Allen Institute researchers and engineers have unlocked potential and vast discoveries through the new Brain Knowledge Platform (BKP).  This first-of-its-kind database and research tool has just launched with data from over 34 million brain cells. It compiles and standardizes the world’s neuroscience data into a common format and language allowing deep, seamless collaboration between international teams all united in the common goal of finding cures for brain disease.   

In many modern sciences, data often exist on curved geometric spaces rather than flat planes, posing challenges for traditional statistical tools. These curved spaces are called Riemannian manifolds. Researchers from Pusan National University and Seoul National University have developed the “Huber mean,” a new method for robustly analyzing data on Riemannian manifolds. This study offers a powerful way to calculate averages that remain accurate even when data contain noise or outliers.

Supported catalysts are widely used in various chemical processes. However, most catalysts perform well only for specific chemical reactions, necessitating new methods to diversify and improve performance. Now, researchers have developed an innovative gas-switch-triggered reduction method for impregnation-based synthesis of supported catalysts, consisting of multiple alloyed metals. This method is simple, scalable and can be integrated easily into industrial processes, paving the way for advanced catalysts for more sustainable chemical synthesis.

In a new paper published in National Science Review, the team of the Professor Long Li from the Xidian University, China have proposed an electromagnetic all-in-one radiation-scattering RIS. A unified and efficient theory for integrated radiation-scattering manipulation was established, along with a corresponding physical platform. This framework encompasses multi-dimensional electromagnetic properties—including phase, polarization, amplitude, waveform, frequency, and time—enabling the on-demand design of RIS. This approach provides a novel technological paradigm for the era of 6G communications and the Internet of Everything in wireless sensor networks.

A new type of “ink” makes it possible to 3D print electrochemically switchable, conducting polymers using a light-based process. Researchers from the universities of Heidelberg and Stuttgart have succeeded in making so-called redox polymers useful for additive manufacturing with digital light processing. The complex two- and three-dimensional structures created in this way can be manipulated electrochemically to change color. This opens up new perspectives for manufacturing 3D-printed optoelectronic devices. The research work was conducted within the Research Training Group “Mixed Ionic-Electronic Transport: From Fundamentals to Applications”, which is supported by both universities.