A new study has challenged conventional wisdom on oxygen reduction reaction (ORR) catalysts by uncovering a novel reaction pathway in weak-binding metal–nitrogen–carbon (M–N–C) single-atom catalysts (SACs), potentially revolutionizing the design of next-generation electrocatalysts for clean energy applications.

In a significant advancement for renewable energy technologies, a new catalyst has been developed that dramatically improves the efficiency and stability of the oxygen evolution reaction (OER) in acidic media, a critical process for water splitting and hydrogen production.

We are using up nickel at an alarming rate to make stainless steel. Thankfully, researchers have found a way to cut nickel out of the equation, without compromising on strength.

A recent study led by Associate Professor Takuya Yamamoto and Researcher May Nakajima-Koyama has revealed that maintaining a delicate balance between interferon-gamma (IFN-γ) and extracellular signal-regulated kinase (ERK)/mitogen-activated protein kinase (MAPK) signaling is essential for preserving the intestinal stem cell population during aging. By comparing young and aged mouse intestinal tissues, the researchers uncovered critical insights into the interplay between these signaling pathways in supporting stem cell maintenance over time.

Tokyo, Japan - A collaboration between the International Research Center for Neurointelligence (IRCN), The University of Tokyo and Tohoku University brings new insights into how the brain uses structured representations to process information. 

AI transformational impact is well under way. But as AI technologies develop, so too does their power consumption. Now, researchershave developed a new spintronic device that can potentially revolutionize AI hardware through higher efficiency and lower energy costs.

Kavli IPMU researchers are part of an international team that has found dark matter dominating the halos of two supermassive black holes 13 billion light years away.

Understanding how cells transform into specialized types during human development is a central challenge in biology. This complex process, known as cell differentiation, holds the key to understanding developmental biology and advancing regenerative medicine. A team of researchers in Japan has developed a new computational tool, scEGOT, which provides new insights into this process by addressing the limitations of previous methods and enabling the analysis of single cell dynamics across different cell types.