AI-Optimized Vanadium Oxide Multilayers for More Than 20-fold Enhancement in Bolometric Performance.
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| Title: | AI-Optimized Vanadium Oxide Multilayers for More Than 20-fold Enhancement in Bolometric Performance. |
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| Authors: | Choi JH; Department of Physics, Ulsan National Institute of Science & Technology, Ulsan, Republic of Korea., Lee HT; Department of Physics, Ulsan National Institute of Science & Technology, Ulsan, Republic of Korea.; Pohang Accelerator Laboratory, POSTECH, Pohang, Gyeongbuk, Republic of Korea., Kim J; Department of Physics, Ulsan National Institute of Science & Technology, Ulsan, Republic of Korea., Park M; Department of Physics, Ulsan National Institute of Science & Technology, Ulsan, Republic of Korea., Sun S; Department of Physics, Ulsan National Institute of Science & Technology, Ulsan, Republic of Korea., Kim GH; Department of Physics, Ulsan National Institute of Science & Technology, Ulsan, Republic of Korea., Kwon MH; i3system Company, Daejeon, Republic of Korea., Park HR; Department of Physics, Ulsan National Institute of Science & Technology, Ulsan, Republic of Korea., Sohn C; Department of Physics, Ulsan National Institute of Science & Technology, Ulsan, Republic of Korea. |
| Source: | Advanced science (Weinheim, Baden-Wurttemberg, Germany) [Adv Sci (Weinh)] 2026 Apr; Vol. 13 (19), pp. e14344. Date of Electronic Publication: 2026 Jan 28. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: WILEY-VCH Country of Publication: Germany NLM ID: 101664569 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2198-3844 (Electronic) Linking ISSN: 21983844 NLM ISO Abbreviation: Adv Sci (Weinh) Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2198-3844 |
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| DOI: | 10.1002/advs.202514344 |
