arrow
Return

A collaborative informatics infrastructure for multi-scale science

delete2005-10-01
delete27
delete
OA
AI
J
James D. Myers
T
Thomas C. Allison
S
Sandra Bittner
B
Brett Didier
M
Michael Frenklach
W
William H. Green
Y
Yen-Ling Ho
J
John C. Hewson
W
Wendy S. Koegler
D
David J. Leahy
M
Michael Lee
R
Renata McCoy
M
Michael Minkoff
S
Sandeep Nijsure
G
Gregor von Laszewski
D
David Montoya
L
Luwi Oluwole
C
Carmen M. Pancerella
R
Reinhardt Pinzón
W
William J. Pitz
L
Larry A. Rahn
B
Branko Ruščić
K
Karen Schuchardt
E
Eric Stephan
A
Al Wagner
T
Theresa L. Windus
C
Christine L. Yang
DOI:10.1007/s10586-005-4092-4delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
The Collaboratory for Multi-scale Chemical Science (CMCS) is developing a powerful informatics-based approach to synthesizing multi-scale information in support of systems-based research and is applying it within combustion science. An open source multi-scale informatics toolkit is being developed that addresses a number of issues core to the emerging concept of knowledge grids including provenance tracking and lightweight federation of data and application resources into cross-scale information flows. The CMCS portal is currently in use by a number of high-profile pilot groups and is playing a significant role in enabling their efforts to improve and extend community maintained chemical reference information.
Keywords:
collaboratory
knowledge grid
provenance
multi-scale data
system science
community data
cyberenvironment
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

C
Cluster Computing-The Journal of Networks Software Tools and Applications
IF:
4.1
Papers:
5.0K
Citations:
7.5K

Organization

No organization information available