Results 31 to 40 of about 2,582 (264)

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows

Advanced Engineering Materials, EarlyView.
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba, Sang‐Hyeok Lee, Christina Gasper, Martina Freund, Sandra Korte‐Kerzel, Ulrich Kerzel   +5 more
wiley   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy

Advanced Engineering Materials, EarlyView.
Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang, Jianxiang Zhao, Zhaoqi Chen, Hao Gong, Yinsen Yan, Junlei Tao, Yong Yang   +6 more
wiley   +1 more source

Machine learning robot polishing cell [PDF]

EPJ Web of Conferences, 2019
The quality of optical components such as lenses or mirrors can be described by shape errors and surface roughness. With increasing optic sizes, the stability of the polishing process becomes more and more important. Parameters such as chemical stability
Schneckenburger Max, Garcia Luis, Börret Rainer   +2 more
doaj   +1 more source

Evaluation of Silicon Wafer Polishing Pads. Rheological Behavior of Polishing Pads and Improvement of Wafer Flatness.

Journal of the Japan Society for Precision Engineering, 1991
We have developed some new easy-to-use equipment for measuring quantitatively the rheological deformation characteristics of the polishing pads. The main results, using the measuring equipment, are as follows : (1) With the processing time, the value of th elastic deformation of the pads becomes higher at the peripheral region of the polishing table ...
SAMITSU, Yamato, YASUNAGA, Nobuo, YOSHIDA, Takahumi, OHMOTO, Takasi, HORIE, Sadamu   +4 more
openaire   +2 more sources

Gallium Microalloying in Bi–Sn Solders: Interfacial Phase Formation, Wettability, and Long‐Term Shear Reliability Under Isothermal Aging

Advanced Engineering Materials, EarlyView.
Gallium microalloying redirects interfacial reactions in low‐temperature Bi–Sn solders from Cu–Sn toward Cu–Ga intermetallic formation. The resulting Cu–Ga layer suppresses intermetallic growth during thermal aging, alters fracture pathways, and improves interfacial stability.
Iva Králová, Markéta Klimtová, Mohd Faizul Mohd Sabri, Yew Hoong Wong, Petr Veselý, Martin Plaček, Karel Dušek   +6 more
wiley   +1 more source

Stretchable Microelectrode Arrays for Electro‐Mechanical Probing of Brain Spheroids

Advanced Healthcare Materials, EarlyView.
A multimodal device featuring kirigami‐patterned stretchable microelectrode arrays enables concurrent mechanical actuation and electrophysiological recording of brain spheroids. The platform supports multiple loading regimes and reveals mechanically induced modulation of spontaneous network activity in 3D neural tissue models.
Eleonora Martinelli, Ivan Furfaro, Flavius Timis, João Marques, Tala El Kaissi, Desirée Maulà, Laurine Kolly, Julian Bär, Sina Röllin, Scott Erickson, Laetitia Nikles, Benoît Delaup, Camille Delgrange, Loris Gomez Baisac, Luc Stoppini, Adrien Roux, Giuseppe Schiavone, Stéphanie P. Lacour   +17 more
wiley   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Review on chemical mechanical polishing of silicon wafers

Jin'gangshi yu moliao moju gongcheng, 2020
With the increase of wafer thickness and the decrease of chip thickness, the amount of material removal increases in the process of wafer processing, and the problem of improving the processing efficiency has become one of the research hotspots.
XU Jiahui, KANG Renke, DONG Zhigang, WANG Ziguang   +3 more
doaj