APA (7th ed.) Citation

Gumber, S., Alzate-Vargas, L., Nebgen, B. T., van Veelen, A., Kadvani, S., Gibson, T., & Messerly, R. (2025). Going beyond density functional theory accuracy: Leveraging experimental data to refine pre-trained machine learning interatomic potentials.

Chicago Style (17th ed.) Citation

Gumber, Shriya, Lorena Alzate-Vargas, Benjamin T. Nebgen, Arjen van Veelen, Smit Kadvani, Tammie Gibson, and Richard Messerly. Going Beyond Density Functional Theory Accuracy: Leveraging Experimental Data to Refine Pre-trained Machine Learning Interatomic Potentials. 2025.

MLA (9th ed.) Citation

Gumber, Shriya, et al. Going Beyond Density Functional Theory Accuracy: Leveraging Experimental Data to Refine Pre-trained Machine Learning Interatomic Potentials. 2025.