Results 131 to 140 of about 1,197,005 (297)

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

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

Simultaneous Wastewater‐to‐Hydrogen Upgrading via Mechanically Driven Piezocatalysis Over Ag‐ZnO Nanorods

Advanced Science, EarlyView.
A piezocatalytic strategy enables simultaneous wastewater purification and hydrogen generation by harnessing mechanical energy. Complementary piezo‐induced charges are selectively directed toward oxidation and reduction pathways, achieving efficient pollutant degradation and continuous H2 evolution.
Yiqing Wei, Jianghai Huang, Yejunchi Zhang, Yang Wang, Dongmei Li, Chaogang Ban, Peng Yu, Jiangping Ma, Zhenxiang Cheng   +8 more
wiley   +1 more source

Organoid Brain‐Machine‐Interface Devices for Central Nervous System Repair

Advanced Science, EarlyView.
We envision organoid brain‐machine‐interface (Organoid‐BMI) devices as new biohybrid bidirectional communication pathways to connect the human CNS and the external world for personalized CNS repair and regeneration. ABSTRACT Central nervous system (CNS) repair and regeneration suffer from tremendous clinical challenges due to current limitations in ...
Yantao Xing, Yang Yang, Zichen Hong, Chunhui Tian, Huiyu Chu, Susanne Clara Prokop, Hongwei Cai, Mingxia Gu, Jason Tchieu, Ken Mackie, Feng Guo   +10 more
wiley   +1 more source

Thick concrete slab bridges : study of shear strengthening [PDF]

, 2018
Efficient shear strengthening techniques for thick concrete slabs were studied at Université Laval over the last decade. The strengthening techniques consist of adding drilled-in vertical reinforcing bars and to anchor the bars with bolted plates or ...
Bédard, Frédéric, Bastien, Josée, Mitchell, Denis, Fiset, Mathieu   +3 more
core  

Multiferroic‐Centric Materials and Systems Engineering for Battery Applications: An Insight Into Mechanisms, Strategies, and Characterizations

Advanced Science, EarlyView.
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su, Yanda Zhu, Hao Peng, Manman Li, Xuzihan Zhang, Meixiao Wu, Siyuan Zhang, Yuhan Zeng, Jiwen Liao, Ming Luo, Hetaishan Huang, Yutong Wang, Sean Li, Wenxian Li   +13 more
wiley   +1 more source

Shear strengthening of RC beams using carbon fiber reinforced polymer laminates [PDF]

, 2003
Shear failure is catastrophic and occurs usually without advanced warning, thus it is desirable that the beam fails in flexure rather than in shear. Many existing reinforced concrete (RC) members are found to be deficient in shear strength and need to be
Zhang, Zhichao
core  

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

Advanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai, Ri He, Junxian Liu, Liangzhi Kou   +3 more
wiley   +1 more source

Grain Boundary Structure Ordering via Electroshock Treatment Enhances Strength‐Ductility Synergy

Advanced Science, EarlyView.
Electroshock treatment triggers atomic rearrangement, transforming disordered grain boundaries into ordered states without inducing recrystallization. This grain boundary ordering effectively relieves strain concentration and strengthens boundaries, enabling a simultaneous improvement in both strength and ductility.
Jiancheng Chen, Feng Wang, Dongsheng Qian, Huiling Wang, Jinsong Wu, Mingwang Fu, Lin Hua   +6 more
wiley   +1 more source

Defect‐Engineered BiO2‐X Nanosheets Mediate Sono‐Thermomechanical ECM Remodeling for Hepatocellular Carcinoma Immunotherapy

Advanced Science, EarlyView.
Herein, an ultrasound‐responsive BiO2‐X/siFn1 nanoplatform is developed to overcome anti‐PD‐1 resistance in hepatocellular carcinoma. Upon ultrasound irradiation, the platform downregulates fibronectin expression, while its sonothermal effect softens the dense extracellular matrix and activates antitumor immunity in the tumor microenvironment, thereby ...
Huimin Tian, Shen Zhang, Bolin Wu, Yichi Chen, Haitao Shang, Haoyan Tan, Chunyue Wang, Weichen Xu, Huixiong Xu, Haohao Yin, Wen Cheng   +10 more
wiley   +1 more source