Mesoscopic distinct element method-enabled multiscale computational design of carbon nanotube-based composite materials

Metadata Updated: May 2, 2019

There is a sustained effort to develop super-lightweight composites by using polymer impregnation of carbon nanotube (CNT) sheets. This promising area is still in its early stages and significant progress is required before CNT-based composites can be used in load bearing aerospace structures. Researchers from the University of Minnesota, Rensselaer Polytechnic Institute, and Skolkovo Institute of Science and Technology in Moscow will develop a broad scope multiscale modeling methodology able to simulate the mechanics of these materials. A mesoscopic distinct element method will allow for simulations of massive fibrous ensembles not only through parallel computing but also through efficient coarse graining of the atomistic scale interactions. This development will accelerate progress by providing the ability to guide experimental design through simulations.

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Public: This dataset is intended for public access and use. License: U.S. Government Work

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Metadata Created Date August 1, 2018
Metadata Updated Date May 2, 2019

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date August 1, 2018
Metadata Updated Date May 2, 2019
Publisher Space Technology Mission Directorate
Unique Identifier TECHPORT_91771
Maintainer Email
Public Access Level public
Bureau Code 026:00
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Datagov Dedupe Retained 20190501230127
Harvest Object Id 92949947-ae03-4d2e-848d-ed37791e8f08
Harvest Source Id 39e4ad2a-47ca-4507-8258-852babd0fd99
Harvest Source Title NASA Data.json
Data First Published 2019-01-01
Homepage URL
Data Last Modified 2018-07-19
Program Code 026:027
Source Datajson Identifier True
Source Hash 0aad33240ed449eb5591d41f5a850d854394e7b2
Source Schema Version 1.1

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