Seoul National University of Science and Technology researchers develop AI framework for optimizing solid oxide electrolysis cells
Peer-Reviewed Publication
Updates every hour. Last Updated: 29-Oct-2026 17:16 ET (29-Oct-2026 21:16 GMT/UTC)
As countries invest in green hydrogen to decarbonize heavy industry, transportation, and energy systems, researchers are seeking faster ways to accelerate the development of hydrogen technologies. Solid oxide electrolysis cells are among the most efficient systems for producing green hydrogen from steam, but identifying their optimal operating conditions requires thousands of computationally intensive simulations, slowing innovation and increasing development costs.
A platform for training and comparing machine learning models for actively reducing drag, improving lift, cutting noise and managing heat has been launched by an international team including researchers at the University of Washington, University of Michigan Engineering, RWTH Aachen University and the Technical University of Munich.
Five years ago, 1,000 volunteers across Switzerland buried more than 2,000 pairs of cotton underwear. The unconventional citizen science project, led by the University of Zurich and Agroscope, aimed to gain a better understanding of the activity of soil organisms. The newly published findings show that land use is the most important factor in determining decomposition rates and soil life.
Japan Advanced Institute of Science and Technology developed DCA2MC, a divide-and-conquer approach for model checking linear temporal properties. The method splits large verification problems into smaller, independently checkable tasks to address state-space explosion and improve performance through parallelization. A supporting tool is implemented in Maude and provides an environment integrating with external model checkers such as Spin, while a semi-automated method helps select effective layer configurations. Case studies demonstrated improved verification of larger state spaces.
Researchers used combinatorial solid-phase peptide synthesis and infrared thermography to screen 300 tripeptide sequences for interactions with CO2. Two tripeptides, His(Boc)-Phe-Asn and Phe-Ala-Glu(OtBu), showed reproducible thermal responses after CO2 exposure. The signals were reproduced on glass, functionalised cellulose, and Rink-amide resin, indicating that thermographic screening can help identify peptide candidates for further development as bioinspired CO2-binding materials.
Researchers fabricated ultralight anisotropic SiC aerogel using corn‑stalk biomass as raw material. The study, published in Defence Technology, reveals that the material exhibits orientation‑dependent electromagnetic‑wave absorption and outstanding high-temperature insulation performance, clarifying structure‑function coupling effects of biomass‑derived anisotropic ceramic aerogels and offering a green fabrication route for adaptive multifunctional protective materials.