Results 101 to 110 of about 416,163 (244)

Advancing Digital Transformation in Material Science: The Role of Workflows Within the MaterialDigital Initiative

open access: yesAdvanced Engineering Materials, EarlyView.
The MaterialDigital initiative drives the digital transformation of material science by promoting findable, accessible, interoperable, and reusable principles and enhancing data interoperability. This article explores the role of scientific workflows, highlights challenges in their adoption, and introduces the Workflow Store as a key tool for sharing ...
Simon Bekemeier   +37 more
wiley   +1 more source

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

open access: yesAdvanced Engineering Materials, EarlyView.
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi   +4 more
wiley   +1 more source

DALiuGE: A Graph Execution Framework for Harnessing the Astronomical Data Deluge

open access: yes, 2017
The Data Activated Liu Graph Engine - DALiuGE - is an execution framework for processing large astronomical datasets at a scale required by the Square Kilometre Array Phase 1 (SKA1).
An, Tao   +13 more
core  

On the Rigidity and Mechanical Behavior of Triply Periodic Minimal Surfaces‐Based Lattices: Insights from Extensive Experiments and Simulations

open access: yesAdvanced Engineering Materials, EarlyView.
This study examines the mechanical properties of triply periodic minimal surfaces (TPMS)‐based lattices, analyzing 36 architectures in elastic and plastic regimes. It evaluates the applicability of beam‐based scaling laws to TPMS lattices. Rigidity arises from the alignment of members with the load direction and solid regions preventing rotation.
Lucía Doyle   +2 more
wiley   +1 more source

Monitoring and Maintaining Laser Surface Texture Quality Based on Acoustic and Optical Process Emissions during Direct Laser Interference Patterning

open access: yesAdvanced Engineering Materials, EarlyView.
Acoustic emissions during direct laser interference patterning are shown to strongly correlate with surface texture depth. By implementing a closed‐loop control system utilizing acoustic feedback, consistent microstructures with uniform depth are achieved despite laser power fluctuations.
Tobias Steege   +4 more
wiley   +1 more source

PyImageJ: A library for integrating ImageJ and Python

open access: yesNature Methods, 2022
C. Rueden   +7 more
semanticscholar   +1 more source

Geometry‐Based Scan Curve Analysis: Rapid Method for the Evaluation of Scan Strategies in Powder Bed Fusion

open access: yesAdvanced Engineering Materials, EarlyView.
This study presents rapid evaluation methods for scan strategies in powder bed fusion (PBF) of polymers with a NIR laser as an example for its application. It uses line buffer‐based calculations and point density fields to predict the performance of four different scan strategies. The methods show promising results in laser‐based PBF of polymer samples,
Simon Leupold   +9 more
wiley   +1 more source

Understanding the Role of Hydrogen and Oxygen in Electronic Phase Changes of Nickelates

open access: yesAdvanced Functional Materials, EarlyView.
The reversible exchange of hydrogen and oxygen in solids is key to their electronic and electro‐chemical functionality. A combination of methods is employed to study the interaction of hydrogen with a prototypical quantum material in a non‐destructive and time‐dependent manner.
Laura Guasco   +12 more
wiley   +1 more source

Attribute-based linear homomorphic signature scheme based on key policy for mobile crowdsensing

open access: yesJournal of King Saud University: Computer and Information Sciences
Compared with traditional wireless sensor networks, mobile crowdsensing networks have advantages of low cost, easy maintenance, and high scalability, which will play a role in city-level data sensing scenarios in the future.
Yuan Tian   +4 more
doaj  

Autonomous Control of Extrusion Bioprinting Using Convolutional Neural Networks

open access: yesAdvanced Functional Materials, EarlyView.
This work presents a novel computer vision system for high‐fidelity monitoring of extrusion‐based bioprinting and a correction system utilizing convolutional neural networks for error mitigation. This system has demonstrated high detection accuracy and extrusion correction abilities that advance the state of the art toward accelerated printing ...
Daniel Kelly   +4 more
wiley   +1 more source

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