Results 181 to 190 of about 519,225 (355)

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Decoding density limit disruption precursor patterns in J-TEXT using interpretable machine learning

Nuclear Fusion
Achieving high-density operation is crucial for maximizing the fusion gain factor in future tokamaks. While the Greenwald density limit is widely used, it lacks a first-principles basis and its underlying physics remains under discussion. Recent research
Wei Zheng, Mingqiao Wen, Chengshuo Shen, Li Gao, Weijie Lin, Runyu Luo, Fengming Xue, Yonghua Ding, Zhongyong Chen, J-TEXT Team   +9 more
doaj   +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

A Simplified Laminar Flow Model for the Pultrusion of Glass Fiber/Polyethylene Terephthalate Commingled Yarns

Advanced Engineering Materials, EarlyView.
A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares, Nadège Bouchonneau, Christian Jochum, Donald Radford   +3 more
wiley   +1 more source

Adaptive anomaly detection disruption prediction starting from first discharge on tokamak

Nuclear Fusion
Plasma disruption presents a significant challenge in tokamak fusion, especially in large-size devices like ITER, where it causes severe damage. While current data-driven machine learning methods perform well in disruption prediction, they require ...
X.K. Ai, W. Zheng, M. Zhang, Y.H. Ding, D.L. Chen, Z.Y. Chen, B.H. Guo, C.S. Shen, N.C. Wang, Z.J. Yang, Z.P. Chen, Y. Pan, B. Shen, B.J. Xiao, J-TEXT team   +14 more
doaj   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Impact of low-Z impurity injection on the post-disruption runaway electron current in the J-TEXT tokamak

Nuclear Fusion
Major disruptions in tokamak plasmas pose a severe threat to the safe and stable operation of the device, and the runaway current formed by high-energy runaway electrons is one of the hazardous consequences. Massive impurity injection serves as a primary
Wei Yan, Zhongyong Chen, Xun Zhou, Yuan Sheng, Yuwei Sun, Kaiyin Peng, You Li, Zhifang Lin, Nengchao Wang, Zhoujun Yang, Zhipeng Chen, Yonghua Ding, J-TEXT Team   +12 more
doaj   +1 more source

Confinement-Induced Indium Oxide Nanolayers Formed on Oxide Support for Enhanced CO₂ Hydrogenation Reaction

An enclosed nanospace often shows a significant confinement effect on chemistry within its inner cavity, while whether an open space can have this effect remains elusive.
Cui Dong (6890435), Rongtan Li (8351682), Yamei Fan (4743771), Xinhe Bao (1371360), Mingshu Chen (1360194), Guanghui Zhang (450175), Xinwen Guo (1408723), Yanxiao Ning (1464529), Qiang Fu (129583), Jianyang Wang (235121), Shuangli Yang (846601), Mingrun Li (1487098), Rentao Mu (1337451)   +12 more
core   +1 more source

The PRIMA Thesaurus for Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
The PRIMA Thesaurus is a structured vocabulary designed to improve how materials science data is described and shared. Developed with input from multiple experts, it enables clear documentation of research workflows, data exchange, and reuse across platforms.
Rossella Aversa, Alexey Boubnov, Dario De Angelis, Catriona Eschke, Maximilian Kabbe, Felix Kraus, Mirco Panighel, Richard Thelen, Davide Valentinis   +8 more
wiley   +1 more source

Effects of neoclassical toroidal viscosity on toroidal rotation under electron cyclotron resonance heating on J-TEXT tokamak

Nuclear Fusion
Influence of neoclassical toroidal viscosity (NTV) torque on intrinsic toroidal rotation caused by internal kink mode (IKM) in the J-TEXT tokamak is studied.
Hanhui Li, Youwen Sun, Lu Wang, Xingting Yan, Hui Sheng, Zhoujun Yang, Li Gao, Yonghua Ding, Zhongyong Chen, Zhipeng Chen, Donghui Xia, Wei Yan, Da Li, J-TEXT Team   +13 more
doaj   +1 more source