Koh, Dooyong, Rogers, Ethan G, Gupte, Kshemal K, Wang, Qiuyuan, McGoldrick, Brooke C, Lee, Jungsoo, Baldo, Marc A, Wang, Cheng, and Liu, Luqiao. Stochastic nanomagnets as current digitizers for efficient probabilistic machine learning. Retrieved from https://par.nsf.gov/biblio/10652676. Physical Review Applied 24.4 Web. doi:10.1103/s86j-5jcr.

Koh, Dooyong, Rogers, Ethan G, Gupte, Kshemal K, Wang, Qiuyuan, McGoldrick, Brooke C, Lee, Jungsoo, Baldo, Marc A, Wang, Cheng, & Liu, Luqiao. Stochastic nanomagnets as current digitizers for efficient probabilistic machine learning. Physical Review Applied, 24 (4). Retrieved from https://par.nsf.gov/biblio/10652676. https://doi.org/10.1103/s86j-5jcr

Koh, Dooyong, Rogers, Ethan G, Gupte, Kshemal K, Wang, Qiuyuan, McGoldrick, Brooke C, Lee, Jungsoo, Baldo, Marc A, Wang, Cheng, and Liu, Luqiao. "Stochastic nanomagnets as current digitizers for efficient probabilistic machine learning". Physical Review Applied 24 (4). Country unknown/Code not available: APS. https://doi.org/10.1103/s86j-5jcr. https://par.nsf.gov/biblio/10652676.

@article{osti_10652676,
place = {Country unknown/Code not available}, title = {Stochastic nanomagnets as current digitizers for efficient probabilistic machine learning}, url = {https://par.nsf.gov/biblio/10652676}, DOI = {10.1103/s86j-5jcr}, abstractNote = {Not Available}, journal = {Physical Review Applied}, volume = {24}, number = {4}, publisher = {APS}, author = {Koh, Dooyong and Rogers, Ethan G and Gupte, Kshemal K and Wang, Qiuyuan and McGoldrick, Brooke C and Lee, Jungsoo and Baldo, Marc A and Wang, Cheng and Liu, Luqiao}, }