Researchers at The University of Manchester have created a groundbreaking physics‑informed machine‑learning model that can run molecular simulations for unprecedented lengths of time, even at temperatures as high as 1000 Kelvin.

Both Pd single atoms (Pd₁) and clusters (Pd_c) were constructed in three-dimensional ordered macroporous (3DOM) In₂O₃ for photocatalytic CO₂ reduction with H₂O. The large surface area and abundant pore channels of 3DOM-In₂O₃ facilitate mass transfer and intermediate enrichment. The synergisticPd₁ and Pd_c active sites enhance the adsorption and activation of CO₂ and H₂O. The localized surface plasmon resonance of Pd clusters induces a photothermal effect, further accelerating the reaction kinetics.

Direct electrochemical liquid ammonia splitting enables efficient onsite hydrogen generation at room temperature and low pressure (<1 MPa) using Ru nanoparticles on nitrogen-doped carbon. This breakthrough overcomes high-temperature barriers in traditional ammonia decomposition, offering a sustainable pathway for hydrogen production with superior activity and 100-hour stability, surpassing Pt/C catalysts.

Following the development of diffusion models that generate art and video from simple prompts, researchers at the Japan Advanced Institute of Science and Technology have created an artificial intelligence (AI) system that turns text descriptions into accurate architectural images. The model overcomes a major limitation in AI-design tools that only provide visual representations without structural accuracy. The system generates building images that follow structural rules, making AI tools more useful and reliable for architectural design.