Results 201 to 210 of about 3,145,353 (312)

Chloride‐Mediated Electron Buffering on Ni‐Fe Anodes for Ampere‐Level Alkaline Seawater Electrolysis

open access: yesAdvanced Functional Materials, EarlyView.
Utilizing abundant chloride ion (Cl−) of seawater, the small organic molecule (SOM) layer on the electrocatalyst surface is converted to SOM‐Cl layer. Meanwhile, the conjugated structure of SOM is modified. SOM‐Cl layer can effectively mitigate the damage caused by the highly oxidative environment.
Qian Niu   +4 more
wiley   +1 more source

Transducer Materials Mediated Deep Brain Stimulation in Neurological Disorders

open access: yesAdvanced Functional Materials, EarlyView.
This review discusses advanced transducer materials for improving deep brain stimulation (DBS) in neurological disorders. These materials respond to light, ultrasound, or magnetic fields, enabling precise, less invasive neuromodulation. Their stimulus‐responsive properties enhance neural control and adaptive therapy, paving the way for next‐generation ...
Di Zhao   +5 more
wiley   +1 more source

Effectiveness of acupotomy combined with nerve block therapy for cervical radiculopathy: A systematic review and meta-analysis. [PDF]

open access: yesMedicine (Baltimore)
Choi HK   +8 more
europepmc   +1 more source

Conformally Perforated Shellular Metamaterials with Tunable Thermomechanical and Acoustic Properties

open access: yesAdvanced Functional Materials, EarlyView.
This study introduces Conformally Perforated Shellular Metamaterials (CPSMs), which overcome TPMS design limitations by mapping 2D cellular layouts onto 3D surfaces. CPSMs exhibit enhanced elastic stiffness, thermal conductivity, and acoustic performance compared to intact P‐type shellulars, demonstrating their potential as multifunctional ...
Benyamin Shahryari   +8 more
wiley   +1 more source

Machine Learning Guided Design of Nerve‐On‐A‐Chip Platforms with Promoted Neurite Outgrowth

open access: yesAdvanced Functional Materials, EarlyView.
Compared to labor‐intensive trial‐and‐error experimentation, a machine learning (ML)‐guided workflow, incorporating cell viability assays, data augmentation, ensemble modeling, and model interpretation, is developed to accelerate nerve‐on‐a‐chip optimization and uncover data‐driven design principles.
Tsai‐Chun Chung   +8 more
wiley   +1 more source

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