Hostname: page-component-78c5997874-94fs2 Total loading time: 0 Render date: 2024-11-19T22:46:14.558Z Has data issue: false hasContentIssue false

Astrochemistry Library with Artificial Intelligence for Quality Control

Published online by Cambridge University Press:  07 August 2017

Sheo S. Prasad
Affiliation:
Lockheed Palo Alto Research Laboratory (O/91-20, B255) Hanover Street, Palo Alto, CA 94304, USA Space Science Center (SHS-274) & Department of Physics University of Southern California, Los Angeles, CA 90089-1341, USA
Pradip Gangopadhaya
Affiliation:
Space Science Center (SHS-274) & Department of Physics University of Southern California, Los Angeles, CA 90089-1341, USA

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Libraries of reactions used in astrochemistry modeling have seen an explosive increase in size in recent years. Their quality control by manual effort is almost impossible. Expert systems with artificial intelligence are now needed to ensure the quality of large scale astrochemistry libraries.

Type
Basic Studies
Copyright
Copyright © Kluwer 1992 

References

REFERENCES:

Prasad, S.S. & Huntress, W.T. Jr. 1980, ApJS, 43, 1.CrossRefGoogle Scholar
Millar, T.J., Rawlings, J.M.C., Bennett, A., Brown, P.D., & Charnley, S.B., 1991, A &AS , 87, 585.Google Scholar