PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 4, 2026Applied Physics Letters0 citations

Temperature imaging of chips with high spatiotemporal resolution using diamond nitrogen-vacancy centers

View Full Paper
WSWeidong ShenXLXin LiWWang

Key Points

  • The aim is to develop a method for high-resolution temperature imaging of chips using diamond nitrogen-vacancy centers.
  • Utilized ensemble diamond nitrogen-vacancy centers for temperature imaging.
  • Targeted interdigital electrodes on the chip surface.
  • Achieved spatial resolution of 863 nm and temporal resolution of 2.05 s.
  • Captured thermal distribution changes under different applied voltages.
  • Demonstrated NV centers can surpass traditional methods in spatiotemporal resolution.

Abstract

The operating temperature of a chip is a critical factor determining its operational efficiency and service life. In industrial control environments, temperature imaging of a chip plays a vital role in detecting localized heat accumulation and heat dissipation system failures. Although many advanced techniques have been proposed, achieving high spatiotemporal resolution temperature imaging on the chip still presents significant challenges. In this study, we proposed a temperature imaging method based on ensemble diamond nitrogen-vacancy (NV) centers and applied it to the temperature imaging of interdigital electrodes. This method achieved temperature imaging of the chip surface with a spatial resolution of 863 nm and a temporal resolution of up to 2.05 s, capturing the changes in thermal distribution with different applied voltages. The results indicate that NV centers can overcome the limitations of traditional temperature measurement methods in terms of spatiotemporal resolution, offering a promising measurement solution for chip temperature detection.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Shen et al. (2026) studied this question.

synapsesocial.com/papers/69a7cd3dd48f933b5eed967bhttps://doi.org/10.1063/5.0305268
Ask AI
Helpful
Bookmark
Share
View Full Paper