Using Data Science to Improve GC-MS Materials Aging Studies.
Conference
·
OSTI ID:1364785
Abstract not provided.
- Research Organization:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 1364785
- Report Number(s):
- SAND2015-4739PE; 625674
- Resource Relation:
- Conference: Proposed for presentation at the PNNL Job Interview held June 11-13, 2015 in Richland, WA.
- Country of Publication:
- United States
- Language:
- English
Similar Records
A Method for Automated Data Extraction and Peak Identification from Large GC-MS Data Sets Using Multivariate Analysis.
Analysis of GC-MS Nylon 6.6 Data Using Multivariate Curve Resolution - Alternating Least Squares.
Reducing Uncertainties for Hydrogen Loading Determination of 14-bis(phenethynl)benzene (DEB) Using GC/MS Instead of the Traditionally-used CHN Analysis Method.
Conference
·
Fri May 01 00:00:00 EDT 2015
·
OSTI ID:1364785
+1 more
Analysis of GC-MS Nylon 6.6 Data Using Multivariate Curve Resolution - Alternating Least Squares.
Conference
·
Thu May 01 00:00:00 EDT 2014
·
OSTI ID:1364785
+1 more
Reducing Uncertainties for Hydrogen Loading Determination of 14-bis(phenethynl)benzene (DEB) Using GC/MS Instead of the Traditionally-used CHN Analysis Method.
Conference
·
Sat Oct 01 00:00:00 EDT 2011
·
OSTI ID:1364785