Byungil Hwang

Prof. Byungil Hwang

Chung-Ang University, Seoul, Republic of Korea

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 May 2020 in ACS Applied Materials & Interfaces
Verified
Journal Article
Open access
BHByungil Hwang
Byungil Hwang
ALAnja Lund
Anja Lund
YTYuan Tian
Yuan Tian
SDSozan Darabi
Sozan Darabi
CMChristian Müller
Christian Müller
Electrically conducting fibers and yarns are critical components of future wearable electronic textile (e-textile) devices such as sensors, antennae, information processors, and energy harvesters. To achieve reliable wearable devices, the development of robust yarns with a high conductivity as well as excellent washability is urgently needed. In the present study, highly conductive and machine-washable silk yarns were developed utilizing an Ag nanowire and PEDOT:PSS composite coating. Ag nanowires were coated on the silk yarn via a dip-coating process, followed by coating with the conjugated polymer:polyelectrolyte complex PEDOT:PSS. The PEDOT:PSS covered the Ag nanowire layers while electrostatically binding to the silk, which significantly improved the robustness of the yarn as compared with the Ag nanowire-coated reference yarns. The fabricated conductive silk yarns had an excellent bulk conductivity of up to ~320 S/cm, which is largely retained even after several cycles of machine washing. To demonstrate that these yarns can be incorporated into e-textiles, the conductive yarns were used to construct an all-textile out-of-plane thermoelectric device, as well as a Joule heating element in a woven heating fabric.

19 November 2020 in The Analyst
Verified
Journal Article
Closed access
PDF file
Andrea BarucciAndrea Barucci
Andrea Barucci
CDCristiano D'Andrea
Cristiano D'Andrea
EFEdoardo Farnesi
Edoardo Farnesi
MBMartina Banchelli
Martina Banchelli
CAChiara Amicucci
Chiara Amicucci
PMPaolo Matteini
Paolo Matteini
We implement a machine learning classification of similar proteins by PCA mixed with multipeak fitting on SERS spectra for effective discrimination based on valid biological differences.

24 July 2017 in Nano Letters
Verified
Journal Article
Closed access
BHByungil Hwang
Byungil Hwang
WKWonsik Kim
Wonsik Kim
JKJaemin Kim
Jaemin Kim
SLSubin Lee
Subin Lee
SLSeoyoen Lim
Seoyoen Lim
SHSeung Min Han
Seung Min Han

20 March 2026 in npj Flexible Electronics
Verified
Journal Article
Open access
PDF file
TSThirumalaisamy Suryaprabha
Thirumalaisamy Suryaprabha
CCChunghyeon Choi
Chunghyeon Choi
YWYanfang Wu
Yanfang Wu
LLLiyang Liu
Liyang Liu
BHByungil Hwang
Byungil Hwang
Smart wearable and implantable biosensors enable continuous, real-time monitoring of biophysical and biochemical signals for personalized and preventive healthcare. Advances in flexible, stretchable, and biocompatible materials ensure long-term comfort and seamless body integration, while multimodal and multi-analyte sensing improves robustness. AI enhances signal processing and predictive insights, yet challenges remain in motion artifacts, energy autonomy, data privacy, and clinical interpretability. This review summarizes materials, device architectures, and AI-assisted strategies applications.

10 August 2023 in International Journal of Biological Macromolecules
Verified
Journal Article
Closed access
TSThirumalaisamy Suryaprabha
Thirumalaisamy Suryaprabha
HHHeebo Ha
Heebo Ha
BHByungil Hwang
Byungil Hwang
MSMathur Gopalakrishnan Sethuraman
Mathur Gopalakrishnan Sethuraman

7 December 2020 in ACS Applied Materials & Interfaces
Verified
Journal Article
Open access
SDSozan Darabi
Sozan Darabi
MHMichael Hummel
Michael Hummel
SRSami Rantasalo
Sami Rantasalo
MRMarja Rissanen
Marja Rissanen
IMIngrid Öberg Månsson
Ingrid Öberg Månsson
CMChristian Müller
Christian Müller
The emergence of “green” electronics is a response to the pressing global situation where conventional electronics contribute to resource depletion and a global build-up of waste. For wearable applications, green electronic textile (e-textile) materials present an opportunity to unobtrusively incorporate sensing, energy harvesting, and other functionality into the clothes we wear. Here, we demonstrate electrically conducting wood-based yarns produced by a roll-to-roll coating process with an ink based on the biocompatible polymer:polyelectrolyte complex poly(3,4-ethylenedioxythiophene):poly(styrene sulfonate) (PEDOT:PSS). The developed e-textile yarns display a, for cellulose yarns, record-high bulk conductivity of 36 Scm–1, which could be further increased to 181 Scm–1 by adding silver nanowires. The PEDOT:PSS-coated yarn could be machine washed at least five times without loss in conductivity. We demonstrate the electrochemical functionality of the yarn through incorporation into organic electrochemical transistors (OECTs). Moreover, by using a household sewing machine, we have manufactured an out-of-plane thermoelectric textile device, which can produce 0.2 μW at a temperature gradient of 37 K.