Pioneering natural, degradable polymer capsules
Peer-Reviewed Publication
Updates every hour. Last Updated: 15-Jan-2026 18:11 ET (15-Jan-2026 23:11 GMT/UTC)
Osaka Metropolitan University researchers have developed a polymerization technology that enables the synthesis of degradable polymer capsules in aqueous solvents without any initiators or catalysts by irradiating light-reactive monomers derived from natural products.
With the rapid advancement of multi-dimensional detection technologies including hyperspectral imaging and polarization imaging, the concealment efficacy of traditional camouflage has been threatened. To address this challenge, Professor Qiang Li’s team from Zhejiang University has developed a composite hierarchical structure device, which achieves low emissivity, low degree of polarization and simulation of vegetation spectrum for camouflage in all dimensions. This technique will open up ways to counter multimodal imaging detection, enhancing the survivability of equipment.
This study presents a transfer learning–based method for predicting train-induced environmental vibration. The method applies data fusion to combine physics-based numerical simulations and limited measurement data within a neural network. It reduces the heavy reliance of conventional machine learning–based models on scarce and costly field measurements while achieving improved prediction accuracy.
Topological phases are at the heart of many advances in photonics and materials science. In a recent eLight paper, researchers introduced the concept of multi-topological phases, a previously unknown class of topological phases that goes beyond conventional topological theory. Such multi-topological phases can host multiple sets of boundary states, associated with multiple topological invariants, arising from constrained inter-cell coupling in lattice systems. This discovery offers a novel design strategy for future topological materials.