Liu, Samuel, Xiao, T. Patrick, Cui, Can, Incorvia, Jean Anne, Bennett, Christopher H., and Marinella, Matthew J. A domain wall-magnetic tunnel junction artificial synapse with notched geometry for accurate and efficient training of deep neural networks. Retrieved from https://par.nsf.gov/biblio/10318467. Applied Physics Letters 118.20 Web. doi:10.1063/5.0046032.

Liu, Samuel, Xiao, T. Patrick, Cui, Can, Incorvia, Jean Anne, Bennett, Christopher H., & Marinella, Matthew J. A domain wall-magnetic tunnel junction artificial synapse with notched geometry for accurate and efficient training of deep neural networks. Applied Physics Letters, 118 (20). Retrieved from https://par.nsf.gov/biblio/10318467. https://doi.org/10.1063/5.0046032

Liu, Samuel, Xiao, T. Patrick, Cui, Can, Incorvia, Jean Anne, Bennett, Christopher H., and Marinella, Matthew J. "A domain wall-magnetic tunnel junction artificial synapse with notched geometry for accurate and efficient training of deep neural networks". Applied Physics Letters 118 (20). Country unknown/Code not available. https://doi.org/10.1063/5.0046032. https://par.nsf.gov/biblio/10318467.

@article{osti_10318467,
place = {Country unknown/Code not available}, title = {A domain wall-magnetic tunnel junction artificial synapse with notched geometry for accurate and efficient training of deep neural networks}, url = {https://par.nsf.gov/biblio/10318467}, DOI = {10.1063/5.0046032}, abstractNote = {}, journal = {Applied Physics Letters}, volume = {118}, number = {20}, author = {Liu, Samuel and Xiao, T. Patrick and Cui, Can and Incorvia, Jean Anne and Bennett, Christopher H. and Marinella, Matthew J.}, }