Results 61 to 70 of about 3,342 (219)

Scalable Fabrication of MOF Glass Membranes for Gas Separation via Stepwise Phase Transition

Advanced Science, EarlyView.
Metal‐organic framework (MOF) glass membranes, with their excellent processability and permanent pore structure, have great potential for gas separation applications. However, during large‐scale fabrication, defects and obvious cracks are prone to occur due to the limitations of powder processing.
Mao Ye, Yi Yang, Zibo Yang, Yuxiu Sun, De Ao, Fan Zhou, Ying Chen, Chunhui Luo, Ziyao Wang, Wenjia Sun, Yunling Jia, Wengang Huang, Jingwei Hou, Zhi Wang, Zhihua Qiao   +14 more
wiley   +1 more source

Effect of sintering system on cellular structures of vitrified bond diamond wheels

Jin'gangshi yu moliao moju gongcheng, 2020
Vitrified bond ultrafine diamond wheels with cellular structures were prepared by space placeholder method and solid particles sintering.The effect of sintering system on the cellular structures of the wheels was studied via the microstructure, the ...
MIAO Weipeng, DING Yulong, LUO Miaodi, XIONG Huajun   +3 more
doaj  

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Effect of heat preservation on the property and structure of low-temperature vitrified/Cu-Sn-Fe-based bond diamond tool

Jin'gangshi yu moliao moju gongcheng, 2017
Low-temperature vitrified/Cu-Fe-Sn-based bond diamond tool was prepared by the method of powder metallurgy.Bending strength and impact strength of samples were tested by using mechanical tester and their micro-topography were analyzed by using XRD and ...
LI Guangfeng, HOU Yonggai, GAO Yuan, LI Wenfeng, HUANG Qingfei, DING Zhijing   +5 more
doaj  

Methacrylated Gelatin and Graphene Oxide Hybrid Hydrogels Composed‐Bioinks for 3D Tissue Engineering

Advanced NanoBiomed Research, EarlyView.
Bioinks made from hydrogels, such as methacrylated gelatin (GelMA), serve as the base material for bioprinted tissues, offering versatility and biocompatibility for a range of applications. Additional components however are still needed to improve functionality and mechanical stability of hydrogels. One of these components is graphene oxide (GO), added
Wanessa S. Mota, Erika S. Lisboa, Victoria L. S. dos Santos, Carine Serafim, Maria L. F. Bezerra, Thais F. R. Alves, Marco V. Chaud, Frederico S. Martins, Juliana C. Cardoso, Eliana B. Souto, Patrícia Severino   +10 more
wiley   +1 more source

Homologous membrane wrapped ZIF‐8 nanoparticles accelerate differentiation of neural stem cell for spinal cord injury therapy

BMEMat, EarlyView.
Homologous membrane wrapped ZIF‐8 nanoparticles were proposed to improve biocompatibility and targeting ability to neural stem cells (NSCs). ZIF‐8‐SCM NPs exhibit pH responsiveness, thereby generating an intracellular Zn2+ storm to accelerate neural differentiation through calcium and MAPK signaling pathways. Moreover, they promote function recovery in
Jie Wang, Lusen Shi, Xinhui Liu, Zhong Zhuang, Zhichao Feng, Chunhui Sun, Jingang Wang, Nik Ahmad Nizam Nik Malek, Wan Hairul Anuar Kamaruddin, Shuping Wang, Hengxing Zhou, Na Ren   +11 more
wiley   +1 more source

Carbon Anodes for Low‐Temperature Nonaqueous Alkali Metal‐Ion Batteries

EcoEnergy, EarlyView.
This review summarizes recent progress in carbon anodes for low‐temperature nonaqueous alkali‐metal ion batteries. Fundamental thermodynamic and kinetic limitations are examined, alongside a systematic discussion of graphite, hard carbon, and emerging carbon architectures.
Zhichun Miao, Dandan Yu, Guojie Liu, Yuyang Qin, Jingyun Mou, Wenlong Song, Lu Shi, Zengqin Xiao, Xin Yuan, Huayu Chen, Laishun Qin, Da Chen   +11 more
wiley   +1 more source

Polycarbonate Vitrimers and Dynamic Co‐Networks From Epoxide/Carbon Dioxide Copolymerization

Macromolecular Rapid Communications, EarlyView.
This work demonstrates how CO2‐derived poly(propylene carbonate) and poly(cyclohexene carbonate) backbones influence vitrimer thermo‐mechanical behavior. By tuning backbone composition, epoxide crosslinker chemistry and blend ratios, the crosslinked materials span a wide property window, from highly extensible to stiff, glassy networks, establishing an
Satej S. Joshi, Sophia Aracri, Mark D. Foster, James M. Eagan   +3 more
wiley   +1 more source

Regular Articles [PDF]

Materials Research, 2003
This paper presents a review of researches on CBN (cubic boron nitride) grinding wheels with the purpose of identifying the state of art in abrasive machining and serving as the basis for future researches and laboratory tests.
Eduardo Carlos Bianchi, Paulo Roberto de Aguiar, Rodrigo Daun Monici, Luiz Daré Neto, Leonardo Roberto da Silva   +4 more
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