• HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
Thursday, August 13, 2026
BIOENGINEER.ORG
No Result
View All Result
  • Login
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
No Result
View All Result
Bioengineer.org
No Result
View All Result
Home NEWS Science News Technology

Low-Temperature Oxide-Ion Conduction Discovered in Aurivillius-Phase Sodium Bismuth Tin Oxides

Bioengineer by Bioengineer
July 26, 2026
in Technology
Reading Time: 2 mins read
0
Low-Temperature Oxide-Ion Conduction Discovered in Aurivillius-Phase Sodium Bismuth Tin Oxides
Share on FacebookShare on TwitterShare on LinkedinShare on RedditShare on Telegram

Solid oxide fuel cells and other high-temperature electrochemical devices rely on fast oxide-ion conductors, yet most candidates only become truly mobile well above 500 °C. That limitation has kept system designs complex and left manufacturers with fewer material choices. A new study now challenges this constraint by engineering a family of oxide-ion conductors that perform at substantially lower temperatures, opening a path toward simpler, more durable energy systems.

Researchers report Aurivillius-type thin films described by ((Na0.5Bi0.5)n–1 TinO3n)(Bi2O2) with n = 4, 5, 7, and 8. These layered oxides combine a periodically repeating bismuth-oxide motif with a tetragonally distorted Na0.5Bi0.5TiO3 lattice, effectively creating an organized internal landscape for ion motion rather than relying on random disorder to enable conduction.

The key advance is the formation of well-defined, periodic fast ion-conducting channels. At 350 °C, the films reach an oxide-ion conductivity of 0.025 S cm−1, a value that signals ionic mobility far beyond what is typical for many solid electrolytes in this temperature regime.

To explain why the materials conduct so efficiently, the team combines atomic-scale electron ptychography with first-principles calculations. The imaging reveals localized lattice stretching, while the calculations point to how structural distortions reshape the energy pathways available to ions.

Crucially, the authors attribute the behavior to dual-ion conduction pathways triggered by specific bismuth-oxide intercalation. Instead of a single dominant route, the structure supports more than one migration channel, which collectively lowers barriers and sustains ion transport at lower thermal budgets.

The results connect design to function: by selecting the Aurivillius layering chemistry and thickness sequence (set by n), the researchers can tune the geometry of channels and distortions that guide ions through the solid. That tunability provides a blueprint for searching next-generation low-temperature electrolytes.

Finally, the work translates materials performance into device output. Fuel cells built using these films deliver a maximum power density of 0.726 W cm−2 at 400 °C, demonstrating that the conductivity gains are not merely academic but compatible with practical electrochemical operation.

Overall, the study offers a viral-science-ready message: the right layered structure can “schedule” ion motion inside a solid, enabling high oxide-ion conductivity where it was previously rare.

Subject of Research: Low-temperature oxide-ion conduction in Aurivillius-type oxide conductors
Article Title: Low-temperature oxide-ion conduction in Aurivillius-type ((Na0.5Bi0.5)n–1TinO3n)(Bi2O2) phases.
Article References: Huo, C., Deng, S., Ma, L. et al. Nat Energy (2026). https://doi.org/10.1038/s41560-026-02115-5
DOI: https://doi.org/10.1038/s41560-026-02115-5
Image Credits: AI Generated
Keywords:

Tags: atomic-scale electron ptychography analysisAurivillius-phase sodium bismuth tin oxidesbismuth-oxide layered structuresdistortion-induced ionic mobilityenergy pathway reshaping in oxide conductorsfirst-principles calculations of ionic pathwayshigh ionic conductivity at 350°Clayered oxide-ion conductorslow-temperature electrochemical device materialsLow-temperature oxide-ion conductionsolid oxide fuel cell electrolytesstructured ion conduction channels

Share12Tweet7Share2ShareShareShare1

Related Posts

Survey reveals what people really think about generative AI

Survey reveals what people really think about generative AI

August 13, 2026
Where to Prioritize Cropland Restoration: Integrating Natural, Economic, and Spatial Stability

Where to Prioritize Cropland Restoration: Integrating Natural, Economic, and Spatial Stability

August 13, 2026

GPS Study Shows Barred Owl Management Gives Spotted Owls a Fighting Chance

August 13, 2026

From Cabozantinib to Zanzalintinib: Chemical Tweaks Open New Frontier in Product Hopping

August 13, 2026

POPULAR NEWS

  • Survey reveals what people really think about generative AI

    29 shares
    Share 12 Tweet 7
  • AI model detects mutations and predicts biomarkers across 32 cancer types

    29 shares
    Share 12 Tweet 7
  • Laboratory differences may mislead scientific AI models, researchers warn

    29 shares
    Share 12 Tweet 7
  • Turning AI Breakthroughs Into Public Health Action

    29 shares
    Share 12 Tweet 7

About

We bring you the latest biotechnology news from best research centers and universities around the world. Check our website.

Follow us

Recent News

Survey reveals what people really think about generative AI

AI model detects mutations and predicts biomarkers across 32 cancer types

Laboratory differences may mislead scientific AI models, researchers warn

Subscribe to Blog via Email

Enter your email address to subscribe to this blog and receive notifications of new posts by email.

Join 86 other subscribers
  • Contact Us

Bioengineer.org © Copyright 2023 All Rights Reserved.

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In
No Result
View All Result
  • Homepages
    • Home Page 1
    • Home Page 2
  • News
  • National
  • Business
  • Health
  • Lifestyle
  • Science

Bioengineer.org © Copyright 2023 All Rights Reserved.