Hot Research on Social Media
The mathematics of burger flipping
If the system has symmetric thermal properties, the rate of cooking becomes independent of the sequence of flips, as long as the last point to be cooked is the midpoint.
Popular Physics
Window observable for the hadronic vacuum polarization contribution to the muon $g-2$ from lattice QCD
Euclidean time windows in the integral representation of the hadronic vacuum polarization contribution to the muon $g-2$ serve to test the consistency of lattice calculations and may help in tracing the origins of a potential tension between lattice and data-driven evaluations.
High Energy Physics - Lattice High Energy Physics - Phenomenology
A nanopore-powered DNA turbine
Rotary motors play a key role in the transduction of energy, from macroscale windmills to nanoscale turbines such as ATP synthase in cells.
Biological Physics Soft Condensed Matter
Sustained unidirectional rotation of a self-organized DNA rotor on a nanopore
Here, we demonstrate flow-driven rotary motion of a self-organized DNA nanostructure that is docked onto a nanopore in a thin solid-state membrane.
Biological Physics Soft Condensed Matter
Open Challenges in Developing Generalizable Large Scale Machine Learning Models for Catalyst Discovery
The recent curation of large-scale catalyst datasets has offered the opportunity to build a universal machine learning potential, spanning chemical and composition space.
Chemical Physics Materials Science
An efficient decoder for a linear distance quantum LDPC code
Recent developments have shown the existence of quantum low-density parity check (qLDPC) codes with constant rate and linear distance.
Quantum Physics Information Theory Information Theory
Computer-aided quantization and numerical analysis of superconducting circuits
The development of new superconducting circuits and the improvement of existing ones rely on the accurate modeling of spectral properties which are key to achieving the needed advances in qubit performance.
Quantum Physics
Physics-guided descriptors for prediction of structural polymorphs
We develop a method combining machine learning (ML) and density functional theory (DFT) to predict low-energy polymorphs by introducing physics-guided descriptors based on structural distortion modes.
Materials Science Computational Physics
The Evolution Of Centralisation on Cryptocurrency Platforms
Through the years the crypto-movement changed and evolved, although decentralisation remained the core ideology and the necessary feature every new crypto-project should provide.
Physics and Society Cryptography and Security General Economics Economics
Native qudit entanglement in a trapped ion quantum processor
Quantum information carriers, just like most physical systems, naturally occupy high-dimensional Hilbert spaces.
Quantum Physics
