Results 21 to 30 of about 471 (130)
We describe an efficient algorithm to compute the bridge length estimating the size of a complete isoset invariant, which classifies all periodic point sets under Euclidean motion.The fundamental model of any periodic crystal is a periodic set of points at all atomic centres.
Jonathan McManus, Vitaliy Kurlin
wiley +1 more source
Stratospheric Injection Lifetimes
Abstract Material injected to the stratosphere by volcanoes and pyrocumulonimbus clouds (pyroCbs) is observed to have different lifetimes depending on the altitude, latitude, season of the injection, and removal processes. We adopt a framework that describes the stratospheric lifetime of injected material as the sum of lag and decay timescales and ...
M. R. Schoeberl +3 more
wiley +1 more source
This work reveals that charge transport in nickel benzenehexathiol coordination nanosheets is governed by variable‐range hopping reflecting structural disorder. Electrolyte gating induces a switch in dominant carrier polarity from p‐type to n‐type and leads to an improvement in thermoelectric performance.
Tian Wu +8 more
wiley +1 more source
Path Integral Spin Dynamics for Quantum Paramagnets
The study has developed a path integral method, which is a classical approach, combined with atomistic spin dynamics simulations to calculate thermal quantum expectation values. This method can handle Hamiltonians with non‐linear terms, which are important for describing uniaxial anisotropies and mechanical constraints.
Thomas Nussle +2 more
wiley +1 more source
The paper discusses the role of scale anomaly in generating edge electric currents via the scale magnetic effect in scalar electrodynamics. Although the boundary electric current is much weaker than the Meissner current induced in superconducting materials, the scale anomaly can enhance conductivity near the boundary of the material.
Maxim Chernodub +2 more
wiley +1 more source
Axion‐Like Interactions and CFT in Topological Matter, Anomaly Sum Rules and the Faraday Effect
This review investigates the connection between chiral anomalies and their manifestation in topological materials, using both perturbative methods based on ordinary quantum field theory and conformal field theory (CFT). It emphasizes the role of CFT in momentum space for parity‐odd correlation functions, and their reconstruction by the inclusion of a ...
Claudio Corianò +4 more
wiley +1 more source
We developed a deep learning‐integrated image cytometry technique to profile biophysical attributes of blood cells from ENKTL patients. We demonstrate specific changes in cell size, eccentricity, and refractive index during treatment in a label‐free manner.
Seongcheol Park +8 more
wiley +1 more source
A machine‐learning‐driven data labeling pipeline for scientific analysis in MLExchange
A web‐based labeling pipeline is introduced that accelerates the annotation of large scientific data sets with artificial‐intelligence‐guided tagging techniques.This study introduces a novel labeling pipeline to accelerate the labeling process of scientific data sets by using artificial intelligence (AI)‐guided tagging techniques.
Tanny Chavez +13 more
wiley +1 more source
This research introduces a theoretical framework for analysing diffuse multiple scattering in single crystals. Using high‐intensity synchrotron X‐rays, the model accurately predicts the intensity distribution along Bragg cones, taking into account both general diffuse scattering and mosaicity to understand complex material behaviour, especially in ...
Maurício B. Estradiote +5 more
wiley +1 more source
Sequential testing of complementary hypotheses about population density
Abstract Making inferences about population density is paramount in ecology and pest management for decision‐makers who often seek to determine how a population compares to a pre‐established static or dynamic threshold through sampling or monitoring. Sequential data analysis is appealing for monitoring and decision making as it is more cost‐efficient ...
Diego F. Rincon +2 more
wiley +1 more source

