For centuries, physicists have believed that ice melts on slippery surfaces due to the effects of temperature, pressure and friction. But a research team led by Martin Müser, Professor of Materials Simulation at Saarland University, has now shown that this long-standing belief is mistaken. Using advanced computer simulations, the team discovered that molecular dipoles—tiny charged regions within molecules—play a decisive role in disrupting the crystalline structure of ice. Their findings have been published in the prestigious journal Physical Review Letters.

Dr. Seunghak Lee, Jaeshik Chung, and Sang Hyun Kim of the Water Resources Cycle Research Center at the Korea Institute of Science and Technology (KIST) observed how oil and water interact in porous media under various conditions using a "microfluidic system" that allows precise observation of microscopic fluid flows.

Researchers at the University of Osaka have developed NeuraLeaf, a revolutionary CG model using deep learning to represent diverse plant species and their leaf deformations. This single model overcomes the limitations of traditional manual modeling by disentangling species-specific shapes from dynamic 3D deformations like wilting or curling. NeuraLeaf allows precise tracking of leaf changes, enhancing growth prediction, disease detection, and agricultural management. Presented at ICCV 2025, this technology promises to advance plant science and contribute to "PlantTwin," a project creating digital twins of plants.

Researchers at Nanjing University of Science and Technology (NJUST) developed PCA-3DSIM, a mathematically grounded enhancement to 3D structured illumination microscopy that improves resolution and stability by integrating physical modeling with statistical analysis, enabling clearer and more reliable super-resolution imaging in life sciences with broad implications for advancing biological discovery and precision medicine.