Show source-provided references
6. Trentzsch, M.; Flachowsky, S.; Richter, R.; Paul, J.; Reimer, B.; Utess, D.; Jansen, S.; Mulaosmanovic, H.; Müller, S.; Slesazeck, S.; Ocker, J.; Noack, M.; Müller, J.; Polakowski, P.; Schreiter, J.; Beyer, S.; Mikolajick, T.; Rice, B. A 28nm HKMG Super Low Power Embedded NVM Technology Based on Ferroelectric FETs. IEEE International Electron Devices Meeting (IEDM); IEEE, 2016; p 11–5.
10.1109/IEDM.2016.7838397 ↗7. Dünkel, S.; Trentzsch, M.; Richter, R.; Moll, P.; Fuchs, C.; Gehring, O.; Majer, M.; Wittek, S.; Müller, B.; Melde, T.; Mulaosmanovic, H.; Slesazeck, S.; Müller, S.; Ocker, J.; Noack, M.; Löhr, D.A.; Polakowski, P.; Müller, J.; Mikolajick, T.; Höntschel, J.; Rice, B.; Pellerin, J.; Beyer, S. A FeFET Based Super-Low-Power Ultra-Fast Embedded NVM Technology for 22nm FDSOI and Beyond. IEEE International Electron Devices Meeting (IEDM); IEEE, 2017; p 19–7.
10.1109/IEDM.2017.8268425 ↗8. Bae, H.; Nam, S. G.; Moon, T.; Lee, Y.; Jo, S.; Choe, D.H.; Kim, S.; Lee, K.H.; Heo, J. Sub-ns Polarization Switching in 25nm FE FinFET Toward Post CPU and Spatial-Energetic Mapping of Traps for Enhanced Endurance. IEEE International Electron Devices Meeting (IEDM); IEEE, 2020; p 31–3.
10.1109/IEDM13553.2020.9372076 ↗10. Liao, C.Y.; Hsiang, K.Y.; Lou, Z.F.; Tseng, H.C.; Lin, C.Y.; Li, Z.X.; Hsieh, F.C.; Wang, C.C.; Chang, F.S.; Ray, W.C.; Tseng, Y.Y.; Chang, S. T.; Chen, T.C.; Lee, M. H. Endurance > rbin1011Cycling of 3D GAA Nanosheet Ferroelectric FET with Stacked HfZrO2 to Homogenize Corner Field Toward Mitigate Dead Zone for High-Density eNVM. IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits); IEEE, 2022; pp 1–2.
10.1109/VLSITechnologyandCir46769.2022.9830345 ↗14. Xu, Y.; Zhao, Z.; Xiao, Yi.; Yu, T.; Mulaosmanovic, H.; Kleimaier, D.; Duenkel, S.; Beyer, S.; Gong, X.; Joshi, R.; Hu, X. S.; Wen, S.; Rios, A. S.; Lekkala, K.; Itti, L.; Homan, E.; George, S.; Narayanan, V.; Ni, K. Ferroelectric FET Based Context-Switching FPGA Enabling Dynamic Reconfiguration for Adaptive Deep Learning Machines. 2022, arXiv preprint arXiv:2212.00089.
18. Jiang, Z.; Xiao, Yi.; Chatterjee, S.; Mulaosmanovic, H.; Duenkel, S.; Soss, S.; Beyer, S.; Joshi, R.; Chauhan, Y. S.; Amrouch, H.; Narayanan, V.; Ni, K. Asymmetric Double-Gate Ferroelectric FET to Decouple the Tradeoff Between Thickness Scaling and Memory Window. IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits); IEEE, 2022; pp 395–396.
10.1109/VLSITechnologyandCir46769.2022.9830172 ↗22. Ni, K.; Thomann, S.; Prakash, Om.; Zhao, Z.; Deng, S.; Amrouch, H. On the Channel Percolation in Ferroelectric FET Towards Proper Analog States Engineering. IEEE International Electron Devices Meeting (IEDM); IEEE, 2021; p 15–3.
10.1109/IEDM19574.2021.9720631 ↗24. Deng, S.; Yin, G.; Chakraborty, W.; Dutta, S.; Datta, S.; Li, X.; Ni, K. A Comprehensive Model for Ferroelectric FET Capturing the Key Behaviors: Scalability, Variation, Stochasticity, and Accumulation. IEEE Symposium on VLSI Technology; IEEE, 2020; pp 1–2.
10.1109/VLSITechnology18217.2020.9265014 ↗