activity
20072019
most citedMicroscopic Current Dynamics in Nanoscale Junctions

72 citations · 176 across the 9 of their papers we have counts for

collaborators

9 papers

quant-ph2019★ 7 cited

A Method to Calculate Correlation for Density Functional Theory on a Quantum Processor

Ryan Hatcher, Jorge A. Kittl, Christopher Bowen

An extension of the Variational Quantum Eigensolver (VQE) method is presented where a quantum computer generates an accurate exchange-correlation potential for a Density Functional…

cs.ET2018

High-Accuracy Inference in Neuromorphic Circuits using Hardware-Aware Training

Borna Obradovic, Titash Rakshit, Ryan Hatcher +2

Neuromorphic Multiply-And-Accumulate (MAC) circuits utilizing synaptic weight elements based on SRAM or novel Non-Volatile Memories (NVMs) provide a promising approach for highly e…

cond-mat.mes-hall2018★ 49 cited

Modeling Transient Negative Capacitance in Steep-Slope FeFETs

Borna Obradovic, Titash Rakshit, Ryan Hatcher +2

We report on measurements and modeling of FE HfZrO/SiO2 Ferroelectric-Dielectric (FE-DE) FETs which indicate that many of the phenomena attributed to Negative Capacitance can be ex…

cond-mat.mes-hall2018★ 36 cited

On the Validity and Applicability of Models of Negative Capacitance and Implications for MOS Applications

J. A. Kittl, B. Obradovic, D. Reddy +3

The observation of room temperature sub-60 mV/dec subthreshold slope (SS) in MOSFETs with ferroelectric (FE) layers in the gate stacks or in series with the gate has attracted much…

cond-mat.mes-hall2018★ 4 cited

Modeling of Negative Capacitance of Ferroelectric Capacitors as a Non-Quasi Static Effect

Borna Obradovic, Titash Rakshit, Ryan Hatcher +2

Pulse-based studies of ferroelectric capacitor systems have been used by several groups to experimentally probe the mechanisms of apparent negative capacitance. In this paper, the…

cs.ET2017

A Multi-Bit Neuromorphic Weight Cell using Ferroelectric FETs, suitable for SoC Integration

Borna Obradovic, Titash Rakshit, Ryan Hatcher +4

A multi-bit digital weight cell for high-performance, inference-only non-GPU-like neuromorphic accelerators is presented. The cell is designed with simplicity of peripheral circuit…