EPFL scientists have identified a new property, interface flexibility, that controls how certain molecules naturally self-organize into crystalline supramolecular networks. This significant discovery could change the design of synthetic molecules for network growth at the nanoscale.

Researchers have developed a reactor that pulls carbon dioxide directly from the air and converts it into sustainable fuel, using sunlight as the power source.

When analyzing odorants in food or their raw materials, the formation of artifacts can significantly distort the results. In a new comparative study, two researchers from the Leibniz-Institute for Food Systems Biology at the Technical University of Munich have shown that the injection method in gas chromatographic odorant analysis has a decisive influence on the formation of artifacts. On-column injection proved to be the gold standard, while solvent-free methods performed significantly worse.

Traditional black holes, as predicted by Albert Einstein’s theory of General Relativity, contain what are known as singularities, i.e. points where the laws of physics break down. Identifying how singularities are resolved in the context of quantum gravity is one of the fundamental problems in theoretical physics. Now, a team of experts from the Institute of Cosmos Sciences of the University of Barcelona (ICCUB) has described for the first time the creation of regular black holes from gravitational effects and without the need for the existence of exotic matter required by some previous models.

Is it possible to tile a surface with a single shape in such a way that the pattern never repeats itself? In 2022, a mathematical solution to this “einstein problem” was discovered for the first time. Empa researchers have now also found a chemical solution: a molecule that arranges itself into complex, non-repeating patterns on a surface. The resulting aperiodic layer could even exhibit novel physical properties.

The National University of Singapore’s Institute for Functional Intelligent Materials (NUS I-FIM) is organising AI4X 2025 for leading researchers, innovators, and industry experts to explore how Artificial Intelligence (AI) is driving breakthroughs across Physics, Chemistry, Biology, Climate Science, Materials Science, Mathematics, Finance, and more. The conference, which will be held in Singapore on 8 – 11 July 2025, aims to bolster and refine the use of AI research in Natural Sciences, technology and beyond, thereby accelerating scientific discovery and translational potential on all fronts.