Recent research has focused on the correlation between grain boundary character and composition in three dimensions, utilizing advanced techniques such as 4D-scanning precession electron diffraction and atom probe tomography. The study, titled "Correlating grain boundary character and composition in 3-dimensions using 4D-scanning precession electron diffraction and atom probe tomography,

A recent paper titled "Professionalising Community Management Roles in Interdisciplinary Research Projects" by Malvika Sharan and ten co-authors discusses the evolving role of Research Community Managers (RCMs) in the fields of data science and artificial intelligence (AI). The authors argue that as interdisciplinary research becomes more prevalent, the

Researchers have identified a mechanism for generating quasi-bound states in the continuum (quasi-BIC) within a single deformed microcavity, as detailed in the paper titled "Formation of Quasi-Bound States in the Continuum in a Single Deformed Microcavity" by Shuai Liu, Bo-Han Wu, Jeffrey Huang, and Zheshen Zhang. This study,

Recent advancements in optical coherence tomography (OCT) have been reported in a paper titled "Computer-generated holography enables high-uniformity, high-efficiency depth-of-focus extension in endoscopic OCT" by Chengfu Gu and colleagues. The study, submitted on September 2, 2024, addresses the challenges faced in endoscopic OCT, particularly the trade-off between probe

A recent paper titled "A Comprehensive Analysis of the Future of Atomically Precise Manufacturing" by Vadym Shvydun, Justin Sato, and Gabriel Bristot provides an in-depth examination of Atomically Precise Manufacturing (APM). The authors highlight that APM involves the assembly of materials with atomic precision, a technology that is

Recent research by H. Y. Yuan and Yaroslav Blanter has made significant strides in the field of surface plasmons, particularly in overcoming challenges associated with their excitation in two-dimensional (2D) materials. The paper, titled "Breaking surface plasmon excitation constraint via surface spin waves," presents a method to effectively

A new method has been developed to detect double-\Lambda hypernuclear events in nuclear emulsions using machine learning techniques. The research, conducted by Yan He and 19 co-authors, utilizes an object detection model known as Mask R-CNN, which was trained on images generated through Monte Carlo simulations and enhanced using

A recent paper titled "New Generalized Expressions for the Electromagnetic Fields of the Hybrid Modes of an Optical Fiber Using Complex and Bi-Complex Mathematics" by W. Astar presents a reformulation of the electromagnetic fields associated with hybrid modes in optical fibers. The study employs bi-complex mathematics, which simplifies

Recent research by Niek Mooij and Ivan Kryven, titled "Finding Large Independent Sets in Networks Using Competitive Dynamics," explores how collective behavior in biological systems can inform computational problem-solving. The study focuses on the maximum independent set problem, a significant challenge in graph theory that involves identifying the

Researchers have introduced a new method for 3D food printing (3DFP) that allows for the creation of coiled structures with adjustable porosity and fracture properties. This technique utilizes the liquid rope coiling effect, enabling rapid food printing with a single nozzle. The study, conducted by Aref Ghorbani and colleagues, examined

A new micrometeorological method has been developed that significantly enhances the accuracy of relaxed eddy accumulation flux estimates, achieving over a 100-fold improvement. This advancement is particularly relevant for atmospheric studies, as it addresses limitations associated with existing methods that rely on slow-response gas analyzers. The research, conducted by Anas

Researchers from the MicroBooNE Collaboration have conducted a significant measurement of the differential cross section for inclusive muon-neutrino charged-current scattering on argon. This research utilized data from 6.4 × 10²⁰ protons on target, collected using the MicroBooNE liquid argon time projection chamber located along the Fermilab Booster Neutrino Beam. The

Recent advancements in computational chemistry have been made with the introduction of a new method for Reduced Density Matrix Functional Theory (RDMFT) calculations. The paper titled "Enhancing Reduced Density Matrix Functional Theory Calculations by Coupling Orbital and Occupation Optimizations" by Yi-Fan Yao and Neil Qiang Su proposes a