High-resolution patterning using two modes of electrohydrodynamic jet: drop on demand and near-field electrospinning

TH Phung, S Oh, KS Kwon - JoVE (Journal of Visualized Experiments), 2018 - jove.com
Electrohydrodynamic (EHD) jet printing has drawn attention in various fields because it can
be used as a high-resolution and low-cost direct patterning tool. EHD printing uses a fluidic …

Electrohydrodynamic printing for demanding devices: A review of processing and applications

C Cong, X Li, W Xiao, J Li, M Jin, SH Kim… - Nanotechnology …, 2022 - degruyter.com
Electrohydrodynamic (EHD) printing is a cutting-edge micro/nano manufacturing technology
for flexible substrates. Generally, EHD printing uses an electric field to drive droplet jet …

Electrohydrodynamic printing of sub-microscale fibrous architectures with improved cell adhesion capacity

B Zhang, J He, Q Lei, D Li - Virtual and Physical Prototyping, 2020 - Taylor & Francis
ABSTRACT A solution-based electrohydrodynamic (EHD) printing strategy was developed
to fabricate sub-microscale biopolymeric fibres to mimic the tiny architectures of native …

Exploring optimal water splitting bifunctional alloy catalyst by pareto active learning

M Kim, Y Kim, MY Ha, E Shin, SJ Kwak… - Advanced …, 2023 - Wiley Online Library
Abstract Design of bifunctional multimetallic alloy catalysts, which are one of the most
promising candidates for water splitting, is a significant issue for the efficient production of …

Machine learning in Directed Energy Deposition (DED) additive manufacturing: A state-of-the-art review

IZ Era, MA Farahani, T Wuest, Z Liu - Manufacturing Letters, 2023 - Elsevier
Abstract Directed Energy Deposition (DED) has become very popular for repair and rapid
prototyping in metal manufacturing industries. However, as an anisotropic and defect-prone …

Accurate and efficient machine learning models for predicting hydrogen evolution reaction catalysts based on structural and electronic feature engineering in alloys

J Zhang, Y Wang, X Zhou, C Zhong, K Zhang, J Liu… - Nanoscale, 2023 - pubs.rsc.org
Predictive materials design of high-performance alloy electrocatalysts is a grand challenge
in hydrogen production via water electrolysis. The vast combinatorial space of element …

Polycaprolactone scaffolds fabricated with an advanced electrohydrodynamic direct-printing method for bone tissue regeneration

SH Ahn, HJ Lee, GH Kim - Biomacromolecules, 2011 - ACS Publications
Electrohydrodynamic (EHD) direct writing has been used in diverse microelectromechanical
systems and various supplemental methods for biotechnology and electronics. In this work …

Unveiling the potential of melt electrowriting in regenerative dental medicine

A Daghrery, IJ de Souza Araújo, M Castilho, J Malda… - Acta biomaterialia, 2023 - Elsevier
For nearly three decades, tissue engineering strategies have been leveraged to devise
effective therapeutics for dental, oral, and craniofacial (DOC) regenerative medicine and …

A universal machine learning framework for electrocatalyst innovation: a case study of discovering alloys for hydrogen evolution reaction

L Chen, Y Tian, X Hu, S Yao, Z Lu… - Advanced Functional …, 2022 - Wiley Online Library
Massive efforts have been made to develop efficient electrocatalysts for green hydrogen
production. The introduction of machine learning (ML) has brought new opportunities to the …

A comprehensive review on fabrication of ultra small micro tools via electrical discharge machining-based methods

Y Sun, L Jin, M Liu, Y Gong, X Wen, G Yin… - The International Journal …, 2022 - Springer
At present, the production of micro parts and components with characteristic sizes ranging
from micron to millimeter mainly relies on micro machining technology, but the dimensional …