Results 41 to 50 of about 277 (206)

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

Comparison of Weldability Misalignment between Rivets and Electrodes in Aluminum/Steel Resistance Element Welding [PDF]

Journal of Welding and Joining, 2021
Hyun-Uk Jun, Jae Won Kim, Jae-Hun Kim, Kwang-Weon Lee, Jooyong Cheon, Changwook Ji   +5 more
openaire   +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

3D‐Printed Magnetoelectronics for Interactive Appliances and Self‐Aware 4D‐Printed Mechatronics

Advanced Science, EarlyView.
3D‐printed magnetoelectronics integrate high‐performance magnetic field sensing directly into complex structural components. Flexible spring and cross‐shaped sensors exhibit giant magnetoimpedance and 3D Hall sensing for vector field reconstruction. Applications include smart‐home switches, robotic joysticks, volumetric magnetometers, and self‐aware 4D‐
Eduardo Sergio Oliveros‐Mata, Anna Martin Vilardell, Fabian Ganss, Christoph Leyens, Lukas Stepien, Denys Makarov   +5 more
wiley   +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

Large Language Model‐Informed Dual‐Track AI Framework for the Synergistic Design of Crack‐Free and High‐Strength Superalloys

Advanced Science, EarlyView.
This paper illustrates a knowledge‐augmented dual‐track AI framework for advanced superalloy design. First, Large Language Models translate metallurgical heuristics into explicit rules to rapidly prune a vast compositional search space. Subsequently, LLM‐distilled priors safely guide a reinforcement learning agent during autonomous process optimization,
Jian Yao, Junkang Wu, Jie Su, Fuzhu Wang, Zi Wang, Li Wang, Liming Tan, Lan Huang, Feng Liu, Yong Liu   +9 more
wiley   +1 more source

Taming Flexibility: Synergistic Pore and Polarity Engineering in a MOF for High‐Efficiency Xe/Kr Separation

Advanced Science, EarlyView.
Through a mixed‐ligand strategy that precisely regulates pore size and framework polarity, the Xe adsorption behavior is transformed from flexible to near‐rigid. ZIF‐7‐Cl(20) achieves sensitive recognition, efficient capture, and high selectivity for Xe, enabling high‐efficiency separation from Xe/Kr mixtures.
Tao Zhao, Xue Wang, Youjin Gong, Siqi Dong, Shunshun Xiong, Hui Xu, Aziz Bakhtiyarovich Ibragimov, Thamraa Alshahrani, He Zheng, Lin Li, Junkuo Gao   +10 more
wiley   +1 more source

Leading the Pack: Next‐Generation Batteries for Humanoid Robotics

Advanced Science, EarlyView.
Humanoid robots challenge traditional and anticipated energy technologies. Humanoid robot benchmarks of runtimes and energy demands for industry applications inform humanoid robot battery design choices at the cell level, pack level, and system level.
Matthew Bergschneider, Jiaqi Ke, Jin Luo, Laisuo Su, Thomas Campbell, Yue Zhou, Kyeongjae Cho   +6 more
wiley   +1 more source

Surface and Interfacial Engineering toward Durable Mechanically Coupled Flexible Electronics

Advanced Science, EarlyView.
This Review highlights how surface and interfacial engineering governs the reliability, durability, and functional stability of mechanically coupled flexible electronics. By integrating fundamental interfacial theory, failure mechanisms, multiscale engineering strategies, and representative applications, it provides a design‐oriented framework for ...
Qian Wang, Fangfang Dai, Wei Wu
wiley   +1 more source

Chiral Morphing of Liquid Crystal Polymer Networks

Advanced Science, EarlyView.
This paper reviews how macroscopic chirality spontaneously arises from liquid crystal polymer materials. It describes how alignment is utilized to create the mechanical anisotropy, geometric misorientation and asymmetry that leads to chiral shape morphing, how shape selection between helicoids and helices arises, the techniques used to prepare these ...
Laurens T. de Haan
wiley   +1 more source