Results 91 to 100 of about 4,469,807 (237)

High‐Throughput Data Generation and Transfer Learning Enabled Microstructure‐Property Integrated Design of Nickel‐Based Powder Metallurgy Superalloy

Advanced Science, EarlyView.
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li, Hongtao Zhang, Zichao Peng, Yuheng Zhang, Qian Lv, Yihuan Cao, Xuqing Wang, Huadong Fu, Jianxin Xie   +8 more
wiley   +1 more source

Methodology for qualifying a Friction Stir Welding equipment [PDF]

, 2008
The objective of this research work is the industrialization of the friction stir welding process in order to provide tools to industrials to select and qualify a machine for their FSW applications.
MARTIN, Patrick, ZIMMER-CHEVRET, Sandra, LAYE, Julien, LANGLOIS, Laurent, GOUSSAIN, Jean-Claude, BIGOT, Régis   +5 more
core  

Physics‐Informed Machine Learning for Sustainable Alloy Design: Toward a Recyclable Unified Q&P Steel

Advanced Science, EarlyView.
A physics‐informed property‐bridging framework links high‐throughput hardness screening to tensile performance in quenching and partitioning steels. By transferring metallurgically guided representations across properties, a single alloy composition is designed to achieve multiple strength grades through heat‐treatment tuning alone, offering a ...
Xiaolu Wei, Yong Li, Chenchong Wang, Lingyu Wang, Xiang Song, Keming Mao, Yu Zhang, Wei Xu   +7 more
wiley   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source

Studies regarding the use of a neuro-fuzzy mathematical model in order to determine the technological parameters of the polyethylene pipes butt welding process

MATEC Web of Conferences, 2017
The paper analyzes the possibility to use a neuro-fuzzy type mathematical model, with the final goal of establishing the welding parameters for new types and dimensions of pipes and fittings.
Gligor Alina, Balan Marcel-Letitiu, Balan Letitia-Corina, Crisan Horatiu-Daniel   +3 more
doaj   +1 more source

Machine Learning‐Assisted KCl‐CaCl2‐LiCl Electrolyte Design for Low‐Temperature, High‐Performance Calcium‐Based Liquid Metal Batteries

Advanced Science, EarlyView.
A machine learning‐assisted framework optimizes the KCl‐CaCl2‐LiCl ternary electrolyte. The optimized 13:35:52 mol% composition enables Ca‐based liquid metal batteries to operate stably at 480 °C, with >99.5% coulombic efficiency, ultralow self‐discharge, and excellent cycling stability, advancing low‐temperature large‐scale energy storage.
Xinglin Zhou, Lei Huang, Yan Zhou, Xiaohui Ning   +3 more
wiley   +1 more source

Boosting Ferroelectricity: 2D and Polymer Ferroelectric Hybrids Enabling Ambipolar Nonvolatile MoS2 Memory Transistor

Advanced Science, EarlyView.
Two‐dimensional CuInP2S6 nanosheets are incorporated into a P(VDF‐TrFE) matrix to induce polarization‐cooperative ferroelectric coupling. The resulting P(VDF‐TrFE)/CuInP2S6 hybrid film exhibits reinforced ferroelectric ordering and reduced coercive electric fields compared with pristine P(VDF‐TrFE).
Yeonsu Jeong, Honglei Wang, Pietro Tordi, Ying Chieh Hu, Adrián Tamayo, Bing Wu, Hyun Soo Ahn, Zdenek Sofer, Jong Hoon Jung, Massimo Bonini, Paolo Samorì   +10 more
wiley   +1 more source

PolyG Fibrils Coalesce Into Nuclear Ribbons That Engage Proteostasis Machinery in Neuronal Intranuclear Inclusion Disease

Advanced Science, EarlyView.
In NIID, expanded NOTCH2NLC repeats give rise to nuclear polyG inclusions. Tracer‐guided in situ cryo‐electron tomography enables cross‐scale structural analysis from mouse brain to native neuronal nuclei, revealing dense‐core/peripheral‐halo inclusions built from compact polyG ribbons.
Hui Dong, Yongcheng Pan, Zhiyao Tang, Yuxuan Yao, Guicong Zhang, Junpu Wang, Haonan Xiao, Yun Tian, Beisha Tang, Dan Li, Qiang Guo, Ruijun Tian, Qiong Liu, Cong Liu   +13 more
wiley   +1 more source

Unlocking Low‐Melting‐Point and High‐Conductivity Molten Salts via High‐Entropy Strategy with Demonstration in Thermal Batteries

Advanced Science, EarlyView.
A high‐entropy strategy is developed to break the trade‐off between low melting point and high ionic conductivity in molten salt electrolytes. By incorporating CsBr and LiF into the LiCl‐LiBr‐KBr system, the quinary LiF‐LiCl‐LiBr‐KBr‐CsBr electrolyte achieves a record‐low melting point of 229.5°C while maintaining a high conductivity of 1.19 S cm−1 at ...
Binchao Shi, Ting Sun, Fushan Yu, Yi Zhang, Gaowu Wang, Ting Quan, Yan‐li Zhu   +6 more
wiley   +1 more source

Study on Residual Stress and Optimization of Welding Parameters in Linear Friction Welding of TC17 Titanium Alloy. [PDF]

Materials (Basel), 2022
Gong H, Liu M, Zhang T, He Y, Wu Y, Yu Z.   +5 more
europepmc   +1 more source