Alimkhanuly, B., Sohn, J., Chang, I., & Lee, S. (2021). Graphene-based 3D XNOR-VRRAM with ternary precision for neuromorphic computing. NPJ 2D materials and applications, 5(1), 1-10. https://doi.org/10.1038/s41699-021-00236-x
Chicago Style (17th ed.) CitationAlimkhanuly, Batyrbek, Joon Sohn, Ik-Joon Chang, and Seunghyun Lee. "Graphene-based 3D XNOR-VRRAM with Ternary Precision for Neuromorphic Computing." NPJ 2D Materials and Applications 5, no. 1 (2021): 1-10. https://doi.org/10.1038/s41699-021-00236-x.
MLA (9th ed.) CitationAlimkhanuly, Batyrbek, et al. "Graphene-based 3D XNOR-VRRAM with Ternary Precision for Neuromorphic Computing." NPJ 2D Materials and Applications, vol. 5, no. 1, 2021, pp. 1-10, https://doi.org/10.1038/s41699-021-00236-x.
Warning: These citations may not always be 100% accurate.