Publications 2023
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RC-309 del Alamo, J. A., “Analog AI Accelerators.” Invited Talk at 37th Conference on Neural Information Processing Systems, Machine Learning with New Compute Paradigms Workshop, New Orleans, LA, December 10-16, 2023. Unpublished. (Video)
RC-308 Kim, T., E. R. Borujeny, I. Sardinero-Meiras, J. Grajal, K. C. Cadien, D. A. Antoniadis and J. A. del Alamo, “AC Impedance Characteristics of Ferroelectric Hf0.5Zr0.5O2: from 1 kHz to 10 GHz.” 2023 IEEE International Electron Devices Meeting (IEDM 2023), San Francisco, CA, December 9-13, 2023, paper 11-5. (DOI) (Slides)
RC-307 Onen, M., J. Li, B. Yildiz and J. A. del Alamo, “Phosphosilicate Glass-Based Nanosecond Protonic Programmable Resistors for Analog Deep Learning.” CMOS-Compatible Nanosecond Protonic Programmable Resistors for Analog Deep Learning.” Invited Talk at 7th IEEE Electron Devices Technology Manufacturing Conference (EDTM 2023), Seoul, Korea, March 7-10, 2023. (DOI) (Slides)
RJ-224 Song, M.-K., J.-H. Kang, X. Zhang, W. Ji, A. Ascoli, I. Messaris, A. S. Demirkol, B. Dong, S. Aggarwal, W. Wan, S.-M. Hong, S. G. Cardwell, I. Boybat, J.-s. Seo, J.-S. Lee, M. Lanza, H. Yeon, M. Onen, J. Li, B. Yildiz, J. A. del Alamo, S. Kim, S. Choi, G. Milano, C. Ricciardi, L. Alff, Y. Chai, Z. Wang, H. Bhaskaran, M. C. Hersam, D. Strukov, H.-S. P. Wong, I. Valov, B. Gao, H. Wu, R. Tetzlaff, A. Sebastian, W. Lu, L. Chua, J. J. Yang, and J. Kim, "Recent Advances and Future Prospects for Memristive Materials, Devices, and Systems.” Review Article in ACS Nano, 17, 11994-12039, 2023. (DOI)
RJ-223 Huang, M., M. Schwacke, M. Onen, J. A. del Alamo, J. Li, and B. Yildiz, "Electrochemical Ionic Synapses: Progress and Perspectives.” Advanced Materials, 2205169, 2023. (DOI)