ExLibris header image
SFX Logo
Title: A Machine Learning Approach for MP2 Correlation Energies and Its Application to Organic Compounds
Source:

Journal of Chemical Theory and Computation [1549-9618] Han, Ruocheng yr:2021


Collapse list of basic services Basic
Full text
Full text available via American Chemical Society Journals
GO
Document delivery
Request document via Library/Bibliothek GO
Users interested in this article also expressed an interest in the following:
1. "Machine learned features from density of states for accurate adsorption energy prediction." Nature communications. 12.1: 88-. Link to SFX for this item
2. "Accurate Reduced-Cost CCSD(T) Energies: Parallel Implementation, Benchmarks, and Large-Scale Applications." Journal of chemical theory and computation : JCTC. 17.2: -878. Link to SFX for this item
3. Horwood, J. "Molecular Design in Synthetically Accessible Chemical Space via Deep Reinforcement Learning." ACS omega. 5.51: 32984-32994. Link to SFX for this item
Select All Clear All

Expand list of advanced services Advanced