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Title: Machine learning enabled lineshape analysis in optical two-dimensional coherent spectroscopy

 [1]; ORCiD logo [2];  [1]; ORCiD logo [1]
  1. Florida International Univ., Miami, FL (United States)
  2. Florida International Univ., Miami, FL (United States); Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
Alternate Identifier(s):
OSTI ID: 1617107
Report Number(s):
Journal ID: ISSN 0740-3224; JOBPDE; 685393
Grant/Contract Number:  
AC04-94AL85000; NA0003525
Resource Type:
Accepted Manuscript
Journal Name:
Journal of the Optical Society of America. Part B, Optical Physics
Additional Journal Information:
Journal Volume: 37; Journal Issue: 6; Journal ID: ISSN 0740-3224
Optical Society of America (OSA)
Country of Publication:
United States

Citation Formats

Namuduri, Srikanth, Titze, Michael, Bhansali, Shekhar, and Li, Hebin. Machine learning enabled lineshape analysis in optical two-dimensional coherent spectroscopy. United States: N. p., 2020. Web. doi:10.1364/JOSAB.385195.
Namuduri, Srikanth, Titze, Michael, Bhansali, Shekhar, & Li, Hebin. Machine learning enabled lineshape analysis in optical two-dimensional coherent spectroscopy. United States. doi:
Namuduri, Srikanth, Titze, Michael, Bhansali, Shekhar, and Li, Hebin. Fri . "Machine learning enabled lineshape analysis in optical two-dimensional coherent spectroscopy". United States. doi:
title = {Machine learning enabled lineshape analysis in optical two-dimensional coherent spectroscopy},
author = {Namuduri, Srikanth and Titze, Michael and Bhansali, Shekhar and Li, Hebin},
abstractNote = {},
doi = {10.1364/JOSAB.385195},
journal = {Journal of the Optical Society of America. Part B, Optical Physics},
number = 6,
volume = 37,
place = {United States},
year = {2020},
month = {3}

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