A Machine Learning Approach for MP2 Correlation Energies and Its Application to Organic Compounds

Research article (Journal of Chemical Theory and Computation, 2021) · cited 18× · AI/ML
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A Machine Learning Approach for MP2 Correlation Energies and Its Application to Organic Compounds

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A Machine Learning Approach for MP2 Correlation Energies and Its Application to Organic Compounds is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A Machine Learning Approach for MP2 Correlation Energies and Its Application to Organic Compounds. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-machine-learning-approach-for-mp2-correlation-energies-and-its-application-to-organic-compounds
MLA “A Machine Learning Approach for MP2 Correlation Energies and Its Application to Organic Compounds.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-machine-learning-approach-for-mp2-correlation-energies-and-its-application-to-organic-compounds.
BibTeX @misc{4ortxyz_a-machine-learning-approach-for-mp2-correlation-energies-and-its-application-to-organic-compounds_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Machine Learning Approach for MP2 Correlation Energies and Its Application to Organic Compounds}}, year = {2026}, url = {https://4ort.xyz/entity/a-machine-learning-approach-for-mp2-correlation-energies-and-its-application-to-organic-compounds}, note = {Accessed: 2026-05-24}}
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