Results 141 to 150 of about 1,610,731 (328)

Marginal Adaptation of Commercial Compomers in Dentin Cavity.

, 1998
M Kusunoki, Kazuo ITOH, H. Hisamitsu, S Wakumoto   +3 more
openalex   +2 more sources

Self‐Assembled Gallium Sulfide (GaS) Heterostructures Enabling Efficient Water Splitting and Selective Ammonia Sensing

Advanced Functional Materials, EarlyView.
Gallium sulfide (GaS) forms self‐assembled heterostructures with its native oxide, exhibiting high performance in water splitting and ultrasensitive and selective ammonia detection. Surface defects and controlled oxidation enhance catalytic activity and sensing response.
Danil W. Boukhvalov, Gianluca D'Olimpio, Tsotne Dadiani, Jyayasi Sharma, Ashraf Abdelrahman Assadig Elameen, Stefano Zenone, Marcin Rosmus, Bekir Gürbulak, Emir Çepni, Eduard Llobet, Elena Magnano, Federica Bondino, Songül Duman, Antonio Politano   +13 more
wiley   +1 more source

“Marginal adaptation of direct composite and sandwich restorations in class II cavities with cervical margins in dentine” Journal of Dentistry 1999;27(2):119–128 by Th. Dietrich, A.C. Lösche, G.M. Lösche, J.-F. Roulet

, 1999

openalex   +1 more source

Metal‐Organic Nanosheet Gels: Hierarchically Porous Materials for Selective Loading and Differential Release

Advanced Functional Materials, EarlyView.
A suspension of metal‐organic nanosheets was centrifuged to form self‐healing gels with a hierarchically porous structure. The prepared gels were used to selectively capture small molecules from solutions and differentially release them based on their size and charge. Abstract Metal‐organic nanosheets (MONs) are intrinsically porous 2D materials with a
Jiangtian Tan, Jonathan A. Foster
wiley   +1 more source

The Effect of Ceramic Material and Thermocycling on the Marginal Adaptation of Onlay Restorations [PDF]

, 2021
Afnan Hassan, Marwa Wahsh, Osama Soha
openalex   +1 more source

Metal Nanoclusters for Cancer Imaging and Treatment

Advanced Functional Materials, EarlyView.
This review aims to provide a comprehensive summary and discussion of the core–shell design capabilities of metal nanoclusters (NCs) at the atomic level for cancer imaging and treatment. It offers essential insights into the design principles of metal NCs while also encouraging the exploration of other nanomaterials and their potential theranostic ...
Haiguang Zhu, Ziping Wang, Qiaofeng Yao, Ping Zhang, Jianping Xie, Xun Yuan   +5 more
wiley   +1 more source

Effect of adding ribbond fibres on marginal adaptation in class II composite restorations in teeth with affected dentine [PDF]

, 2020
Mukesh Hasija, Babita Meena, Deepti Wadhwa, Vivek Aggarwal   +3 more
openalex   +1 more source

Evaluation of the marginal adaptation of class II restorations carried out in a Faculty in the State of Espírito Santo [PDF]

, 2022
Millena Corrêa RODRIGUES, Leandra Pereira COLOMBO, Rebeca Raine dos Santos LOPES, Arlinda Lúcia Zocatelli Calenzani, Hindra Colodetti Masioli   +4 more
openalex   +1 more source

Printing Nacre‐Mimetic MXene‐Based E‐Textile Devices for Sensing and Breathing‐Pattern Recognition Using Machine Learning

Advanced Functional Materials, EarlyView.
This study presents a Ti3C2Tx MXene/WPU nacre‐mimetic nanomaterial as a printable ink for direct‐write printing onto textiles‐based sensors. The resulting wearable device demonstrates high sensitivity, biocompatibility, and mechanical strength. Furthermore, NFC‐enabled humidity sensor produces time‐series data, which informs a machine learning ...
Lulu Xu, Wenqing Chen, Qian Li, Rohit Gupta, Biswajoy Bagchi, Laurence B. Lovat, Manish K. Tiwari   +6 more
wiley   +1 more source

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

Advanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu, Junyuan Lu, Jian Hui, Ziyuan Rao, Yang Ren, Hong Wang   +5 more
wiley   +1 more source