Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning
Journal Article
·
· Physical Review Letters
- LCF
- Research Organization:
- Argonne National Lab. (ANL), Argonne, IL (United States)
- Sponsoring Organization:
- SC OFFICE OF BASIC ENERGY SCIENCES
- DOE Contract Number:
- DE-AC02-06CH11357
- OSTI ID:
- 1121027
- Report Number(s):
- ANL/LCF/JA-71786
- Journal Information:
- Physical Review Letters, Vol. 108, Issue 5 ; 2012
- Country of Publication:
- United States
- Language:
- ENGLISH
Similar Records
Comment on “Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning”
Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning
Comment on %22Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning%22.
Journal Article
·
Fri Aug 03 00:00:00 EDT 2012
· Physical Review Letters
·
OSTI ID:1121027
Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning
Journal Article
·
Tue Jan 31 00:00:00 EST 2012
· Physical Review Letters
·
OSTI ID:1121027
+1 more
Comment on %22Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning%22.
Journal Article
·
Wed Feb 01 00:00:00 EST 2012
· Physical Review Letters
·
OSTI ID:1121027