Results 231 to 240 of about 352,450 (292)

Metal Nanoclusters for Cancer Imaging and Treatment

open access: yesAdvanced 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   +5 more
wiley   +1 more source

How Does Deep Neural Network-Based Noise Reduction in Hearing Aids Impact Cochlear Implant Candidacy? [PDF]

open access: yesAudiol Res
Saoji AA   +12 more
europepmc   +1 more source

Understanding Postdeposition Treatments of Hole‐Transporting Self‐Assembling Molecules for Perovskite/Silicon Tandem Solar Cells

open access: yesAdvanced Functional Materials, EarlyView.
The influence of postdeposition treatments on the formation of self‐assembling (mono)layers commonly utilized as hole transport layers in perovskite‐based solar cells is thoroughly investigated. The implementation of a washing step and an annealing step at temperatures exceeding the current literature standards leads to an enhanced layer quality and ...
Jann B. Landgraf   +14 more
wiley   +1 more source

Dynamic Schwarz Meta-Foams: Customizable Solutions for Environmental Noise Reduction. [PDF]

open access: yesAdv Sci (Weinh)
Saatchi D   +8 more
europepmc   +1 more source

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

open access: yesAdvanced 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   +6 more
wiley   +1 more source

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

open access: yesAdvanced 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   +5 more
wiley   +1 more source

Evaluating the effect of noise reduction strategies in CT perfusion imaging for predicting infarct core with deep learning. [PDF]

open access: yesNeuroradiol J
Crouch JJF   +7 more
europepmc   +1 more source

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