Results 281 to 290 of about 286,671 (323)

Micro‐ and Nano‐Bots for Infection Control

open access: yesAdvanced Materials, EarlyView.
This review presents a strategic vision for integrating micro‐ and nanobots in the pipeline for infection diagnosis, prevention, and treatment. To develop these robots as a practical solution for infection management, their design principles are clarified based on their propulsion mechanisms and then categorized infection management domains based on ...
Azin Rashidy Ahmady   +5 more
wiley   +1 more source

High-efficiency sparse convolution operator for event-based cameras. [PDF]

open access: yesFront Neurorobot
Zhang S   +7 more
europepmc   +1 more source

On‐Chip Active Supercoupled Topological Cavity

open access: yesAdvanced Materials, EarlyView.
The on‐chip supercoupled cavity device is demonstrated realizing a record cavity excitation distance exceeding three wavelengths, leveraging the valley‐conserved supercoupling mechanism in the valley Hall topological system. This optothermal tunable design enables new degrees of freedom for supercoupled photonic cavities in mux‐demux, lasers, sensors ...
Ridong Jia   +7 more
wiley   +1 more source

Biomimetic Dynamics of Nanoscale Groove and Ridge Topography for Stem Cell Regulation

open access: yesAdvanced Materials, EarlyView.
Dynamic nanoscale groove‐ridge structures are engineered by flexibly conjugating RGD‐magnetic nanoparticles to nanogroove templates with variable groove widths at the molecular scale. Magnetic control enables cyclic switching between nanoscale groove and ridge states that modulates ligand accessibility of cellular integrins.
Hyunsik Hong   +8 more
wiley   +1 more source

Challenges and Opportunities of Upconversion Nanoparticles for Emerging NIR Optoelectronic Devices

open access: yesAdvanced Materials, EarlyView.
The special photo‐responsiveness of upconversion nanoparticles has opened up a new path for the advancement of near‐infrared (NIR)‐responsive optoelectronics. However, challenges such as low energy‐conversion efficiency and high nonradiative losses still persist.
Sunyingyue Geng   +7 more
wiley   +1 more source

Characterization and Inverse Design of Stochastic Mechanical Metamaterials Using Neural Operators

open access: yesAdvanced Materials, EarlyView.
This study presents a DeepONet‐based machine learning framework for designing stochastic mechanical metamaterials with tailored nonlinear mechanical properties. By leveraging sparse but high‐quality experimental data from in situ micro‐mechanical tests, high predictive accuracy and enable efficient inverse design are achieved.
Hanxun Jin   +7 more
wiley   +1 more source

Home - About - Disclaimer - Privacy