skip to content

Energy

Interdisciplinary Research Centre
 

Researchers uncover key insights into CO2 reduction using SnO-based electrocatalysts

The less carbon dioxide polluting our air, the better. Researchers are investigating non-toxic, low-cost electrocatalysts to turn our sustainability goals into reality.

Environmental impact of unexploded ordnance in the Baltic Sea

The south-western Baltic Sea has about 3,000 kilograms of dissolved toxic chemicals released from unexploded ordnance, according to a new study. The substances were detected in almost all water samples taken in 2017 and 2018, with particularly high concentrations in the Bights of Kiel and L beck. The levels are still below thresholds for health risk, but highlight the urgent need for munitions clearance to minimize long-term risks.

Time interfaces: The gateway to four-dimensional quantum optics

A new study explores the behavior of photons, the elementary particles of light, as they encounter boundaries where material properties change rapidly over time. This research uncovers remarkable quantum optical phenomena which may enhance quantum technology and paves the road for an exciting nascent field: four-dimensional quantum optics.

Protein design: Flexible components allow new architectures

Biophysicists have elucidated why unexpected structures can sometimes arise during protein design.

Novel photochromic glass can store rewritable 3D patterns long term

For decades researchers have been exploring how to store data in glass because of its potential to hold information for a long time -- eons -- without applying power. A special type of glass that changes color in different wavelengths of light, called photochromic glass, holds promise for stable, reusable data storage. Now, researchers have developed a doped photochromic glass that has the potential to store rewritable data indefinitely.

Some fuel lodges in the inner walls of fusion vessels: Researchers now have a better idea of how much

New research offers insights that could help reduce the amount of radioactive tritium embedded in the walls of fusion vessels to a minimum.

Multiplexing entanglement in a quantum network

Researchers use rare-earth ions to achieve the first-ever demonstration of entanglement multiplexing between individual memory qubits in a quantum network.

Sacrificial scaffolding helps new hydrogels heal quickly

Researchers have developed a hydrogel that heals and strengthens itself as it is overloaded and damaged. The proof-of-concept demonstration could lead to improved performance for situations where soft but durable materials are required, such as load-bearing connections and joints within machines, robots and even people.

What can theoretical physics teach us about knitting?

Physicists bring unprecedented levels of predictability to the ancient practice of knitting by developing a mathematical model that could be used to create a new class of lightweight, ultra-strong materials.

New method developed to dramatically enhance bioelectronic sensors

In a breakthrough that could transform bioelectronic sensing, an interdisciplinary team of researchers has developed a new method to dramatically enhance the sensitivity of enzymatic and microbial fuel cells using organic electrochemical transistors (OECTs).

Toward high electro-optic performance in III-V semiconductors

From integrated photonics to quantum information science, the ability to control light with electric fields -- a phenomenon known as the electro-optic effect -- supports vital applications such as light modulation and frequency transduction. These components rely on nonlinear optical materials, in which light waves can be manipulated by applying electric fields.

Automatic cell analysis with the help of artificial intelligence

Identifying and delineating cell structures in microscopy images is crucial for understanding the complex processes of life. This task is called 'segmentation' and it enables a range of applications, such as analyzing the reaction of cells to drug treatments, or comparing cell structures in different genotypes. It was already possible to carry out automatic segmentation of those biological structures but the dedicated methods only worked in specific conditions and adapting them to new conditions was costly. An international research team has now developed a method by retraining the existing AI-based software Segment Anything on over 17,000 microscopy images with over 2 million structures annotated by hand.

Lunar Trailblazer blasts off to map water on the moon

On Wednesday 26 February, a thermal imaging camera blasted off to the Moon as part of NASA's Lunar Trailblazer mission. This aims to map sources of water on the Moon to shed light on the lunar water cycle and to guide future robotic and human missions.

New insights into efficient water splitting

A new study has revealed key factors limiting the efficiency of photoelectrochemical water splitting using a titanium dioxide photoanode for clean hydrogen production. Researchers combined intensity-modulated photocurrent spectroscopy with the distribution of relaxation times analysis to analyze charge carrier dynamics. They identified distinct behaviors related to light intensity and recombination at different applied potentials and discovered a previously unreported 'satellite peak,' offering new insights for improving material design and hydrogen production efficiency.

Rising wages drive innovation in automation technology

Labor market policies shape firms' innovation dynamics. A new study shows for the first time that higher minimum wages for low-skill jobs drive firms to develop automation technologies. Rising wages for high-skill labor, in contrast, can hamper this effect.

Mesoporous silicon: Semiconductor with new talents

Silicon is the best-known semiconductor material. However, controlled nanostructuring drastically alters the material's properties. Using a specially developed etching apparatus, a team has now produced mesoporous silicon layers with countless tiny pores and investigated their electrical and thermal conductivity. For the first time, the researchers elucidated the electronic transport mechanism in this mesoporous silicon. The material has great potential for applications and could also be used to thermally insulate qubits for quantum computers.

From defect to high-tech material

Cadmium selenide nanoplatelets provide a promising foundation for the development of innovative electronic materials. Since the turn of the millennium, researchers around the world have taken a particular interest in these tiny platelets, which are only a few atoms thick, as they offer extraordinary optical and other properties. A team has now taken an important step towards the systematic production of such nanoplatelets.

A completely new type of microscopy based on quantum sensors

Researchers have invented an entirely new field of microscopy -- nuclear spin microscopy. The team can visualize magnetic signals of nuclear magnetic resonance with a microscope. Quantum sensors convert the signals into light, enabling extremely high-resolution optical imaging.

Longest-runout undersea sediment flows analyzed in unprecedented detail

An international team of researchers has successfully captured the internal structure of the longest-runout sediment flow ever recorded on Earth. Using seismic measurements, the researchers have for the first time been able to analyze in detail the internal structure of these tens to hundreds of kilometers long turbidity currents -- an oceanographic phenomenon that has been studied for almost a century, but never directly observed. The new insights into the dynamics of these powerful currents will help improve risk assessments for underwater infrastructure, such as submarine cables, and refine models of sediment and carbon transport in the ocean.

A new model accurately predicts the movement of elite athletes to catch the ball in parabolic flight

How does a tennis player like Carlos Alcaraz decide where to run to return Novak Djokovic's ball by just looking at the ball's initial position? These behaviours, so common in elite athletes, are difficult to explain with current computational models, which assume that the players must continuously follow the ball with their eyes. Now, researchers have developed a model that, by combining optical variables with environmental factors such as gravity, accurately predicts how a person will move to catch a moving object just from an initial glance. These results could have potential applications in fields such as robotics, sports training or even space exploration.