Predictive Modeling of Nanomaterial Properties

Sponsored by the National Science Foundation
Hosted by the Network for Computational Nanotechnology (NCN)

Problem Statement:
Detailed models are capable of describing various aspects of the synthesis, structure and properties of materials and fluids at sub nanometer length scales. Experimental methods are not always able to probe the length and time scales accessible to electronic structure or atomistic level simulations. Models capable of describing materials over multiple length and time scales, or formalisms and methods that enable bridging of multiple time and length scales in a seamless manner, thereby enabling a fundamental understanding of materials behavior in functional devices or structures must still be developed. These models must be verified and validated, and industry should be engaged in a way that promotes the application of these models and methods.

Where & When

Date: October 9 - 10, 2007
Location: Arlington Residence Court Hotel, Arlington, VA
http://www.arlingtoncourthotel.com/

Menu

Overivew
Joint Modeling Needs (Background Information)
AF&PA Nano Forest (Background Information)
Industry Modeling Needs (one page requests from industry)
Agenda
Workshop Presentations & Breakout Summaries

Workshop Goals:

To identify critical needs, common themes, challenges, and opportunities for predictive modeling of nanomaterials and to define a research program to address these challenges and engage the National Science Foundation, U.S. industry, and the federal laboratories.

Expected Outcomes:

The specific objectives of the workshop are:

  1. To identify common themes, challenges, and opportunities that cut across academic disciplines and multiple industries.
  2. To define four broad research thrusts
  3. To identify specific roles that academia, industry, and the national laboratories can play in addressing these issues.
  4. To define a program model for pre-competitive, collaborative research that would address these themes, challenges, and opportunities and establish a foundation for fundamental understanding and predictive modeling of nanomaterials.
  5. Define specific research objectives to support the stated goals


Workshop Organizers
Co-chairs:
Mark Lundstrom
Director, Network for Computational Nanotechnology, Purdue University
lundstro@purdue.edu

C. Michael Garner
Manager, External Materials Research, Intel Corporation
mike.c.garner@intel.com
Steering Committee:
Keith McIver
Program Manager, Boeing
keith.1.mciver@boeing.com

Anne Chaka
Senior Scientist, NIST
anne.chaka@nist.gov

Juan DePablo
Howard Curler Distinguished Professor, Department of Chemical and Biological Egineering, University of Wisconsin
depablo@engr.wisc.edu

R. Byron Pipes
John Leighton Bray Distinguished Professor of Engineering, Purdue University
bpipes@purdue.edu

If you have any questions, about local arrangements, please contact