Science

Researchers have developed a theoretical model revealing a continuous transition between magnetic order and a strange metallic state in heavy fermion materials.

A new computational approach combines machine learning with quantum mechanics to accurately forecast crystal structures under realistic thermal conditions.

A new communication library minimizes performance drops during failures in the complex networks powering today’s largest machine learning workloads.

A new digital approach to Over-the-Air Computation leverages two’s complement representation to enable error-free results and boost edge computing performance.

A new theoretical framework details how complex many-electron interactions can give rise to exotic superconducting properties beyond traditional understanding.

A new wave of experiments and theoretical advances is challenging fundamental assumptions about the fabric of spacetime and the laws governing particle physics.

New research demonstrates precise control over the self-assembly of colloidal crystals by manipulating the shape of the particles themselves, opening doors to advanced material design.

A new approach leverages rational canonical form to significantly accelerate encrypted control designs based on Ring-LWE, enhancing both speed and efficiency.

This research unlocks a deeper understanding of positive specializations within K-theoretic Schur functions, revealing connections to the geometry of filtered Young lattices.

New research demonstrates a fundamental link between the structure of entanglement entropy and holographic graph models, revealing which entropy profiles can be physically realized.