Raw Data Library
About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide
Green Science
​
​
EN
Kurumsal BaşvuruSign inGet started
​
​

About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User GuideGreen Science

Language

Kurumsal Başvuru

Sign inGet started
RDL logo

Verified research datasets. Instant access. Built for collaboration.

Navigation

About

Aims and Scope

Advisory Board Members

More

Who We Are?

Contact

Add Raw Data

User Guide

Legal

Privacy Policy

Terms of Service

Support

Got an issue? Email us directly.

Email: info@rawdatalibrary.netOpen Mail App
​
​

© 2026 Raw Data Library. All rights reserved.
PrivacyTermsContact
  1. Raw Data Library
  2. /
  3. Publications
  4. /
  5. Optically Activated 3D Thin‐Shell TiO<sub>2</sub> for Super‐Sensitive Chemoresistive Responses: Toward Visible Light Activation

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Article
en
2020

Optically Activated 3D Thin‐Shell TiO<sub>2</sub> for Super‐Sensitive Chemoresistive Responses: Toward Visible Light Activation

0 Datasets

0 Files

en
2020
Vol 8 (3)
Vol. 8
DOI: 10.1002/advs.202001883

Get instant academic access to this publication’s datasets.

Create free accountHow it works

Frequently asked questions

Is access really free for academics and students?

Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.

How is my data protected?

Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.

Can I request additional materials?

Yes, message the author after sign-up to request supplementary files or replication code.

Advance your research today

Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.

Get free academic accessLearn more
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
Access Research Data

Join our academic network to download verified datasets and collaborate with researchers worldwide.

Get Free Access
Institutional SSO
Secure
This PDF is not available in different languages.
No localized PDFs are currently available.
Ho Won Jang
Ho Won Jang

Institution not specified

Verified
Donghwi Cho
Jun Min Suh
Sang‐Hyeon Nam
+9 more

Abstract

One of the well-known strategies for achieving high-performance light-activated gas sensors is to design a nanostructure for effective surface responses with its geometric advances. However, no study has gone beyond the benefits of the large surface area and provided fundamental strategies to offer a rational structure for increasing their optical and chemical performances. Here, a new class of UV-activated sensing nanoarchitecture made of highly periodic 3D TiO2, which facilitates 55 times enhanced light absorption by confining the incident light in the nanostructure, is prepared as an active gas channel. The key parameters, such as the total 3D TiO2 film and thin-shell thicknesses, are precisely optimized by finite element analysis. Collectively, this fundamental design leads to ultrahigh chemoresistive response to NO2 with a theoretical detection limit of ≈200 ppt. The demonstration of high responses with visible light illumination proposes a future perspective for light-activated gas sensors based on semiconducting oxides.

How to cite this publication

Donghwi Cho, Jun Min Suh, Sang‐Hyeon Nam, Seo Yun Park, Minsu Park, Tae Hyung Lee, Kyoung Soon Choi, Jinho Lee, Changui Ahn, Ho Won Jang, Young‐Seok Shim, Seokwoo Jeon (2020). Optically Activated 3D Thin‐Shell TiO<sub>2</sub> for Super‐Sensitive Chemoresistive Responses: Toward Visible Light Activation. , 8(3), DOI: https://doi.org/10.1002/advs.202001883.

Related publications

Why join Raw Data Library?

Quality

Datasets shared by verified academics with rich metadata and previews.

Control

Authors choose access levels; downloads are logged for transparency.

Free for Academia

Students and faculty get instant access after verification.

Publication Details

Type

Article

Year

2020

Authors

12

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1002/advs.202001883

Join Research Community

Access datasets from 50,000+ researchers worldwide with institutional verification.

Get Free Access