PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 21, 2026Chemistry of Materials0 citations

A High Thermal Conductivity Kovar Alloy via Chemical Tailoring

View Full Paper
BSBaicun SongCYChengyi YuYCYujie Chen

Key Points

  • The aim is to achieve high thermal conductivity while ensuring thermal expansion compatibility in alloys for electronic devices.
  • Designed a ternary alloy, Fe55.6Ni27.3Cu17.1, through chemical tailoring.
  • Conducted thermal expansion measurements across temperatures from 112 to 492 K.
  • Measured thermal conductivity at room temperature.
  • Analyzed the effects of Cu substitution on magneto-volume and electronic properties.
  • Achieved low thermal expansion of 5.37 × 10–6 K–1.
  • Attained a high thermal conductivity of 18.24 W·m–1·K–1 at room temperature.
  • Demonstrated that Cu substitution enhances electron density, improving conductivity.

Abstract

Achieving high thermal conductivity while maintaining thermal expansion compatibility is crucial for efficient heat dissipation and long-term reliability in electronic devices; yet, it remains rare in metallic systems. Here, through chemical tailoring in high-symmetry face-centered cubic Fe–Ni alloys, we design a Fe55.6Ni27.3Cu17.1 ternary alloy to achieve both low thermal expansion (αl = 5.37 × 10–6 K–1, 112–492 K) and high thermal conductivity (18.24 W·m–1·K–1 at room temperature). Cu substitution shifts the Fe majority-spin d band top-edge toward the Fermi level, strengthening the magneto-volume effect and reducing thermal expansion, while simultaneously increasing the s band electron density at the Fermi level to enhance free-electron transport and boost thermal conductivity. These results highlight that chemical tailoring provides an effective strategy for enhancing thermal and magnetic properties, offering both a theoretical foundation and a practical pathway for designing high-performance electronic packaging alloys.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Song et al. (2026) studied this question.

synapsesocial.com/papers/69994aab873532290d01f07fhttps://doi.org/10.1021/acs.chemmater.5c03425
Ask AI
Helpful
Bookmark
Share
View Full Paper