Eunhye BaekTsinghua University | TH · Tsinghua Laboratory of Brain and Intelligence
Eunhye Baek
Doctor of Engineering
About
13
Publications
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Introduction
Dr. Eunhye Baek is a research scientist at the Center for Complex Network Intelligence (CCNI), Tsinghua Laboratory of Brain and Intelligence (THBI), Beijing. She is exploring brain-inspired neuromorphic intelligent systems.
She did her postdoc at the Center for Brain-inspired Computing Research at Tsinghua University. She studied Materials Science for a doctoral degree at TU Dresden and studied Electronics and Electrical Engineering at POSTECH for BS and MS degrees.
Additional affiliations
August 2019 - present
January 2019 - June 2019
January 2011 - February 2013
Education
October 2013 - December 2018
January 2011 - February 2013
March 2007 - February 2011
Publications
Publications (13)
We report the first observation of negative photoconductance (NPC) in n- and p-doped Si nanowire field-effect transistors (FETs) and demonstrate the strong influence of doping concentrations on the nonconventional optical switching of the devices. Furthermore, we show that the NPC of Si nanowire FETs is dependent on the wavelength of visible light...
In the pool of nanostructured materials, silicon nanostructures are known as conventionally used building blocks of commercially available electronic devices. Their application areas span from miniaturized elements of devices and circuits to ultrasensitive biosensors for diagnostics. In this Review, the current trends in the developments of silicon...
[Full text: https://rdcu.be/b4ovR] Neuromorphic architectures merge learning and memory functions within a single unit cell and in a neuron-like fashion. Research in the field has been mainly focused on the plasticity of artificial synapses. However, the intrinsic plasticity of the neuronal membrane is also important in the implementation of neurom...
Neuromorphic technologies typically employ a point neuron model, neglecting the spatiotemporal nature of neuronal computation. Dendritic morphology and synaptic organization are structurally tailored for spatiotemporal information processing, such as visual perception. Here we report a neuromorphic computational model that integrates synaptic organ...
Most neuromorphic technologies use a point-neuron model, missing the spatiotemporal nature of neuronal computation performed in dendrites. Dendritic morphology and synaptic organization are structurally tailored for spatiotemporal information processing, enabling various computations like visual perception. Here, we report on a neuromorphic computa...
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
We propose a hybrid device substituting the software synapse in artificial neural networks with an individual hardware transistor unit. The unit merges a silicon nanowire semiconductor channel with a metal-ion doped solgel film as hybrid gate of the transistor. The film, amorphous
and transparent, shows a memristive property due to ion redistributi...
A novel photosensitive hybrid field‐effect transistor (FET) which consists of a multiple‐shell of organic porphyrin film/oxide/silicon nanowires is presented. Due to the oxide shell around the nanowires, photoswitching of the current in the hybrid nanodevices is guided by the electric field effect, induced by charge redistribution within the organi...
Synergy between biochemistry, medicine, and material science during last decade has led to a tremendous scientific progress in the fields of biodetection and nanomedicine. This tight interaction led to the emergence of a new class of bioinspired systems. These systems are based upon utilizing nanomaterials such as nanoparticles, carbon nanotubes, o...
The aim of this work is to analyze the electric field and electric potential distributions in undoped silicon nanowire Schottky barrier field-effect transistors (SB-FETs) with a back-gate configuration covered by chemical compound for sensor application. In this work we model porphyrin-coated silicon nanowire FETs (SiNW-FETs) and examine how the po...
This paper describes a walking-age pattern analysis and identification system using a three-dimensional accelerometer and a gyroscope. First, a walking pattern database from 79 volunteers of ages ranging from 10 to 83 years, is constructed. Second, using feature extraction and clustering, three distinct walking-age groups: children of ages in the 1...
We have fabricated Si nanowire (SiNW) based ion-sensitive field effect transistors (ISFETs) for biosensing applications. The ability to prepare a large number of sensors on a wafer, the use of standard silicon microfabrication techniques resulting in cost savings, and potential high sensitivity are significant advantages in favor of nanoscale SiNW...