Physics

Near-perfect performance in low-cost semiconductors

Researchers redefine what it means for low-cost semiconductors, called quantum dots, to be near-perfect and find that quantum dots meet quality standards set by more expensive alternatives.

Nanocrystal 'factory' could revolutionize quantum dot manufacturing

A new system for synthesizing quantum dots across the entire spectrum of visible light drastically reduces manufacturing costs, can be tuned on demand to any color and allows for real-time process monitoring to ensure quality control.

Quantum sensing method measures minuscule magnetic fields

A new technique uses quantum sensors to enable precise measurements of magnetic fields in different directions.

Research set to shake up space missions

A new study has found a number of 2D materials can not only withstand being sent into space, but potentially thrive in the harsh conditions.

Design and validation of world-class multilayered thermal emitter using machine learning

Scientists designed a multilayered metamaterial that realizes ultra-narrowband wavelength-selective thermal emission by combining the machine learning (Bayesian optimization) and thermal emission properties calculations (electromagnetic calculation). The joint team then experimentally fabricated the designed metamaterial and verified the performance. These results may facilitate the development of highly efficient energy devices.

Quantum sensing method measures minuscule magnetic fields

A new way of measuring atomic-scale magnetic fields with great precision, not only up and down but sideways as well, has been developed by researchers at MIT. The new tool could be useful in applications as diverse as mapping the electrical impulses inside a firing neuron, characterizing new magnetic materials, and probing exotic quantum physical phenomena.

Exploring the behavior of a gas as it transitions between quantum and classical states

A team of researchers from the MIT-Harvard Center for Ultracold Atoms has developed a way to study and measure gases as they transition between quantum and classical states due to changes in temperature. In their paper published in the journal Physical Review Letters, the group describes experiments they carried out with clouds of lithium-6 atoms and what they found.

Artificial intelligence learns to predict elementary particle signals

Scientists from the Higher School of Economics and Yandex have developed a method that accelerates the simulation of processes at the Large Hadron Collider (LHC). The research findings were published in Nuclear Instruments and Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment.

Sea quark surprise reveals deeper complexity in proton spin puzzle

New data from the STAR experiment at the Relativistic Heavy Ion Collider (RHIC) add detail—and complexity—to an intriguing puzzle that scientists have been seeking to solve: how the building blocks that make up a proton contribute to its spin. The results, just published as a rapid communication in the journal Physical Review D, reveal definitively for the first time that different "flavors" of antiquarks contribute differently to the proton's overall spin—and in a way that's opposite to those flavors' relative abundance.

Sea quark surprise reveals deeper complexity in proton spin puzzle

New data from the STAR experiment at the Relativistic Heavy Ion Collider (RHIC) add detail -- and complexity -- to an intriguing puzzle that scientists have been seeking to solve: how the building blocks that make up a proton contribute to its spin. The results reveal that different 'flavors' of antiquarks contribute differently to the proton's overall spin -- and in a way that's opposite to those flavors' relative abundance.

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