Physicists have uncovered surprising order inside one of the most puzzling states in modern materials science. It is a strange middle ground where electrons begin to behave differently, but full superconductivity has not yet taken hold.
Instead of falling into disorder, the system retains coordinated patterns right at the point where normal electrical behavior starts to break down. The finding suggests this transition is guided by an underlying structure, not randomness.
Scientists say a real warp drive may no longer be pure science fiction, thanks to new breakthroughs in theoretical physics. Recent studies suggest space itself could be compressed and expanded, allowing faster-than-light travel without breaking known laws of physics. Unlike sci-fi engines, this concept wouldn’t move a ship through space — it would move space around the ship. Researchers are now exploring how energy, gravity, and exotic matter could make this possible. In this video, we explain how a warp drive could work and how close science really is.
For the first time, physicists in China have virtually eliminated the friction felt between two surfaces at scales visible to the naked eye. In demonstrating “structural superlubricity,” the team, led by Quanshui Zheng at Tsinghua University, have resolved a long-standing debate surrounding the possibility of the effect. Published in Physical Review Letters, the result could potentially lead to promising new advances in engineering.
When two objects slide over each other, any roughness on their surfaces will almost inevitably resist the motion, creating the force of friction. Yet in 2004, physicists showed that friction can be virtually eliminated between two graphite surfaces, simply by rotating their respective molecular structures.
Named structural superlubricity (SSL), the effect is highly desired by engineers; in principle, allowing them to eliminate wear on both surfaces and minimize energy lost as waste heat.
Calculations show how the mysterious “magic numbers” that stabilize nuclear structures emerge naturally from nuclear forces—once these are described with appropriate spatial resolution.
Atomic nuclei have been studied for over a century, yet some of nuclear physics’ most basic questions remain unanswered: How many bound combinations of protons and neutrons, or isotopes, can exist? Where do the limits of nuclear existence lie? How are chemical elements synthetized in the Universe? Clues to solving these puzzles lie in the vast phenomenology of nuclear structure—the measured properties of tens of thousands of nuclear states, their decays, and their reactions. In this bedlam of information, patterns and irregularities in data provide crucial hints. One such irregularity was spotted as early as 1934 [1]: Nuclei containing specific numbers of protons and neutrons (2, 8, 20, 28, 50, 82…) are unexpectedly stable. These “magic numbers” (Fig.
Plasma mirrors capable of withstanding the intensity of powerful lasers are being designed through an emerging machine learning framework. Researchers in Physics and Computer Science at the University of Strathclyde have pooled their knowledge of lasers and artificial intelligence to produce a technology that can dramatically reduce the time it takes to design advanced optical components for lasers—and could pave the way for new discoveries in science.
High-power lasers can be used to develop tools for health care, manufacturing and nuclear fusion. However, these are becoming large and expensive due to the size of their optical components, which is currently necessary to keep the laser beam intensity low enough not to damage them. As the peak power of lasers increases, the diameters of mirrors and other optical components will need to rise from approximately one meter to more than 10 meters. These would weigh several tons, making them difficult and expensive to manufacture.
Many fans expected Valve to announce Half-Life 3 in 2025, and Gabe Follower believes the news was delayed, which was the reason the second edition of Half-Life 2: Raising the Bar was postponed: he thinks the book will be out once the game is revealed.
For now, we can get glimpses of HL3 features in the updates to Valve’s Source 2 engine. Based on mentions of HLX in the code, Gabe Follower says that the game will offer dynamic physics and gravitational anomalies, where gravity no longer pulls objects in one direction but can be tied to a point, making objects’ gravitational pulls affect each other.
Characters will now have more accurate hitboxes that adjust to their limbs instead of simple boxes.
Astronomers have found thousands of exoplanets around single stars, but few around binary stars—even though both types of stars are equally common. Physicists can now explain the dearth.
Of the more than 4,500 stars known to have planets, one puzzling statistic stands out. Even though nearly all stars are expected to have planets and most stars form in pairs, planets that orbit both stars in a pair are rare.
Of the more than 6,000 extrasolar planets, or exoplanets, confirmed to date—most of them found by NASA’s Kepler Space Telescope and the Transiting Exoplanet Survey Satellite (TESS)—only 14 are observed to orbit binary stars. There should be hundreds. Where are all the planets with two suns, like Tatooine in Star Wars?
A novel apparatus at the U.S. Department of Energy’s (DOE) Argonne National Laboratory has made extremely precise measurements of unstable ruthenium nuclei. The measurements are a significant milestone in nuclear physics because they closely match predictions made by sophisticated nuclear models.
“It’s very difficult for theoretical models to predict the properties of complex, unstable nuclei,” said Bernhard Maass, an assistant physicist at Argonne and the study’s lead author. “We have demonstrated that a class of advanced models can do this accurately. Our results help to validate the models.”
Validating the models can build trust in their predictions about astrophysical processes. These include the formation, evolution and explosions of stars where elements are created.
Dr. Leonardos Gkouvelis, researcher at LMU’s University Observatory Munich and member of the ORIGINS Excellence Cluster, has solved a fundamental mathematical problem that had obstructed the interpretation of exoplanet atmospheres for decades. In a paper published in The Astrophysical Journal, Gkouvelis presents the first closed-form analytical theory of transmission spectroscopy that accounts for how atmospheric opacity varies with pressure—an effect that is crucial in the scientific exploration of real atmospheres but had until now been considered mathematically intractable.
For more than 30 years, analytical models were based on a “simplified” atmosphere, as the full mathematical treatment requires solving a complex geometric integral in the presence of altitude-dependent opacity—a problem that could only be tackled using expensive numerical simulations. However, this limitation concealed how the true vertical structure of an atmosphere alters the signals observed by telescopes.
The new model provides key insights into why many exoplanet atmospheres display “muted” spectral features, directly links laboratory molecular-physics data with astronomical observations, and significantly improves agreement with real data—both for Earth’s atmosphere and for high-precision observations of exoplanets.