Chen, Pai-Yu

SiGe epitaxial memory for neuromorphic computing with reproducible high performance based on engineered dislocations

Choi, S., Tan, S. H., Li, Z., Kim, Y., Choi, C., Chen, P.-Y., Yeon, H., Yu, S., & Kim, J. (2018) · Nature Materials

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 690

Ferroelectric FET analog synapse for acceleration of deep neural network training

Jerry, M., Chen, P.-Y., Zhang, J., Sharma, P., Ni, K., Yu, S., & Datta, S. (2017) · 2017 IEEE International Electron Devices Meeting (IEDM)

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 599

A 65nm 4Kb algorithm-dependent computing-in-memory SRAM unit-macro with 2.3ns and 55.8TOPS/W fully parallel product-sum operation for binary DNN edge processors

Khwa, W.-S., Chen, J.-J., Li, J.-F., Si, X., Yang, E.-Y., Sun, X., Liu, R., Chen, P.-Y., Li, Q., Yu, S., et al. (2018) · 2018 IEEE International Solid - State Circuits Conference - (ISSCC)

Advanced Memory and Neural ComputingLow-power high-performance VLSI design

Cited by 260

Binary neural network with 16 Mb RRAM macro chip for classification and online training

Yu, S., Li, Z., Chen, P.-Y., Wu, H., Gao, B., Wang, D., Wu, W., & Qian, H. (2016) · 2016 IEEE International Electron Devices Meeting (IEDM)

Advanced Memory and Neural ComputingAdvanced Neural Network Applications

Cited by 219

Design of Ternary Neural Network With 3-D Vertical RRAM Array

Li, Z., Chen, P.-Y., Xu, H., & Yu, S. (2017) · IEEE Transactions on Electron Devices

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 70