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Quantifying the Impact of Parametric Uncertainty on Automatic Mechanism Generation for CO 2 Hydrogenation on Ni(111)

Journal Article · · JACS Au
 [1];  [2];  [3];  [4];  [4];  [5];  [5];  [3]
  1. Institute of Chemical and Electrochemical Process Engineering, Clausthal University of Technology, Clausthal-Zellerfeld 38678, Germany, School of Engineering, Brown University, Providence, Rhode Island 02912, United States
  2. Sandia National Laboratories, Livermore, California 94550, United States
  3. School of Engineering, Brown University, Providence, Rhode Island 02912, United States
  4. Department of Chemical Engineering, Northeastern University, Boston, Massachusetts 02115, United States
  5. Institute of Chemical and Electrochemical Process Engineering, Clausthal University of Technology, Clausthal-Zellerfeld 38678, Germany
Not Available
Research Organization:
Brown Univ., Providence, RI (United States); Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
German Research Foundation (DFG); USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC), Basic Energy Sciences (BES)
Grant/Contract Number:
NA0003525
OSTI ID:
1813644
Alternate ID(s):
OSTI ID: 1827883
OSTI ID: 1829029
OSTI ID: 1877138
Report Number(s):
SAND2022-8642J
Journal Information:
JACS Au, Journal Name: JACS Au Journal Issue: 10 Vol. 1; ISSN 2691-3704
Publisher:
American Chemical SocietyCopyright Statement
Country of Publication:
United States
Language:
English

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