Results 191 to 200 of about 94,457 (311)

Probing Near‐Field EM Fluctuations in Superparamagnetic CoFeB With NV Quantum Dephasometry

open access: yesAdvanced Optical Materials, EarlyView.
We non‐invasively investigate the superparamagnetic spin dynamics of a 1.1 nm CoFeB layer by probing its near‐field EM fluctuations using NV centers‐based quantum dephasometry. Our findings are further supported by theoretical modeling and SQUID‐based magnetization characterization. These results provide critical insight into the magnetization dynamics
Shoaib Mahmud   +5 more
wiley   +1 more source

Spacer‐Less Substrate‐Integrated Metasurface for Near‐Unity Terahertz Absorption

open access: yesAdvanced Optical Materials, EarlyView.
ABSTRACT Although conventional metal‐insulator‐metal (MIM) terahertz (THz) absorbers can provide near‐unity absorption, their multilayer stacks inevitably introduce additional thickness, mass, and residual stress, which limit their compatibility with THz thermal sensing platforms.
Zihao Zhao   +6 more
wiley   +1 more source

Relations between premise similarity and inductive strength

open access: yes
According to the diversity principle, diverse evidence is strong evidence. There has been considerable evidence that people respect this principle in inductive reasoning. However, exceptions may be particularly informative.

core  

Micromachined Double‐Membrane Mechanically Tunable Metamaterial for Thermal Infrared Filtering

open access: yesAdvanced Photonics Research, Volume 6, Issue 5, May 2025.
Herein, a mechanically tunable double‐layer plasmonic metamaterial leveraging the extraordinary optical transmission effect observed in subwavelength arrays of openings within thin metal layers is presented. The concept is experimentally validated by integrating the proposed metamaterial structure into an electrostatic parallel‐plate actuator to create
Oleg Bannik   +7 more
wiley   +1 more source

On–Off Switchable Micromotors for Use in Steerable Microvehicles

open access: yesAdvanced Robotics Research, EarlyView.
Electrically controllable micromotors and microvehicles are developed by tuning the diffusion of the fuel. Self‐propelled micromotors using bubble propulsion show great promise for miniaturized devices with multiuse purposes such as cargo delivery and sensing. However, there is currently no method to electrically switch the micromotors on or off. Here,
Hugo Severinsson   +3 more
wiley   +1 more source

Toward Wireless Implantable Robotic Systems Driven by Magnetic Field for Personalized Therapy

open access: yesAdvanced Robotics Research, EarlyView.
Robotic materials are playing an increasingly vital role in enabling sensing and actuation at small scales. This perspective highlights recent advances in magnetic materials and magnetically actuated devices for wireless sensing, actuation, and energy harvesting toward implantable robotic systems for closed‐loop therapy.
Yusheng Wang, Ruijian Ge, Xiaoguang Dong
wiley   +1 more source

A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics

open access: yesAdvanced Robotics Research, EarlyView.
This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett   +5 more
wiley   +1 more source

Tailoring Vascular‐Immune Homeostasis via Manganese‐DNA Complex‐Armed Immunogenic Extracellular Vesicles for Pancreatic Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
This study demonstrates that Mn2⁺–tumor DNA complexes encapsulated in dendritic cell (DC)– derived immunogenic extracellular vesicles (EVDC@Mn‐DNA) act as a DC‐specific cGAS– STING activator. EVDC@Mn‐DNA treatment enhances intratumoral DC activation, improves tumor vascular function, promotes CD8⁺ T cell activity, and suppresses pancreatic tumor growth,
Xue Jiang   +13 more
wiley   +1 more source

AutomataGPT: Transformer‐Based Forecasting and Ruleset Inference for Two‐Dimensional Cellular Automata

open access: yesAdvanced Science, EarlyView.
We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich   +2 more
wiley   +1 more source

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