5 papers · ranked by Valyu relevance
Matteo Farina, Pietro Zamberlan, Arno Onken, Ulisse Ferrari
For datasets with thousands of neurons and images, vision transformers have proven successful at predicting neural responses to stimuli. However, they are expected to underperform in low-data regimes, where CNNs and Gaussian processes are considered more effective. We ask whether transformers can be made competitive…
Seyoung Han, Taehyun Lee, Haeun Kim, Ji Hyun Um + 1 more
Zinc metal is a promising anode for aqueous zinc batteries due to its high theoretical capacity and low cost. However, its practical implementation remains limited by dendrite formation and interfacial instability. Herein, we present a geometry-driven strategy that regulates Zn deposition through control of the hole…
Xinyi Cao, Chao Ye, Shengjie Ling, Ming Li + 3 more
Fiber-shaped electronic systems provide a promising platform for wearable sensing and intelligent textiles, yet the continuous processing of uncured silicone-based conductive materials remains challenging because of their low structural stability during fiber formation. Here, we develop a coaxial wet-spinning strategy…
Xu Lin, Meisheng Han, Haolin Ju, Hengyuan Hu + 6 more
Title: Highlights 1. Systematically elucidates the physical (transmembrane migration-induced volume imbalance), chemical (inactivation of active species), and interfacial (electrode degradation, hydrogen/oxygen evolution) origins of capacity fade in redox flow batteries. 2. Summarizes recovery approaches from physical…
Heng Zhang, Yichong Sun, Xiaoting Zhang, Chi‐Kwan Lee + 4 more
Capsule endoscopes play an essential role in visualizing the gastrointestinal tract and identifying pathological lesions, but existing systems are still largely limited to passive visualization without therapeutic capability. Here, we present a proof-of-concept multifunctional capsule robot (MCR) integrating diagnostic…