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Category: solar power

Researchers push back fundamental limit on energy transfer between particles without ‘spilling’ radiation

Researchers at TU/e have demonstrated that energy transfer without loss via light or heat can occur over much greater distances than previously thought possible thanks to vibrations in microscopic gold rods. They succeeded in making energy jump from one particle to another over a distance of several millimeters without “spilling” energy along the way.

In the microscopic world in which this research takes place, that is a giant leap, with promising applications in quantum communication, solar energy, and ultrasensitive medical sensors. The researchers have published their findings in the journal Science Advances.

Normally, a molecule that absorbs energy loses it again as heat through vibrations passed on to the surrounding environment or as a particle of light (known as a photon). In Förster resonance energy transfer (or FRET for short, which is named after the German physicist Theodor Förster), something different happens: the energy jumps directly, without radiation, from one molecule to a specific neighboring molecule through an invisible interaction between their electric fields.

Supercharging solar cells: Quantum dot-molecule hybrid states enable near-maximum efficiency

Solar panels have become more efficient over the years, but even the best designs still lose a large fraction of the energy they absorb. Scientists around the world have been searching for ways to capture more energy from every ray of sunlight and unlock the true potential of solar technology.

In a study published in Nature Photonics, researchers from the University of Osaka and collaborating institutions identified a new mechanism that could help us do exactly that. The study shows how specially designed combinations of molecules and quantum dots can be used to dramatically increase solar cell efficiency beyond currently known limits.

Singlet exciton fission is a photophysical phenomenon in which one particle of light creates two excited energy states instead of one. In theory, this allows solar cells to generate more electricity from the same amount of sunlight. However, the most effective photophysical processes require extra energy and are usually inefficient and difficult to control.

AI speeds up discovery of next-gen computer chips and electronic materials

An international study team, led by Flinders University in collaboration with Khalifa University UAE, built the machine-learning platform to act like a “smart materials discovery engine,” which is capable of dramatically reducing the time spent on complex computer or lab experiments to test and find new materials for future semiconductors.

Semiconductors are used in high-tech applications from wearable electronics, communication systems and smartphones to medical and LED devices and solar panels.

“The challenge is that there are millions of possible material combinations, and testing them one by one in the laboratory or with complex computer simulations is extremely slow and expensive,” says Flinders University ARC Future Fellow Associate Professor Vi-Khanh Truong, lead author of a new article in ACS Materials Letters, titled “Bayesian optimization-guided discovery of gallium-containing semiconductors with targeted band gaps.”

MIT researchers use AI to uncover atomic defects in materials

In biology, defects are generally bad. But in materials science, defects can be intentionally tuned to give materials useful new properties. Today, atomic-scale defects are carefully introduced during the manufacturing process of products like steel, semiconductors, and solar cells to help improve strength, control electrical conductivity, optimize performance, and more.

But even as defects have become a powerful tool, accurately measuring different types of defects and their concentrations in finished products has been challenging, especially without cutting open or damaging the final material. Without knowing what defects are in their materials, engineers risk making products that perform poorly or have unintended properties.

Now, MIT researchers have built an AI model capable of classifying and quantifying certain defects using data from a noninvasive neutron-scattering technique. The model, which was trained on 2,000 different semiconductor materials, can detect up to six kinds of point defects in a material simultaneously, something that would be impossible using conventional techniques alone.

Orbital Data Centers: Power and Thermal Management for Scalable Architectures

Redwire’s latest whitepaper examines the challenges and opportunities associated with scaling orbital data centers (ODCs), with a focus on power generation and thermal management. ODCs could eventually surpass terrestrial data centers by leveraging abundant solar energy in space and avoiding Earth-based infrastructure limitations.

The whitepaper examines the scaling of power and thermal systems for ODCs within a single-spacecraft architecture and highlights how the future success of ODCs will depend on treating power and thermal management as primary architectural drivers from the earliest stages of design.

Drawing on decades of Redwire’s spaceflight heritage in deployable structures, high-power solar arrays, and thermal management systems, the in-depth study also highlights how existing flight-proven technologies can support practical and scalable orbital compute architectures.

Perovskite/silicon tandem solar cells reach 32.89% certified efficiency with peak-selective passivation strategy

A team of Chinese scientists has developed a new passivation strategy that significantly improves both the efficiency and operational stability of perovskite/silicon tandem solar cells. The study has been published in the journal Matter on May 21.

Perovskite/silicon tandem solar cells combine a top perovskite layer, which efficiently converts sunlight into electricity, with a silicon bottom substrate. These solar cells hold great potential for lightweight, high-efficiency applications in the photovoltaic field, with the current world efficiency record reaching 35.0%.

However, the pyramid-textured surface of industrial silicon substrates makes it difficult to deposit a uniform perovskite top layer, which often leads to localized electrical leakage and thus limits the commercial prospects of these tandem cells.

Careful crystallization unlocks well-ordered perovskite layers for transistors

Perovskites are a class of materials with a unique crystal structure that suits applications such as fabricating solar cells, light-emitting diodes and transistors. However, molecules in thin layers often cannot arrange themselves properly because the process proceeds too quickly. Now, an international research team led by Tomasz Marszalek from the Max Planck Institute for Polymer Research has developed a new approach to controlling low-cost solution processing, thereby improving the formation of well-ordered perovskite layers and enabling their broader application in optoelectronic devices. Their paper is published in the Journal of the American Chemical Society.

Electronics can be found in almost every device, from smartphones and televisions to washing machines. Field-effect transistors are the main building blocks of electronic circuits, and they ensure that these devices can be easily operated and fully controlled. Perovskites are a new class of semiconductor that could be suitable for transistor applications. They contain various chemical elements, such as organic cations, divalent metal cations, and halide anions. This combination of elements enables the properties of thin perovskite films to be tailored precisely for specific applications.

Currently, their use in transistors is often unsuccessful due to a lack of control over the formation of the thin film, known as nucleation and crystallization. Therefore, researchers are attempting to organize the materials into thin, two-dimensional layers and stabilize them with organic molecules between the inorganic layers in order to control their optoelectronic properties.

How wasted infrared light could boost solar panels, night vision and 3D printing

Researchers at UNSW Sydney have developed a nanoscale device that converts low-energy infrared and red light into higher-energy visible light, a breakthrough that could eventually improve solar panels, sensing technologies, and advanced manufacturing systems.

Published in Nature Photonics, the research addresses a longstanding problem in photonics: how to stop energy from being lost before it can be used.

That mechanism allowed the device to achieve photon conversion efficiencies of 8.2%, among the strongest reported for this type of architecture.

Scientists develop near-invisible solar cells that could turn windows into power generators

Imagine a car whose windows and sunroof can help top up its battery while parked under the sun, or a pair of smart glasses whose lenses can harvest light to power built-in electronics.

Such applications could become more feasible with a new type of ultrathin transparent solar cell developed by scientists from Nanyang Technological University, Singapore (NTU Singapore).

Led by Associate Professor Annalisa Bruno, the NTU researchers created perovskite solar cells that are about 10,000 times thinner than a strand of human hair and around 50 times thinner than conventional perovskite solar cells.

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