasubramani, University of Michigan; Bradley Dice, University of Michigan; Sharon C. Glotzer, University of Michigan
Comsoft Workbench: Tools for Efficient Coarse-Grained Modeling of Soft Materials*
Frederick R. Phelan Jr., National Institute of Standards and Technology; Brian Moroz, National Institute of Standards and Technology
MoSDeF: Molecular Simulation and Design Framework for Transparent, Reproducible, Usable By Others, Extensible Simulations (TRUE)
Peter T. Cummings, Vanderbilt University; Justin Gilmer, Vanderbilt University; Christoph Klein, Vanderbilt University; János Sallai, Vanderbilt University; Andrew Z. Summers, Vanderbilt University; Chris Iacovella, Vanderbilt University; Ákos Lédeczi, Vanderbilt University; Peter Volgyesi, Vanderbilt University; Clare McCabe, Vanderbilt University
Abstract Submissions Closed