Wilson, Nathan, Willhelm, Daniel, Qian, Xiaoning, Arróyave, Raymundo, and Qian, Xiaofeng. Batch active learning for accelerating the development of interatomic potentials. Retrieved from https://par.nsf.gov/biblio/10347282. Computational Materials Science 208.C Web. doi:10.1016/j.commatsci.2022.111330.

Wilson, Nathan, Willhelm, Daniel, Qian, Xiaoning, Arróyave, Raymundo, & Qian, Xiaofeng. Batch active learning for accelerating the development of interatomic potentials. Computational Materials Science, 208 (C). Retrieved from https://par.nsf.gov/biblio/10347282. https://doi.org/10.1016/j.commatsci.2022.111330

Wilson, Nathan, Willhelm, Daniel, Qian, Xiaoning, Arróyave, Raymundo, and Qian, Xiaofeng. "Batch active learning for accelerating the development of interatomic potentials". Computational Materials Science 208 (C). Country unknown/Code not available. https://doi.org/10.1016/j.commatsci.2022.111330. https://par.nsf.gov/biblio/10347282.

@article{osti_10347282,
place = {Country unknown/Code not available}, title = {Batch active learning for accelerating the development of interatomic potentials}, url = {https://par.nsf.gov/biblio/10347282}, DOI = {10.1016/j.commatsci.2022.111330}, abstractNote = {}, journal = {Computational Materials Science}, volume = {208}, number = {C}, author = {Wilson, Nathan and Willhelm, Daniel and Qian, Xiaoning and Arróyave, Raymundo and Qian, Xiaofeng}, }