Results 101 to 110 of about 317,264 (318)
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
Advanced Engineering Materials, EarlyView.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
The complex channel networks of bone structure
, 2004 Bone structure in mammals involves a complex network of channels (Havers and Volkmann channels) required to nourish the bone marrow cells. This work describes how three-dimensional reconstructions of such systems can be obtained and represented in terms ...
Costa L. F. +5 more
core +1 more source
Advanced Engineering Materials, EarlyView.Unlocking structural efficiency, this work integrates homogenization‐based topology optimization with functionally graded triply periodic minimal surface lattices to create highly efficient, customizable lattice structures. Key achievements include the development of a versatile MATLAB framework, optimization of mechanical properties for additive ...
Mirhan Ozdemir +4 more
wiley +1 more source
Chaotic saddles in nonlinear modulational interactions in a plasma
, 2012 A nonlinear model of modulational processes in the subsonic regime involving a linearly unstable wave and two linearly damped waves with different damping rates in a plasma is studied numerically. We compute the maximum Lyapunov exponent as a function of
Abraham C.-L. Chian +7 more
core +2 more sources
Advanced Engineering Materials, Volume 27, Issue 14, July 2025.Controlling the size and distribution of dispersoids is essential for optimizing the performance of oxide‐dispersion‐strengthened steels. This study focuses on nanoparticle dispersion and agglomeration during laser additive manufacturing of Fe20Cr alloy reinforced with ZrO 2 nanoparticles. Utilizing multiphysics phase‐field simulations and nanoparticle
Somnath Bharech +6 more
wiley +1 more source
EPJ Web of Conferences, 2015 Amorphous silicon oxynitride (SiOxNy) possess interesting optical and mechanical properties. Here, we present direct evidence for the formation of ion tracks in 1 µm thick silicon oxynitride of different stoichiometries.
Mota–Santiago P. +5 more
doaj +1 more source
RANG: A Residual-based Adaptive Node Generation Method for Physics-Informed Neural Networks
, 2022 Wei Peng +4 more
openalex +2 more sources
Advanced Engineering Materials, EarlyView.Additive manufacturing technologies like laser powder‐bed fusion offer great design freedom and individualization of products down to a batch size of one. However, parts fabricated with this technology suffer from poor quality. Acoustic assistance during the build process can minimize these drawbacks.
Oliver Maurer, Dirk Bähre
wiley +1 more source
Reliability of Sensor Nodes in Wireless Sensor Networks of Cyber Physical Systems
Procedia Computer Science, 2017 Sensors are a crucial component of any intelligent control system. Wireless sensor networks are one of the most rapidly developing information technologies and promise to have a variety of applications in Next Generation Networks, Internet of Things and for mission critical and safety relevant applications.
Igor Kabashkin, Jrg Kundler
openaire +2 more sources
Advanced Functional Materials, EarlyView.This study introduces an extracorporeal hemoperfusion system incorporating porous microbeads embedded with autocatalytic ceria nanoparticles (CeNPs) for targeted reactive oxygen species (ROS) scavenging in septic shock. The blood‐compatible hemoperfusion cartridge demonstrated significant improvements in survival, hemodynamic stability, and organ ...
Pilseon Im +10 more
wiley +1 more source