Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Inverse Design of Thermal Imaging Metalens Achieving 100° Field of View on a 4 × 4 Microbolometer Arrayopen accessInverse Design of Thermal Imaging Metalens Achieving 100° Field of View on a 4 x 4 Microbolometer Array

Other Titles
Inverse Design of Thermal Imaging Metalens Achieving 100° Field of View on a 4 x 4 Microbolometer Array
Authors
Bae, MunseongJang, EunbiKang, ChanikChung, Haejun
Issue Date
Jan-2026
Publisher
MDPI
Keywords
metalens; inverse design; adjoint optimization; wide field of view (FoV); long-wave infrared (LWIR); thermal imaging; low-resolution IoT sensors
Citation
MICROMACHINES, v.17, no.1, pp 1 - 16
Pages
16
Indexed
SCIE
SCOPUS
Journal Title
MICROMACHINES
Volume
17
Number
1
Start Page
1
End Page
16
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/210910
DOI
10.3390/mi17010065
ISSN
2072-666X
2072-666X
Abstract
We present an inverse designed metalens for long-wave infrared (LWIR) imaging tailored to consumer and Internet of Things (IoT) platforms. Conventional LWIR optics either rely on costly specialty materials or suffer from low efficiency and narrow fields of view (FoV), limiting scalability. Our approach integrates adjoint-based inverse design with fabrication-aware constraints and a cone-shaped source model that efficiently captures oblique incidence during optimization. The resulting multi-level metalens achieves a wide FoV up to 100° while maintaining robust focusing efficiency and stable angle-to-position mapping on low-power (Formula presented.) microbolometer arrays representative of edge devices. We further demonstrate application-level imaging on (Formula presented.) microbolometer arrays, showing that the proposed metalens delivers a substantially wider FoV than a commercial narrow FoV lens while meeting low-resolution, low-cost, and low-power constraints for edge LWIR modules. By eliminating bulky multi-element stacks and reducing cost and form factor, the proposed design provides a practical pathway to compact, energy-efficient LWIR modules for consumer applications such as occupancy analytics, smart-building automation, mobile sensing, and outdoor fire surveillance.
Files in This Item
Go to Link
Appears in
Collections
서울 공과대학 > 서울 융합전자공학부 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Chung, Haejun photo

Chung, Haejun
COLLEGE OF ENGINEERING (SCHOOL OF ELECTRONIC ENGINEERING)
Read more

Altmetrics

Total Views & Downloads

BROWSE