Results 121 to 130 of about 1,708,096 (323)
Anomalous U(1) extension of the Standard Model
We present a set of example models in which the Standard Model (SM) symmetry group is extended by a new abelian symmetry. This additional symmetry appears anomalous in the effective low-energy theory; however, the anomalies cancel out when massive chiral
Pascal Anastasopoulos +3 more
doaj +1 more source
Design and Applications of Multi‐Frequency Programmable Metamaterials for Adaptive Stealth
This article provides a comprehensive overview of metamaterials, including their fundamental principles, properties, synthesis techniques, and applications in stealth, as well as their challenges and future prospects. It covers topics that are more advanced than those typically discussed in existing review articles, while still being closely connected ...
Jonathan Tersur Orasugh +4 more
wiley +1 more source
Event Tree Analysis of Xinda Oil Pipeline Leakage Based on Fuzzy Set Theory [PDF]
Di Wang, Enbin Liu, Liyu Huang
openalex +1 more source
About the Strange Tree Paradox and Possible Inconsistency of Set Theory
Yury M. Volin
openalex +2 more sources
Device Integration Technology for Practical Flexible Electronics Systems
Flexible device integration technologies are essential for realizing practical flexible electronic systems. In this review paper, wiring and bonding techniques critical for the industrial‐scale manufacturing of wearable devices are emphasized based on flexible electronics.
Masahito Takakuwa +5 more
wiley +1 more source
Hidden zeros for particle/string amplitudes and the unity of colored scalars, pions and gluons
Recent years have seen the emergence of a new understanding of scattering amplitudes in the simplest theory of colored scalar particles — the Tr(ϕ 3) theory — based on combinatorial and geometric ideas in the kinematic space of scattering data.
Nima Arkani-Hamed +4 more
doaj +1 more source
Mohammad Lutfi Othman +4 more
semanticscholar +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Heterogeniety in electrochemical systems heavily influences device performance and durability. The study shows unique evidence of spatio‐operational heterogeneity in fuel cells via operando neutron and X‐ray tomography. Large variations in membrane thickness and hydration depend upon location and operating conditions, with implications on membrane ...
Pranay Shrestha +9 more
wiley +1 more source
Decision Tree Construction based on Rough Set Theory under Characteristic Relation [PDF]
Jing Song +3 more
openalex +1 more source

