Eunhye Baek

Eunhye Baek
Tsinghua University | TH · Tsinghua Laboratory of Brain and Intelligence

Doctor of Engineering

About

13
Publications
5,174
Reads
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361
Citations
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
Tsinghua University
Position
  • PostDoc Position
January 2019 - June 2019
Technische Universität Dresden
Position
  • Researcher
January 2011 - February 2013
Pohang University of Science and Technology
Position
  • Master's Student
Education
October 2013 - December 2018
Technische Universität Dresden
Field of study
  • Materials Science
January 2011 - February 2013
Pohang University of Science and Technology
Field of study
  • Electrical Engineering
March 2007 - February 2011
Pohang University of Science and Technology
Field of study
  • Electrical Engineering

Publications

Publications (13)
Article
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...
Article
Full-text available
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...
Article
Full-text available
[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...
Article
Full-text available
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...
Preprint
Full-text available
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...
Article
Full-text available
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Conference Paper
Full-text available
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...
Article
Full-text available
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...
Chapter
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...
Conference Paper
Full-text available
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...
Article
Full-text available
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...
Article
Full-text available
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...

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