The “chemical cocktail” helped reverse aging in mice, but some experts are skeptical about whether it will work in humans.
A potential new way to protect sensitive electronics from the extreme heat generated by flying at high speed could give the United States an edge in the race to deploy hypersonic missiles and new spacecraft.
A July research paper in the American Chemical Society’s journal ACS Nano describes one potential solution that uses focused plasma, the photons and highly charged particles that make up the so-called fourth state of matter. If the method bears out in further research, it could usher in hypersonic weapons with much more advanced electronic guidance and could even enable on-the-ground weapons to evade heat sensors.
The breakthrough grew out of efforts to use a laser to measure the temperature of electronics in plasma-facing environments, work the Air Force is supporting through a grant at the University of Virginia, said professor Patrick Hopkins, one of the researchers on the paper.
This story is part of a series on the current progression in Regenerative Medicine. In 1999, I defined regenerative medicine as the collection of interventions that restore to normal function tissues and organs that have been damaged by disease, injured by trauma, or worn by time. I include a full spectrum of chemical, gene, and protein-based medicines, cell-based therapies, and biomechanical interventions that achieve that goal.
As part of a trio of stories on advances in stem cell gene therapy, this piece discusses how to alter blood stem cells using mRNA technology. Previous installments describe how the same platform could reinvent how we prepare patients for bone marrow transplants and correct pathogenic DNA.
At present, the only way to cure genetic blood disorders such as sickle cell anemia and thalassemia is to reset the immune system with a stem cell transplantation. Only a fraction of patients elects this procedure, as the process is fraught with significant risks, including toxicity and transplant rejection. A preclinical study published in Science explores a solution that may be less toxic yet equally effective: mRNA technology. The cell culture and mouse model experiments offer a compelling avenue for future research to enhance or replace current stem cell transplantations altogether.
Scientists have created one of the most detailed 3D images of the synapse.
A synapse is a specialized junction between nerve cells that allows for the transfer of electrical or chemical signals, through the release of neurotransmitters by the presynaptic neuron and the binding of receptors on the postsynaptic neuron. It plays a key role in communication between neurons and in various physiological processes including perception, movement, and memory.
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.
