New AI model explores massive chemical space with minimal data
Peer-Reviewed Publication
Updates every hour. Last Updated: 20-Dec-2025 08:11 ET (20-Dec-2025 13:11 GMT/UTC)
Our galaxy’s most abundant type of planet could be rich in liquid water due to formative interactions between magma oceans and primitive atmospheres during their early years. New experimental work demonstrates that large quantities of water are created as a natural consequence of planet formation. It represents a major step forward in how we think about the search for distant worlds capable of hosting life.
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.
A new study from the Technion – Israel Institute of Technology, published in Science, presents a long-term roadmap positioning porous materials as a cornerstone of future energy technologies. Led by Prof. David Eisenberg and Dr. Eliyahu Farber of the Schulich Faculty of Chemistry and the Nancy and Stephen Grand Technion Energy Program, the research highlights how porous structures—defined by the interplay between matter and empty space—govern the flow of energy in forms such as mass, electrical charge, heat, radiation, and mechanical pressure.
Porous materials already play central roles in technologies such as underground fuel extraction and battery charge conduction. According to the researchers, the next wave of innovation hinges on the intelligent design of these structures to optimize mass and charge transfer, enabling significant improvements in energy production, conversion, and storage.
By analyzing advanced and biomimetic (nature-inspired) architectures across multiple fields, the team identified trends that could shape future applications—from using porous materials to reduce power consumption in electronic chips to developing improved shock-absorbing materials for biomedical implants.
The study integrates principles that apply across all scales, from atoms to full systems, and offers generalizable models to predict energetic behavior and boost performance. These models could accelerate the development of next-generation materials for solar cells, batteries, electrochemical systems, and sustainable fuel production—advancing global energy goals.
The research was supported by the Israel Ministry of Energy and Infrastructure.