Work

Predicting Hydrocarbon Strain Energy via a Group Equivalent Machine Learning Approach

Year: 2024

Type: article

Source: The Journal of Physical Chemistry A

DOI: 10.1021/acs.jpca.4c03867

Authors: Jesse C. Hearn, Betsy M. Rice, Brian C. Barnes, Peter W. Chung

Institutions: University of Maryland, College Park, DEVCOM Army Research Laboratory, United States Army Combat Capabilities Development Command

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: closed

Funder: Army Research Laboratory

Award: G2071422347

OpenAlex ID: W4401881822

FWCI: 0.189

Cites: 27

Cited by: 2

Related to: 10