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Pioneering software called ACE3P was developed almost a quarter century ago to fine-tune the design of particle accelerators and their components. Now its latest incarnation is being adapted for scientific supercomputing and manufacturing design, thanks to partnerships between two companies and DOE's SLAC National Accelerator Laboratory.

Scientists have developed a fully recyclable and biodegradable printed circuit. The advance could divert wearable devices and other flexible electronics from landfill, and mitigate the health and environmental hazards posed by heavy metal waste.

A new study on rubisco, a photosynthetic enzyme thought to be the most abundant protein on the planet, shows that proteins can change their structural arrangement with surprising ease. The findings reveal the possibility that many of the proteins we thought we knew actually exist in other, unknown shapes.

Researchers at Berkeley Lab recently unveiled a new, fast, and readily reproducible way to map and identify defects in two-dimensional materials. The method could dramatically reduce the time required to characterize two-dimensional materials and use them in next-generation quantum and electronic devices.

To capture as much information as possible about clouds of atoms at the heart of the MAGIS-100 experiment, SLAC scientists devised a dome of mirrors that gathers more light from more angles.

Researchers used circularly polarized laser light to systematically probe the phase transition in which a topological insulator (TI) loses its quantum properties and becomes an ordinary insulator. The spiraling laser light generated harmonics – much like the vibrations of a plucked guitar string – from the material they were examining, which made it easy to distinguish what was happening on the TI's conductive surface and its insulating interior as one state gave way to the other.

Wind energy continues to see strong growth, solid performance, and attractive prices in the U.S., according to a report released by the U.S. Department of Energy (DOE) and prepared by Lawrence Berkeley National Laboratory (Berkeley Lab).

Researchers at the Advanced Quantum Testbed (AQT) at Berkeley Lab, in partnership with the startup Super.tech (acquired by ColdQuanta), demonstrated how a smart compiler specifically tailored for superconducting quantum hardware can optimize circuits and networks and execute less error-prone quantum algorithms such as Quantum Approximate Optimization Algorithm (QAOA) important for quantum computing.

Scientists embedded elementary particles called muons into a many-layered nickel oxide superconductor to learn more about its magnetic properties. They discovered that waves of flip-flopping electron spins create magnetic excitations that sweep through the nickel layer of the compound whether it’s superconducting or not. This is in sharp contrast to what happens in the best-known family of unconventional superconductors, the cuprates, and offers another valuable clue to how these materials can carry electric current with no loss.