%0 Conference Paper %1 conf/esscirc/LancasterDCMS22 %A Lancaster, Suzanne %A Duong, Quang T. %A Covi, Erika %A Mikolajick, Thomas %A Slesazeck, Stefan %B ESSCIRC %D 2022 %I IEEE %K dblp %P 137-140 %T Improvement of FTJ on-current by work function engineering for massive parallel neuromorphic computing. %U http://dblp.uni-trier.de/db/conf/esscirc/esscirc2022.html#LancasterDCMS22 %@ 978-1-6654-8494-7

@inproceedings{conf/esscirc/LancasterDCMS22, added-at = {2024-02-05T00:00:00.000+0100}, author = {Lancaster, Suzanne and Duong, Quang T. and Covi, Erika and Mikolajick, Thomas and Slesazeck, Stefan}, biburl = {https://www.bibsonomy.org/bibtex/23753400ddf30427a0e8995879defb429/dblp}, booktitle = {ESSCIRC}, crossref = {conf/esscirc/2022}, ee = {https://doi.org/10.1109/ESSCIRC55480.2022.9911392}, interhash = {72aaa282093e98e928dcdbb8a3dd2ed9}, intrahash = {3753400ddf30427a0e8995879defb429}, isbn = {978-1-6654-8494-7}, keywords = {dblp}, pages = {137-140}, publisher = {IEEE}, timestamp = {2024-04-09T17:25:17.000+0200}, title = {Improvement of FTJ on-current by work function engineering for massive parallel neuromorphic computing.}, url = {http://dblp.uni-trier.de/db/conf/esscirc/esscirc2022.html#LancasterDCMS22}, year = 2022 }