Seoul National University College of Engineering announced that the research team of Professors Jeyong Yoon and Jaeyune Ryu from the Department of Chemical and Biological Engineering, in collaboration with Professor Jang Yong Lee’s team from Konkuk University’s Department of Chemical Engineering, has developed a new water electrolysis operation strategy that can produce green hydrogen without complex catalyst manufacturing processes.

 

The research team presented the possibility of significantly increasing hydrogen production efficiency without the use of precious metal-based catalysts. As a result, this research outcome is expected to be a technological turning point that accelerates the realization of a carbon-neutral society.

 

These findings were published on May 23th in the world-renowned journal Nature Communications under the title “Dynamic polarization control of Ni electrodes for sustainable and scalable water electrolysis under alkaline conditions.”

MBARI is pleased to announce Antje Boetius as the institute’s president and CEO. A world-renowned polar and deep-sea researcher, Boetius will lead MBARI into an exciting new chapter in its work to develop and deploy innovative technology to understand our changing ocean.

By combining radiocarbon dating, palaeography, and artificial intelligence, an international team of researchers led by the University of Groningen has developed a date-prediction model that provides much more accurate date estimates for individual manuscripts Dead Sea Scrolls. Using this model, called Enoch, the researchers demonstrate that many Dead Sea Scrolls are older than previously thought.

An AI program trained to study the handwriting styles of centuries-old manuscripts from the Middle East suggests that many of the Dead Sea Scrolls might be older than previously thought, according to a study published June 4, 2025 in the open-access journal PLOS One by Mladen Popović from the University of Groningen, The Netherlands, and colleagues. This method could give researchers a new way to place undated manuscripts into the timeline of ancient history.

GPT-generated educational materials for urological cancer patients, translated by AI into five languages, are rated by doctors as easier to read than human-authored versions while being just as clear, accurate and complete