Smarter search for fuel-cell catalysts using machine learning
Peer-Reviewed Publication
Updates every hour. Last Updated: 30-Oct-2026 22:16 ET (31-Oct-2026 02:16 GMT/UTC)
A computational method combining generative AI with atomistic simulations can identify promising platinum alloy catalyst structures for hydrogen fuel cells, report researchers from Science Tokyo. Their approach addresses a longstanding challenge in catalyst design and consistently produces high-performing candidates from several material combinations.
A core-shell Pd@CeO2/γ-Al2O3 catalyst improves exhaust treatment for stoichiometric natural gas vehicles by promoting lower-temperature CH4 and NO conversion and strong hydrothermal stability. The design lowers reaction barriers at Pd-CeO2 interfaces and retains high activity after severe aging. After aging at 800 °C for 16 hours, the catalyst showed only minor losses in CH4 and NO conversion over a 100-hour test, offering a promising route to cleaner and more durable NGV aftertreatment.
PeroCycle, a pioneer in closed-loop carbon recycling, has announced it has been awarded a comprehensive feasibility assessment by Jindal Steel (Oman).
Protein language models are accelerating biotech but largely operate as black boxes. In Nature Machine Intelligence, researchers at the Centre for Genomic Regulation (CRG) publish the most comprehensive review yet of explainable AI in protein design, with a roadmap for making these powerful tools transparent, trustworthy and safe to deploy.
Researchers have cautioned that well‑intended suggested changes to carbon markets risk worsening climate impacts if core safeguards are weakened.
A team of researchers from the North China Electric Power University and the National Institute of Metrology in China has published a perspective on a promising class of materials for extracting uranium from aqueous environments. Their work details the design and application of heterocyclic-linked covalent organic frameworks (COFs), which use light to perform this critical task. This approach holds significant potential for both cleaning up contaminated water sources and securing a sustainable supply of uranium, the primary fuel for nuclear energy, by extracting it from seawater.
The dual need for environmental remediation and resource security has spurred the development of new technologies for uranium capture. Traditional methods face challenges with selectivity and capacity. The authors explain that photocatalysis offers a distinct advantage by using light to trigger specific redox reactions, reducing soluble and mobile uranium (U(VI)) into insoluble and immobile forms (U(IV)). The success of this technique depends on creating highly efficient photocatalysts. The focus of this perspective is on COFs, which are crystalline, porous materials built from organic molecules linked by strong covalent bonds.