Home > Press > Discovery of new Li ion conductor unlocks new direction for sustainable batteries: University of Liverpool researchers have discovered a new solid material that rapidly conducts lithium ions
![]() |
| Image represents the lithium ions (in blue) moving through the structure CREDIT University of Liverpool |
Abstract:
One of the grand challenges for materials science is the design and discovery of new materials that address global priorities such as Net Zero.
In a paper published in the journal Science, researchers at the University of Liverpool have discovered a solid material that rapidly conducts lithium ions. Such lithium electrolytes are essential components in the rechargeable batteries that power electric vehicles and many electronic devices.
Consisting of non-toxic earth-abundant elements, the new material has high enough Li ion conductivity to replace the liquid electrolytes in current Li ion battery technology, improving safety and energy capacity.
Using a transformative scientific approach to design the material, the interdisciplinary research team from the University synthesised the material in the laboratory, determined its structure (the arrangement of the atoms in space) and demonstrated it in a battery cell.
The new material is one of a very small number of solid materials that achieve Li ion conductivity high enough to replace liquid electrolytes, and operates in a new way because of its structure.
Its discovery was achieved through a collaborative computational and experimental workflow that used AI and physics-based calculations to support decisions made by chemistry experts at the University.
The new material provides a platform for the optimisation of chemistry to further enhance the properties of the material itself, and to identify other materials based on the new understanding provided by the study.
Professor Matt Rosseinsky, from the University of Liverpool’s Department of Chemistry, said: “This research demonstrates the design and discovery of a material that is both new and functional. The structure of this material changes previous understanding of what a high-performance solid-state electrolyte looks like.
“Specifically, solids with many different environments for the mobile ions can perform very well, not just the small number of solids where there is a very narrow range of ionic environments. This dramatically opens up the chemical space available for further discoveries.
Recent reports and media coverage herald the use of AI tools to find potentially new materials. In these cases, the AI tools are working independently and thus are likely to recreate what they were trained on in various ways, generating materials that may be very similar to known ones.
“This discovery research paper shows that AI and computers marshalled by experts can tackle the complex problem of real-world materials discovery, where we seek meaningful differences in composition and structure whose impact on properties is assessed based on understanding.”
“Our disruptive design approach offers a new route to discovery of these and other high-performance materials that rely on the fast motion of ions in solids.”
The study undertaken was a combined effort between researchers in University of Liverpool’s Department of Chemistry, Materials Innovation Factory, Leverhulme Research Centre for Functional Materials Design, Stephenson Institute for Renewable Energy, Albert Crewe Centre, and School of Engineering.
The work was funded by the Engineering and Physical Sciences Research Council (EPSRC), the Leverhulme Trust, and the Faraday Institution.
The paper `Superionic lithium transport via multiple coordination environments defined by two anion packing’ is published in Science.
####
For more information, please click here
Contacts:
Sarah Stamper
University of Liverpool
Cell: 07970247396
Copyright © University of Liverpool
If you have a comment, please Contact us.Issuers of news releases, not 7th Wave, Inc. or Nanotechnology Now, are solely responsible for the accuracy of the content.
| Related Links |
| Related News Press |
Chemistry
Projecting light to dispense liquids: A new route to ultra-precise microdroplets January 30th, 2026
From sensors to smart systems: the rise of AI-driven photonic noses January 30th, 2026
News and information
Decoding hydrogen‑bond network of electrolyte for cryogenic durable aqueous zinc‑ion batteries January 30th, 2026
COF scaffold membrane with gate‑lane nanostructure for efficient Li+/Mg2+ separation January 30th, 2026
Govt.-Legislation/Regulation/Funding/Policy
Metasurfaces smooth light to boost magnetic sensing precision January 30th, 2026
New imaging approach transforms study of bacterial biofilms August 8th, 2025
Electrifying results shed light on graphene foam as a potential material for lab grown cartilage June 6th, 2025
Possible Futures
Decoding hydrogen‑bond network of electrolyte for cryogenic durable aqueous zinc‑ion batteries January 30th, 2026
COF scaffold membrane with gate‑lane nanostructure for efficient Li+/Mg2+ separation January 30th, 2026
Discoveries
From sensors to smart systems: the rise of AI-driven photonic noses January 30th, 2026
Decoding hydrogen‑bond network of electrolyte for cryogenic durable aqueous zinc‑ion batteries January 30th, 2026
COF scaffold membrane with gate‑lane nanostructure for efficient Li+/Mg2+ separation January 30th, 2026
Announcements
Decoding hydrogen‑bond network of electrolyte for cryogenic durable aqueous zinc‑ion batteries January 30th, 2026
COF scaffold membrane with gate‑lane nanostructure for efficient Li+/Mg2+ separation January 30th, 2026
Interviews/Book Reviews/Essays/Reports/Podcasts/Journals/White papers/Posters
Metasurfaces smooth light to boost magnetic sensing precision January 30th, 2026
COF scaffold membrane with gate‑lane nanostructure for efficient Li+/Mg2+ separation January 30th, 2026
Battery Technology/Capacitors/Generators/Piezoelectrics/Thermoelectrics/Energy storage
Decoding hydrogen‑bond network of electrolyte for cryogenic durable aqueous zinc‑ion batteries January 30th, 2026
COF scaffold membrane with gate‑lane nanostructure for efficient Li+/Mg2+ separation January 30th, 2026
MXene nanomaterials enter a new dimension Multilayer nanomaterial: MXene flakes created at Drexel University show new promise as 1D scrolls January 30th, 2026
Artificial Intelligence
From sensors to smart systems: the rise of AI-driven photonic noses January 30th, 2026
New quantum encoding methods slash circuit complexity in machine learning November 8th, 2024
Rice research could make weird AI images a thing of the past: New diffusion model approach solves the aspect ratio problem September 13th, 2024
Grants/Sponsored Research/Awards/Scholarships/Gifts/Contests/Honors/Records
Metasurfaces smooth light to boost magnetic sensing precision January 30th, 2026
Researchers tackle the memory bottleneck stalling quantum computing October 3rd, 2025
New discovery aims to improve the design of microelectronic devices September 13th, 2024
|
|
||
|
|
||
| The latest news from around the world, FREE | ||
|
|
||
|
|
||
| Premium Products | ||
|
|
||
|
Only the news you want to read!
Learn More |
||
|
|
||
|
Full-service, expert consulting
Learn More |
||
|
|
||