MIT researchers developed a method for making an iron-containing gel that can form soft, magnetically activated structures. The gel could be the basis for microscopic robots and materials that can be controlled by an external magnet, for example to release drugs or grab biopsies within the body.

Globally, more than 460 million tonnes of plastic are produced each year, with millions of tonnes leaking into the environment. In a new paper published in Chem Catalysis, Adelaide University researchers explain how solar-powered technologies can convert plastic into hydrogen, a clean fuel with zero emissions.

28 April 2026 / Kiel. How much of the essential trace element iron remains available for marine life in the ocean depends critically on the diversity of organic molecules in seawater. This is shown by new research published in Nature Communications by an international team led by Dr Martha Gledhill from the GEOMAR Helmholtz Centre for Ocean Research Kiel. The study demonstrates for the first time that the formation of iron minerals and the distribution of dissolved and particulate iron in the South Pacific can be realistically predicted when the chemical complexity of organic matter is taken into account. These findings provide an important basis for understanding how marine life may respond to a warmer and more acidic future ocean.

The stress concentration and damage evolution of ultra-high performance concrete (UHPC) under long-term dynamic loading are difficult to monitor in real time, as conventional sensors suffer from poor durability, high cost, and incompatibility with matrix deformation. Recently, a team from the University of Shanghai for Science and Technology developed a machine learning framework that significantly improves dynamic compressive stress prediction in high-sensitivity ultra-high performance concrete (HS-UHPC) by incorporating electrical resistivity as a key input parameter. Using three machine learning algorithms—double-layer neural network, boosting tree, and squared exponential Gaussian process regression (SE-GPR)—the team demonstrated that adding resistivity measurements alongside traditional displacement data enhances predictive accuracy, with the SE-GPR model achieving an R² of 0.85 and reducing mean absolute error by 41.1% compared to displacement-only models. The core innovation is using electrical resistivity to directly capture load‑induced microstructural changes, overcoming the damage‑detection limitations of traditional strain or displacement measurements. This provides a new theoretical basis for intelligent monitoring of self‑sensing concrete.

An article published in The Journal of Physical Chemistry Letters describes a new transient absorption microscope developed by a research group led by Prof. Toru Kondo at the National Institute for Basic Biology (NIBB) / the Exploratory Research Center on Life and Living Systems (ExCELLS) / SOKENDAI. This microscope integrates a unique optical alignment for single-objective absorption microscopy, a highly sensitive balanced detector, and lock-in-amplified detection, allowing femtosecond time-resolved transient absorption measurements to be performed continuously at a high repetition rate. Moreover, steady-state absorption and fluorescence measurements, i.e., simultaneous absorption and fluorescence imaging, can be performed. Furthermore, the fluorescence spectrum and lifetime can be acquired. The spatial resolution is ~300 nanometers, near the diffraction limit; the temporal resolution is less than 200 femtoseconds; and the detection sensitivity of the transient absorption signal is about 10^–7 in absorbance, approaching the single-molecule level.

A new 10-year project agreement between the U.S. Department of Energy and the Max Planck Institute for Plasma Physics will advance research on the Wendelstein 7-X stellarator and marks the first partnership established under a new model project framework between the U.S. and European Commission. The framework streamlines the process for initiating and expanding joint fusion research efforts.

Quantum dots, hailed as "star materials in the nano-world," promise revolutionary displays, yet indium phosphide (InP)-based versions face synthesis challenges like non-uniform cores, broad emission, and low PLQY, especially blue devices lagging cadmium systems. A new review in Opto-Electronic Advances systematically analyzes nucleation mechanisms, core/shell optimization, ligand engineering, and charge management in InP quantum dot light-emitting diodes, achieving external quantum efficiency exceeding 20% for red and green, while charting paths to commercialization.