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Electrically tunable spin polarization in graphene opens path toward low-power spintronic devices

Researchers at the National Graphene Institute, in collaboration with the National University of Singapore, have shown that the magnetic behavior of electrons in graphene can be precisely controlled using electricity, revealing unusually large spin signals in a carefully engineered graphene system.

The study, published in Nature Communications, demonstrates how placing graphene close to a magnetic material can influence the spin of electrons without permanently altering graphene itself. By combining this magnetic proximity effect with graphene superlattices and operating at very low charge densities, the researchers were able to strongly tune how spins move through the material.

“This work shows that by combining graphene with nearby magnetic materials, we can gain a high level of control over electron spin using electrical signals alone,” said Dr. Daniel Burrow, from the University of Manchester. “In simple terms, we are learning how to pass information through graphene using the spin of electrons rather than their electrical charge.”

Reversible chirality switching in MoS₂ generates spin currents without magnets

A newly developed method allows researchers to dynamically switch chirality—a particular lack of mirror symmetry—to generate spin currents in semiconductors, researchers from Science Tokyo report. Their approach relies on the reversible insertion and removal of small chiral molecules from the interlayer gaps of a layered, nonchiral semiconductor material using electrochemistry.

The findings could pave the way for the development of novel chiral spintronic materials and technologies that do not rely on magnets or magnetic fields.

AI-driven optical tweezers sort hundreds of particles per hour without humans

Just as self-driving cars navigate traffic without a human behind the wheel, laboratory instruments are now being developed that can design, carry out and repeat experiments independently, 24 hours a day.

Researchers at the University of Gothenburg and other institutions have now developed an AI system capable of speeding up the operation of optical tweezers, dubbed SmartTrap. The work has been published in Nature Methods.

New plasma trick could unlock smaller, more powerful computer chips

Under carefully controlled conditions, particles within a plasma can strike the surface of a TMD material and knock atoms loose. The challenge is achieving enough energy to remove sulfur atoms from the top layer without harming the molybdenum layer beneath. Because the difference between success and damage is so small, developing a reliable process has proven difficult.

Using computer simulations, researchers found that treating molybdenum disulfide with oxygen or fluorine before plasma exposure can make the process much more controlled. Their findings were published in the Journal of Physical Chemistry Letters.

Quantum sensor overcomes major obstacle in search for dark matter and gravitational waves

A prototype quantum sensor developed by researchers at Imperial has demonstrated for the first time that a key principle behind next-generation quantum detectors can work under realistic conditions.

The study shows how comparing two long-baseline atom interferometers, instruments that use lasers to precisely measure the behavior of atoms, allows experimental noise to be effectively canceled.

This enables signals to be recovered even when individual measurements are overwhelmed and opens the door to searches for gravitational waves from the early universe and signatures of exotic forms of dark matter.

Quantum Computers Just Proved The Simulation Theory Is Terrifying

Time is something we experience every day, yet scientists still struggle to fully understand what it really is. Now, advances in quantum computing are allowing researchers to explore some of the deepest mysteries of physics—and the results are raising extraordinary questions about the nature of time itself.

By simulating complex quantum systems that were previously impossible to study, quantum computers are helping scientists test theories about causality, time reversal, and the strange behavior of particles at the quantum level. Some findings appear to challenge our most basic assumptions about how time works.

Researchers are investigating whether time is truly fundamental to the universe or whether it emerges from deeper physical processes we have yet to understand. These ideas may sound like science fiction, but they are being explored by some of the world’s leading physicists.

The implications are profound. If our understanding of time is incomplete, it could affect everything from cosmology and black holes to the future of computing and our understanding of reality itself.

In this video, we examine the groundbreaking quantum experiments, the theories they are testing, and why some scientists believe these discoveries could transform our view of the universe.

Watch until the end to uncover the most mind-bending implications of this research. Don’t forget to LIKE, SHARE, and SUBSCRIBE for more cutting-edge science, quantum mysteries, and incredible discoveries. Comment below: What do you think time really is?

Particle-Simulated Foam In Custom C++ Coastal System

Leonard Saalfrank, also known as OMYOG, has showcased a custom C++ coastal renderer created as a one-week rendering challenge, exploring real-time shoreline rendering, shallow-water simulation, and GPU-driven visual effects.

The project builds on his earlier water-rendering work for Ferocious and expands it with shallow-water waves, GPU-driven breaking waves, and particle-based foam supporting up to 300K GPU particles.

Above is a render handling over 6 million triangles across all passes, using 8K textures at 2K resolution, running at around 250 FPS on an RTX 4,090 Laptop GPU with GPU profiling enabled. Without capture and profiling overhead, performance reportedly increases to around 300 FPS.

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