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Title: A Novel Retrosynthesis Software for Identifying Optimal Pathways for Biological Production of Fuel Compounds.

Abstract

Abstract not provided.

Authors:
; ;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-CA), Livermore, CA (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Bioenergy Technologies Office (EE-3B)
OSTI Identifier:
1372752
Report Number(s):
SAND2016-6910C
645881
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the Sandia National Laboratory Intern Symposium held July 27, 2016 in Livermore, CA.
Country of Publication:
United States
Language:
English

Citation Formats

Hudson, Corey, Deng, Sarah, and Whitmore, Leanne Susan. A Novel Retrosynthesis Software for Identifying Optimal Pathways for Biological Production of Fuel Compounds.. United States: N. p., 2016. Web.
Hudson, Corey, Deng, Sarah, & Whitmore, Leanne Susan. A Novel Retrosynthesis Software for Identifying Optimal Pathways for Biological Production of Fuel Compounds.. United States.
Hudson, Corey, Deng, Sarah, and Whitmore, Leanne Susan. Fri . "A Novel Retrosynthesis Software for Identifying Optimal Pathways for Biological Production of Fuel Compounds.". United States. doi:. https://www.osti.gov/servlets/purl/1372752.
@article{osti_1372752,
title = {A Novel Retrosynthesis Software for Identifying Optimal Pathways for Biological Production of Fuel Compounds.},
author = {Hudson, Corey and Deng, Sarah and Whitmore, Leanne Susan},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Jul 01 00:00:00 EDT 2016},
month = {Fri Jul 01 00:00:00 EDT 2016}
}

Conference:
Other availability
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