Researchers from China present a new framework to simulate how black hole images change over time, focusing on rotating regular black holes with nonsingular cores. Using spatio-temporal random fields and efficient light ray tracing, the model captures realistic brightness fluctuations, turbulence, and light-travel effects around the black hole. The simulated results reproduce time-varying features like the shifting bright ring seen in M87*, offering a fast, physically grounded alternative to full GRMHD simulations and paving the way for future dynamic black hole imaging studies.

As cities grow denser and hotter, creating space for greenery becomes increasingly difficult. To address this challenge, researchers from Chiba University developed a data-driven framework that integrates artificial intelligence and spatial analysis to map vertical greenery across Tokyo’s 23 wards. By analyzing over 80,000 street-view images, the team identified uneven distribution patterns and proposed a vertical greening demand index to guide future urban greening initiatives and climate-resilient urban planning.

Hypothesis research looking at the potential of larger Taurid impact in 2032 and 2036. 

Crystal structure prediction (CSP) of organic molecules is a critical task, especially in pharmaceuticals and materials science. However, conventional methods are computationally intensive and time-consuming. Now, researchers from Japan have developed a new workflow: SPaDe-CSP that accelerates CSP by machine learning-based prediction of most probable space groups and crystal densities and employing an efficient neural network potential for structure refinement. It achieved faster and more reliable CSP than conventional methods.

When you think about it, baran, those little plastic grass dividers found in bentos, save space by allowing bento makers to combine foods without mixing their flavors into a single bento box. Much like baran, researchers from Tohoku University have come up with a way to combine two chemical reactions inside a single electrolytic cell, thereby reducing waste and energy consumption associated with traditional chemical reactions.

Astronomers from the International Centre of Radio Astronomy Research (ICRAR) have produced the largest and most detailed low-frequency radio image of the Milky Way to date, using data from the Murchison Widefield Array telescope in Western Australia. The new image, assembled from years of survey data and advanced supercomputing, offers unprecedented sensitivity and resolution, allowing scientists to study the structure and evolution of our Galaxy in remarkable detail. It reveals new insights into star formation, supernova remnants, and pulsars, and marks a significant milestone in radio astronomy.