skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Machine Learning Optimal Effective Hamiltonians for Excited State Molecular Systems

Authors:
ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]
  1. Los Alamos National Laboratory
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE Laboratory Directed Research and Development (LDRD) Program
OSTI Identifier:
1423992
Report Number(s):
LA-UR-18-21802
DOE Contract Number:  
AC52-06NA25396
Resource Type:
Conference
Resource Relation:
Conference: March APS ; 2018-03-05 - 2018-03-09 ; Los Angeles, California, United States
Country of Publication:
United States
Language:
English

Citation Formats

Nebgen, Benjamin Tyler, Lubbers, Nicholas Edward, Lokhov, Andrey, Barros, Kipton Marcos, and Tretiak, Sergei. Machine Learning Optimal Effective Hamiltonians for Excited State Molecular Systems. United States: N. p., 2018. Web.
Nebgen, Benjamin Tyler, Lubbers, Nicholas Edward, Lokhov, Andrey, Barros, Kipton Marcos, & Tretiak, Sergei. Machine Learning Optimal Effective Hamiltonians for Excited State Molecular Systems. United States.
Nebgen, Benjamin Tyler, Lubbers, Nicholas Edward, Lokhov, Andrey, Barros, Kipton Marcos, and Tretiak, Sergei. Tue . "Machine Learning Optimal Effective Hamiltonians for Excited State Molecular Systems". United States. doi:. https://www.osti.gov/servlets/purl/1423992.
@article{osti_1423992,
title = {Machine Learning Optimal Effective Hamiltonians for Excited State Molecular Systems},
author = {Nebgen, Benjamin Tyler and Lubbers, Nicholas Edward and Lokhov, Andrey and Barros, Kipton Marcos and Tretiak, Sergei},
abstractNote = {},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Mar 06 00:00:00 EST 2018},
month = {Tue Mar 06 00:00:00 EST 2018}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

Save / Share: