Results 131 to 140 of about 1,307,438 (325)
A Random Graph Model for Power Law Graphs [PDF]
William Aiello, Fan Chung, Linyuan Lü
openalex +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani +4 more
wiley +1 more source
3D‐Printed Architected Material for the Generation of Foam‐Based Protective Equipment
This study investigates 3D‐printed architected structures as alternatives to traditional foams in protective gear. It focuses on customizing impact strength and damping through design and manufacturing integration. Testing shows these structures outperform conventional foams, offering enhanced customizability, lower weight, and tunable performance ...
Ali Zolfagharian +5 more
wiley +1 more source
Automorphisms of Cayley graphs of metacyclic groups of prime-power order [PDF]
Cai Heng Li, Hyo-Seob Sim
openalex +1 more source
In this research, ZrC coatings are evaluated against various counterprobes at the microscale using novel super‐stiff atomic force microscopy cantilevers. The chemical composition of the coating is shown to be an important factor influencing coating hardness and Young's modulus, while surface roughness, counterprobe hardness, and surface energy are the ...
Piotr Jenczyk +4 more
wiley +1 more source
A new experimental setup, incorporating digital image correlation and infrared thermography in combination with inductive‐conductive heating for precise temperature control, is used to analyze the mechanical behavior and microstructural changes of sheet metal under complex thermomechanical test conditions that represent quench and partitioning ...
Christian Illgen +4 more
wiley +1 more source
Adaptive power flow analysis for power system operation based on graph deep learning
Conventional model-driven methods are hard to handle large-scale power flow with multivariate uncertainty, variable topology, and massive real-time repetitive calculations.
Xiao Hu +6 more
doaj +1 more source
An efficient graph partition method for fault section estimation in large-scale power network [PDF]
Tianshu Bi +3 more
openalex +1 more source
Advancing Wildfire‐Retardant Materials: Engineering Strategies for Direct and Indirect Suppression
Here, the evolution, ecological impact, and performance of current fire‐retardant materials and suppression strategies are reviewed, offering an engineering perspective to address existing challenges and propose pathways for the development of more effective, scalable, and sustainable solutions to meet the demands of a changing climate. Wildfires cause
Changxin Dong +4 more
wiley +1 more source
Distribution-graph based approach and extended tree growing technique in power-constrained block-test scheduling [PDF]
V. Murescan +3 more
openalex +1 more source

