Global analysis peak fitting for chemical spectroscopy data
Abstract
The present invention relates to methods for analyzing a chemical sample. For instance, the methods herein allow for global analysis of spectroscopy data in order to extract useful chemical properties from complicated multidimensional data. Such analysis can optionally employ data compression to further expedite computer-implemented computation. In particular, the methods herein provide global analysis of data matrices explained by both linear and non-linear terms.
- Inventors:
- Issue Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1632523
- Patent Number(s):
- 10551247
- Application Number:
- 15/082,922
- Assignee:
- National Technology & Engineering Solutions of Sandia, LLC (Albuquerque, NM)
- Patent Classifications (CPCs):
-
G - PHYSICS G01 - MEASURING G01N - INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
G - PHYSICS G06 - COMPUTING G06F - ELECTRIC DIGITAL DATA PROCESSING
- DOE Contract Number:
- AC04-94AL85000
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 03/28/2016
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY; 97 MATHEMATICS AND COMPUTING
Citation Formats
Van Benthem, Mark, and Ohlhausen, James A. Global analysis peak fitting for chemical spectroscopy data. United States: N. p., 2020.
Web.
Van Benthem, Mark, & Ohlhausen, James A. Global analysis peak fitting for chemical spectroscopy data. United States.
Van Benthem, Mark, and Ohlhausen, James A. Tue .
"Global analysis peak fitting for chemical spectroscopy data". United States. https://www.osti.gov/servlets/purl/1632523.
@article{osti_1632523,
title = {Global analysis peak fitting for chemical spectroscopy data},
author = {Van Benthem, Mark and Ohlhausen, James A.},
abstractNote = {The present invention relates to methods for analyzing a chemical sample. For instance, the methods herein allow for global analysis of spectroscopy data in order to extract useful chemical properties from complicated multidimensional data. Such analysis can optionally employ data compression to further expedite computer-implemented computation. In particular, the methods herein provide global analysis of data matrices explained by both linear and non-linear terms.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {2}
}
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