Agarwal, Sapan

A non-volatile organic electrochemical device as a low-voltage artificial synapse for neuromorphic computing.

van de Burgt, Y., Lubberman, E., Fuller, E. J., Keene, S. T., Faria, G. C., Agarwal, S., Marinella, M. J., Alec Talin, A., & Salleo, A. (2017) · Nature Materials

Advanced Memory and Neural ComputingConducting polymers and applications

Cited by 1,872

Parallel programming of an ionic floating-gate memory array for scalable neuromorphic computing

Fuller, E. J., Keene, S. T., Melianas, A., Wang, Z., Agarwal, S., Li, Y., Tuchman, Y., James, C. D., Marinella, M. J., Yang, J. J., et al. (2019) · Science

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 756

Resistive memory device requirements for a neural algorithm accelerator

Agarwal, S., Plimpton, S. J., Hughart, D. R., Hsia, A. H., Richter, I., Cox, J. A., James, C. D., & Marinella, M. J. (2016) · 2016 International Joint Conference on Neural Networks (IJCNN)

Advanced Memory and Neural ComputingNeural Networks and Applications

Cited by 213

Multiscale Co-Design Analysis of Energy, Latency, Area, and Accuracy of a ReRAM Analog Neural Training Accelerator

Marinella, M. J., Agarwal, S., Hsia, A., Richter, I., Jacobs-Gedrim, R., Niroula, J., Plimpton, S. J., Ipek, E., & James, C. D. (2018) · IEEE Journal on Emerging and Selected Topics in Circuits and Systems

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

Cited by 183

On the Accuracy of Analog Neural Network Inference Accelerators

Xiao, T. P., Feinberg, B., Bennett, C. H., Prabhakar, V., Saxena, P., Agrawal, V., Agarwal, S., & Marinella, M. J. (2022) · IEEE Circuits and Systems Magazine

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

Cited by 76