This study reveals a novel method for screening materials for fusion reactors, aiming to enhance performance under extreme conditions.

Quantum machine learning methods, including QSVM and QCNN, show promise in manufacturing by enhancing anomaly detection and reducing parameter requirements.

Argonne is among a group of institutions chosen by the Simons Foundation and the US National Science Foundationto receive ...

JWST, a groundbreaking space observatory, enhances our understanding of the cosmos by studying distant galaxies, star ...

Astronomers have used NASA’s Hubble and James Webb space telescopes to capture unprecedented details of the extensive debris ...

Quantum Motion, a UK-based quantum computing scale-up founded by Professor John Morton, University College London (UCL), and ...

In a paper published in the journal Pharmaceuticals, researchers developed metformin carbon quantum dots (MetCQDs) to improve ...

A novel photocatalyst with titanium dioxide (TiO2) and carbon quantum dots (CQDs) was incorporated into electrospun PA66 nanofibers, achieving efficient antibiotic degradation in water under solar ...

In a study published in Physical Review Letters, researchers at the Center for Computational Quantum Physics (CCQ) at the ...

The breakdown of spin statistics in ion-atom charge exchange collisions has been directly demonstrated by a recent study that was published in Physical Review Letters on October 22nd, 2024. Scientists ...

Archer Materials Limited (“Archer”), a semiconductor company advancing the quantum technology and medical diagnostics industries, has achieved some key milestones in its research undertaken in ...