activity
20102023
most citedSpin-transfer pulse switching: From the dynamic to the thermally activated regime

150 citations · 292 across the 18 of their papers we have counts for

collaborators

18 papers

cond-mat.mes-hall2023★ 1 cited

A Compact Model of Threshold Switching Devices for Efficient Circuit Simulations

Mohamad Moner Al Chawa, Daniel Bedau, Ahmet S. Demirkol +4

In this paper, we present a new compact model of threshold switching devices which is suitable for efficient circuit-level simulations. First, a macro model, based on a compact tra…

cond-mat.mtrl-sci2022

Fabrication of highly resistive NiO thin films for nanoelectronic applications

Johannes Mohr, Tyler Hennen, Daniel Bedau +3

Thin films of the prototypical charge transfer insulator NiO appear to be a promising material for novel nanoelectronic devices. The fabrication of the material is challenging howe…

cs.NE2022

A High Throughput Generative Vector Autoregression Model for Stochastic Synapses

T. Hennen, A. Elias, J. F. Nodin +4

By imitating the synaptic connectivity and plasticity of the brain, emerging electronic nanodevices offer new opportunities as the building blocks of neuromorphic systems. One chal…

physics.ins-det2021★ 6 cited

Stabilizing amplifier with a programmable load line for characterization of nanodevices with negative differential resistance

T. Hennen, E. Wichmann, R. Waser +2

Resistive switching devices and other components with negative differential resistance (NDR) are emerging as possible electronic constituents of next-generation computing architect…

cond-mat.str-el2021★ 4 cited

Lattice contraction induced by resistive switching in chromium-doped V2O3: a hallmark of Mott physics

D. Babich, J. Tranchant, C. Adda +13

Since the beginnings of the electronic age, a quest for ever faster and smaller switches has been initiated, since this element is ubiquitous and foundational in any electronic cir…

cs.NE2020★ 3 cited

Non-Volatile Memory Array Based Quantization- and Noise-Resilient LSTM Neural Networks

Wen Ma, Pi-Feng Chiu, Won Ho Choi +3

In cloud and edge computing models, it is important that compute devices at the edge be as power efficient as possible. Long short-term memory (LSTM) neural networks have been wide…