Publications (5)
A simple and controlled single electron transistor based on doping modulation in silicon nanowires
M. Hofheinz, X. Jehl, M. Sanquer +3
A simple and highly reproducible single electron transistor (SET) has been fabricated using gated silicon nanowires. The structure is a metal-oxide-semiconductor field-effect trans…
Background charges and quantum effects in quantum dots transport spectroscopy
M. Pierre, M. Hofheinz, X. Jehl +4
We extend a simple model of a charge trap coupled to a single-electron box to energy ranges and parameters such that it gives new insights and predictions readily observable in man…
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…
Hardware calibrated learning to compensate heterogeneity in analog RRAM-based Spiking Neural Networks
Filippo Moro, E. Esmanhotto, T. Hirtzlin +10
Spiking Neural Networks (SNNs) can unleash the full power of analog Resistive Random Access Memories (RRAMs) based circuits for low power signal processing. Their inherent computat…
Individual charge traps in silicon nanowires: Measurements of location, spin and occupation number by Coulomb blockade spectroscopy
M. Hofheinz, X. Jehl, M. Sanquer +3
We study anomalies in the Coulomb blockade spectrum of a quantum dot formed in a silicon nanowire. These anomalies are attributed to electrostatic interaction with charge traps in…