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New driving model predicts split-second crash avoidance with humanlike accuracy

Scientists at Delft University of Technology, in collaboration with Waymo, have developed a new model that predicts with high accuracy how human drivers respond to dangerous traffic situations. For the first time, different types of collision avoidance behavior are combined into a single model. The results will be published on 10 June in Nature Communications. Waymo is already using the model to compare the performance of its autonomous vehicles with that of human drivers.

When a leading vehicle suddenly brakes or an oncoming car unexpectedly enters your lane, you have only fractions of a second to decide whether to brake, swerve or both. “Existing models typically describe only part of this process, such as reaction time or steering behavior,” says Arkady Zgonnikov, assistant professor at Delft University of Technology (The Netherlands). “Our new model brings all these components together.”

The model integrates perception, decision-making and execution into a single coherent framework. As a result, it can detect when a situation becomes dangerous, predict how the traffic situation is likely to evolve and simultaneously determine the most effective avoidance strategy.

Light-activated compound kills antibiotic-resistant bacteria by turning its own defense enzyme against it

Antibiotic resistance is becoming an accelerating crisis because of the overuse and misuse of antibiotics over many years. The problem is exacerbated when antibiotics wipe out susceptible bacteria but leave resistant bacteria behind to multiply, further spreading resistance. There is an ongoing search for new treatments to fight resistant bacteria, and now researchers may have found a way to successfully treat at least one type of resistant bacteria.

A new study, published in the journal Proceedings of the National Academy of Sciences, describes the design of a compound capable of destroying Gram-positive MRSA that produces β-lactamase when activated by light.

Plutonium compound unlocks rare topological quantum behavior with potential nuclear science applications

Plutonium is one of the most complex elements in the periodic table. First synthesized and isolated in 1940 by scientists at the University of California, Berkeley, plutonium has been studied closely for more than eight decades. It’s most often associated with its role in nuclear security, but it’s also vital to nuclear power, where it is produced in reactors and can be recycled as fuel. Despite plutonium’s importance, some of its most fundamental behaviors remain a mystery.

Scientists at the Idaho National Laboratory (INL) have made an important discovery: A compound called plutonium hexaboride (PuB₆) exhibits a one-of-a-kind quantum property known as a topological Kondo insulating state. Published in Physical Review Research, this finding marks one of only a handful of times such behavior has been observed in a plutonium material—opening a new window for research into how some of nature’s most complex elements actually work.

First-of-a-kind laser spring opens up new avenues for plasma control

When a high-intensity laser interacts with plasma, the charged particles typically oscillate back and forth like waves on the ocean. But what if the laser itself could twist like a whirlpool? Researchers have now demonstrated a rotating, spring-shaped laser pulse, opening new possibilities for fusion energy, particle acceleration, astrophysics and beyond.

In new research published in Nature Photonics, scientists from Lawrence Livermore National Laboratory (LLNL) and the University of California, Irvine, demonstrated the first high-intensity “light spring” laser.

Unlike conventional laser beams, a light spring rotates around its central axis at a controllable rate. If shone onto a wall, the beam pattern would trace out circles over time.

Rare inner ear cells point to regenerative hearing treatments

A study by a team of researchers from the Gray Faculty of Medical and Health Sciences at Tel Aviv University offers new hope to millions of people with irreversible hearing loss. The researchers identified a unique biological mechanism that could, in the future, enable the regeneration of sensory hair cells in the inner ear—a process previously thought impossible in humans.

The study was conducted under the leadership of Prof. Karen Avraham, dean of the Gray Faculty of Medical and Health Sciences and Drs. Sarah and Felix Dumont Chair for Research of Hearing Disorders. It was spearheaded by Lama Khalaily, a Tel Aviv University doctoral student, in collaboration with Prof. David Sprinzak of TAU’s Wise Faculty of Life Sciences, Shahar Kasirer from Sprinzak’s laboratory, Dr. Litao Tao of Creighton University in Omaha, and additional researchers. The findings are published in the journal Science Advances.

New superconductors identified, unlocking process that could yield thousands more

An international team of quantum researchers has shown how machine learning can be used to filter a practically infinite number of possible material combinations to identify candidates for superconductivity. Thanks to the breakthrough, new superconductors can now be found much faster, says Aalto University Professor Päivi Törmä, who leads the SuperC consortium behind the research.

Superconductors carry electric current with zero resistance, thanks to a quantum effect appearing only at extremely low temperatures. They power not only quantum computers but many other things, from neuroimaging to fusion reactors and maglev trains.

However, these unicorn materials are prohibitively hard to identify. Any endlessly variable combination of elements could be a superconductor—yet few actually are. And the ones already discovered require expensive cooling equipment to bring them to the near-absolute-zero temperatures that give them their quantum properties.

Disorder creates direction-dependent optics in compound semiconductors

An international research team has demonstrated that the intrinsic disorder of the compound semiconductor CuInSnS₄ can be exploited to influence its optical properties. While the atomic vibrations also sense the local disorder, their response is averaged over many different local environments and therefore appears isotropic, as expected for a cubic crystal.

In contrast, the optical excitations, known as excitons, are much more sensitive to the local arrangement of atoms. Surprisingly, they show a direction-dependent optical response even though the average crystal structure is cubic. These findings shed new light on the relationship between disorder and material properties, opening new options for targeted “disorder engineering” in optoelectronic and photocatalytic devices.

Crystals are typically characterized by a periodic arrangement of atoms, in which each element occupies well-defined crystallographic sites throughout the structure. In compound semiconductors such as CuInSnS₄, a member of the adamantine chalcogenide family, the cations are ideally distributed over specific positions in the crystal structure.

World’s largest particle smasher halts for upgrade to boost hunt for dark matter

The world’s most powerful particle accelerator will shutter operations Monday for four years of renovations to dramatically boost its collision capacity and the potential for unlocking one of the greatest mysteries of the universe: dark matter.

The Large Hadron Collider (LHC)—a 27-kilometer (17-mile) proton-smashing circular tunnel at the heart of Europe’s physics lab CERN near Geneva—has most famously been used to prove the existence of the Higgs boson, dubbed “the God particle.”

In the tunnel, running about 100 meters (330 feet) below the French-Swiss border area, superconducting magnets and accelerating structures propel particles to extreme energies and then smash them together at phenomenal speeds.

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