APA (7th ed.) Citation

J, A., KT, B., & J, T. (2021). Entropy-based active learning of graph neural network surrogate models for materials properties. The Journal of chemical physics, 155(17), 174116. https://doi.org/10.1063/5.0065694

Chicago Style (17th ed.) Citation

J, Allotey, Butler KT, and Thiyagalingam J. "Entropy-based Active Learning of Graph Neural Network Surrogate Models for Materials Properties." The Journal of Chemical Physics 155, no. 17 (2021): 174116. https://doi.org/10.1063/5.0065694.

MLA (9th ed.) Citation

J, Allotey, et al. "Entropy-based Active Learning of Graph Neural Network Surrogate Models for Materials Properties." The Journal of Chemical Physics, vol. 155, no. 17, 2021, p. 174116, https://doi.org/10.1063/5.0065694.