Results 111 to 120 of about 20,067 (256)

Study on the effect of ferrite number on impact toughness of austenitic stainless steels at low temperatures [PDF]

International Journal of Advanced Engineering Research and Science, 2020
André de Albuquerque Vicente, Peter Aloysius D'silva, Bobby Jos, Tiago Felipe de Abreu Santos, Jorge Alberto Soares Tenório   +4 more
openaire   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Effect of Inclusion and Structure on Low Temperature Impact Toughness of 20R Steel

Teshugang, 2007
The effect of cleanliness and rolling process of two heats of 20R steel-0. 15C,0.008P,0.008S,0.06Mo and 0. 18C,0.009P,0.004S,0.01Mo on low temperature impact energy of steel has been rescarched by 200 kg vacuum induction furnace and 500 mm mill in ...
王勇, 苏春霞, 张起生
doaj  

Harnessing Phase Separation for the Development of High‐Performance Hydrogels

Advanced Science, EarlyView.
ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao, Yiming Ma, Baihao Shao, Molly M. Stevens   +3 more
wiley   +1 more source

Fundamentals of Thermal Transport and Energy Conversion in Ultra‐High Temperature Ceramics: From Microscale Mechanisms to Macroscopic Properties

Advanced Science, EarlyView.
This review critically examines thermal transport and radiative properties of ultra‐high temperature ceramics for hypersonic flight, advanced nuclear systems, and next‐generation energy conversion devices. It explores phonon–photon–electron interactions, microstructural engineering, thermoelectric conversion, and machine learning‐accelerated multiscale
Zhipeng Pei, Yue Li, Jiayu Xing, Yue Zhu, Ru Zhang, Huan Wu, Zihao Qin, Gang Pei, Man Li   +8 more
wiley   +1 more source

Nano Carbon‐mesh with Excellent Bonding Performance via Hydro‐cage De‐shielding Strategy

Advanced Science, EarlyView.
A hydro‐cage de‐shielding strategy transforms cellulose‐based films into a dragonfly‐wing‐like nano carbon‐mesh (NCM) adhesive through instantaneous carbonization‐polymerization. The resulting NCM‐plywood achieves exceptional wet shear strength (1.24 MPa at 63°C), exceeding Class II plywood standards, and retains 0.73 MPa after boiling‐water cycles ...
Weijia Yang, Jianyong Wan, Hongda Guo, Haizhu Wu, Yongli Yang, Wenhe Bi, Zhengyong Yang, Chenghua Wang, Bertrand Charrier, Hisham Essawy, Antonio Pizzi, Xinyi Chen, Zhijun Chen, Guanben Du, Xiaojian Zhou   +14 more
wiley   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

Advanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung, Gwang Ya Kim, Sejin Kim, Hyunjong Seo, Se Gi Lee, Sang Min Won, Dongjoon Rhee, Joohoon Kang   +7 more
wiley   +1 more source

High Fracture Toughness of 1D Copper‐Based MOP Electrode Enables Fast‐Charging Lithium‐Ion Batteries

Advanced Science, EarlyView.
Traditional electrode materials suffer from particle cracking and rapid capacity fade during fast charging, largely originating from their low fracture toughness. This work introduces a one‐dimensional Cu‐based metal–organic polymer, in which strong π‐d conjugation and π–π stacking endow the framework with high fracture toughness, simultaneously ...
Mingli Li, Zhenzhen Wu, Pan Yang, Di Zhao, Mengyang Dong, Muhammad Tayyab Ahsan, Lei Zhang, Shanqing Zhang, Yun Wang   +8 more
wiley   +1 more source

Hierarchical Twin Networks Enable Exceptional Strength and Fracture Toughness in Titanium

Advanced Science, EarlyView.
A commercial‐purity titanium with hierarchical ultrafine twin structures delivers an exceptional combination of fracture toughness (KJIc) of 187 MPa·m1/2 and specific yield strength of 140 MPa·cm3·g−1, in which pre‐engineered high‐density twin boundaries stimulate massive and dislocations to blunt crack tip.
Xiao‐Wei Zou, Ting Zhu, En Ma, Wei‐Zhong Han   +3 more
wiley   +1 more source

Interpretable Machine Learning Framework for Nb─Si Based Alloy Design with Enhanced Fracture Toughness

Advanced Science, EarlyView.
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen, Chao Xu, Jingyue Yu, Qi Wang, Hongze Fang, Shuo Yin, Turab Lookman, Ruirun Chen   +7 more
wiley   +1 more source