A map of all chemicals that places compounds with similar properties next to each other could speed up the process of discovery for everything from drugs to materials.
Earlier this year, two-layer solar cells broke records with 33 percent efficiency. The cells are made of a combination of silicon and a material called a perovskite. However, these tandem solar cells are still far from the theoretical limit of around 45 percent efficiency, and they degrade quickly under sun exposure, making their usefulness limited.
The process of improving tandem solar cells involves the search for the perfect materials to layer on top of each other, with each capturing some of the sunlight the other is missing. One potential material for this is perovskites, which are defined by their peculiar rhombus-in-a-cube crystal structure. This structure can be adopted by many chemicals in a variety of proportions. To make a good candidate for tandem solar cells, the combination of chemicals needs to have the right bandgap—the property responsible for absorbing the right part of the sun’s spectrum—be stable at normal temperatures, and, most challengingly, not degrade under illumination.
The number of possible perovskite materials is vast, and predicting the properties that a given chemical composition will have is very difficult. Trying all the possibilities out in the lab is prohibitively costly and time-consuming. To accelerate the search for the ideal perovskite, researchers at North Carolina State University decided to enlist the help of robots.
Fermionic atoms adhere to the Pauli exclusion principle, preventing more than one from simultaneously being in the same quantum state. As a result, they are perfect for modeling systems like molecules, superconductors, and quark-gluon plasmas where fermionic statistics are critical.
Using fermionic atoms, scientists from Austria and the USA have designed a new quantum computer to simulate complex physical systems. The processor uses programmable neutral atom arrays and has hardware-efficient fermionic gates for modeling fermionic models.
The group, under the direction of Peter Zoller, showed how the new quantum processor can simulate fermionic models from quantum chemistry and particle physics with great accuracy.
Researchers from the University of Cambridge have unveiled a surprising discovery that holds the potential to reshape the landscape of electrochemical devices. This new insight opens the door for the creation of cutting-edge materials and paves the way for enhancements in sectors like energy storage, neuromorphic computing, and bioelectronics.
Electrochemical devices rely on the movement of charged particles, both ions, and electrons, to function properly. However, understanding how these charged particles move together has presented a significant challenge, hindering progress in creating new materials for these devices.
In the rapidly evolving field of bioelectronics, soft conductive materials known as conjugated polymers are used for developing medical devices that can be used outside of traditional clinical settings. For example, this type of material can be used to make wearable sensors that monitor patients’ health remotely or implantable devices that actively treat disease.
Researchers from Austria and the U.S. have designed a new type of quantum computer that uses fermionic atoms to simulate complex physical systems. The processor uses programmable neutral atom arrays and is capable of simulating fermionic models in a hardware-efficient manner using fermionic gates.
The team led by Peter Zoller demonstrated how the new quantum processor can efficiently simulate fermionic models from quantum chemistry and particle physics. The paper is published in the journal Proceedings of the National Academy of Sciences.
Fermionic atoms are atoms that obey the Pauli exclusion principle, which means that no two of them can occupy the same quantum state simultaneously. This makes them ideal for simulating systems where fermionic statistics play a crucial role, such as molecules, superconductors and quark-gluon plasmas.
Imagine a person on the ground guiding an airborne drone that harnesses its energy from a laser beam, eliminating the need for carrying a bulky onboard battery.
That is the vision of a group of CU Boulder scientists from the Hayward Research Group. In a new study, the Department of Chemical and Biological Engineering researchers have developed a novel and resilient photomechanical material that can transform light energy into mechanical work without heat or electricity, offering innovative possibilities for energy-efficient, wireless and remotely controlled systems. Its wide-ranging potential spans across diverse industries, including robotics, aerospace and biomedical devices.
In a new study published in Nature Materials, the Hayward Research Group has developed a novel and resilient photomechanical material that can transform light energy into mechanical work without heat or electricity. The photomechanical materials offer a promising alternative to electrically-wired actuators, with the potential to wirelessly control or power robots or vehicles, such as powering a drone with a laser beam instead of a bulky on-board battery.
Step forward platelet factor 4 (PF4): this substance in the blood has been linked to the mental boost we get from exercise, the benefits of blood transfusions, and a protein associated with longevity, in three separate studies.
All three processes promote cognitive enhancement, meaning PF4 is something of a superpowered blood factor. The research was carried out by two teams from the University of California San Francisco (UCSF) in the US and the University of Queensland in Australia.
Platelets are cell fragments that play a critical role in the clotting process. Aside from serving as physical plugs that staunch bleeding, these small, non-nucleated chunks of bone marrow cell contain granules that release chemicals to promote aggregation.
A molecule common to Earth and usually associated with life has been detected in the depths of space by scientists.
Carbonic acid (HOCOOH), which you may know as the chemical that makes your soda fizzy, was discovered lurking near the center of our galaxy in a galactic center molecular cloud named G+0.693–0.027, a study published in The Astrophysical Journal revealed.
This marks the third time that carboxylic acids—this class of chemicals, often thought to be some of the building blocks of life —have been detected in space, after acetic acid and formic, and the first time that an interstellar molecule has been found to contain three or more oxygen atoms.
Almost all forms of modern consumer technology are powered by electrochemical energy, otherwise known as batteries. Lithium-ion batteries, for example, transform chemical reactions into direct current energy while also producing a few side effects (mainly heat). But what if there was another way to power gadgets—say, lasers?
That’s the idea behind new research from the Department of Chemical and Biological Engineering and CU-Boulder. In a new study published this month in the journal Nature Materials, the team—led by chemical and electrical engineering professor Ryan Hayward—explored ways to leverage tiny crystals and directly transform light into mechanical work. At scale, such a breakthrough could remove the need for bulky batteries and all of the thermal management that comes with it.
People living in dry but foggy areas can benefit from this technology.
Researchers from ETH Zurich have developed a system that captures fog in the atmosphere and simultaneously removes contaminants while running using solar power.
The harvesting and water treatment system consists of a metal wire mesh with a solar-light-activated reactive coating that captures the fog. The droplets of water then trickle down into a container below. The mesh is coated with a mixture of specially selected polymers and titanium dioxide, which acts as a chemical catalyst and breaks down the molecules of the pollutants into harmless particles.
