A Real‐Time Imaging Sensing System to Visualize Elastomer Surface Profile Evolution for Dynamic Tactile Recognition DOI
Zhibin Zou, Zilan Li, Yuanzhi Zhou

et al.

Advanced Functional Materials, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 6, 2024

Abstract Elastomer‐based interfaces provide rich functionalities for tactile sensing, particularly in making tiny differences contact dynamics potentially detectable. However, the minimal motion‐induced changes elastomer's surface and their disappearance during time‐lapse limit state recognition within current scheme of motion recognition. In this work, a new real‐time mode subtle deformations is proposed, which uses an optical sensing system to visualize distinguish variations profile evolution encoded as images. Illustrating with sphere, sliding‐induced asymmetric elastomer deformation visualized “drag” The convolutional neural network (CNN) algorithm used analyze contour features interaction between sphere elastic medium. Motion achieved 80% accuracy when displacement only 8.3% diameter produced. addition, also offers potential dynamic information through single image, 82.7% velocity This framework soft media paves way novel motion‐based input commands human‐computer applications.

Language: Английский

Chip-scale metaphotonic singularities: topological, dynamical, and practical aspects DOI Creative Commons
Tianyue Li, Mengjiao Liu,

Jiahao Hou

et al.

Chip, Journal Year: 2024, Volume and Issue: unknown, P. 100109 - 100109

Published: Sept. 1, 2024

Language: Английский

Citations

4
Optothermal Revolution: Colloids in an Optical Ring Trap DOI

Rahul Chand,

Ashutosh Shukla, G. V. Pavan Kumar

et al.

ACS Photonics, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 7, 2025

Directional motion is commonly observed in various living active systems, such as bacterial colonies moving through confined environments. In these the dynamics arise from collective effects of mutual interactions between individual elements, well their with obstacles or boundaries. this study, we turn our focus to an artificial system and experimentally investigate emergence directional revolution dimer trimer structures composed colloidal particles ring-shaped optical illumination. case, movement exclusively facilitated by optothermal interactions─without any direct mechanical force applied external field. Depending on absorption properties particles, can exhibit both attractive repulsive characteristics. The provide necessary driving that propels motion, while serve control structural parameters system. arrangement interaction within fuel controlled, revolution, gradient acting a confining factor, guiding along specific path. Notably, systems be tuned altering intensity This study useful model for understanding insights into biological where group environmental are key coordinated movement.

Language: Английский

Citations

0
A Biomimetic Stress Field Modulation Strategy Inspired by Scorpion Compound Slit Sensilla Enabled High-Accuracy and Low-Power Positioning Sensor for Identifying the Load Incident Angles DOI
Junqiu Zhang, Yu Chen, Haoran Li

et al.

Journal of Bionic Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 7, 2025

Language: Английский

Citations

0
Pushing the Frontiers: Artificial Intelligence (AI)‐Guided Programmable Concepts in Binary Self‐Assembly of Colloidal Nanoparticles DOI Creative Commons
Cancan Li, Lindong Ma, Zhenjie Xue

et al.

Advanced Science, Journal Year: 2025, Volume and Issue: unknown

Published: April 26, 2025

Abstract Colloidal nanoparticle self‐assembly is a key area in nanomaterials science, renowned for its ability to design metamaterials with tailored functionalities through bottom‐up approach. Over the past three decades, advancements synthesis and assembly control methods have propelled transition from single‐component binary assemblies. While has been recognized as significant concept materials design, potential intelligent customized often overlooked. It argued that future trend of nanocrystalline superlattices (BNLSs) can be analogous ‘0s’ ‘1s’ computer programming, customizing their precise these basic units could significantly expand application scope. This review briefly recaps developmental trajectory assembly, tracing evolution simple assemblies complex co‐assemblies unique property changes they induce. Of particular significance, this explores prospects co‐assembly, viewed lens ‘AI‐guided programmable assembly’. Such an approach shift paradigm passive active, leading creation new disruptive properties driving profound across multiple high‐tech fields.

Language: Английский

Citations

0
Harnessing optical forces with advanced nanophotonic structures: principles and applications DOI Creative Commons

Geze Gao,

Tianhua Shao,

Tianyue Li

et al.

Discover Nano, Journal Year: 2025, Volume and Issue: 20(1)

Published: May 3, 2025

Non-contact mechanical control of light has given rise to optical manipulation, facilitating diverse light-matter interactions and enabling pioneering applications like tweezers. However, the practical adoption versatile tweezing systems remains constrained by complexity bulkiness their setups, underscoring urgent requirement for advancements in miniaturization functional integration. In this paper, we present innovations manipulation within nanophotonic domain, including fiber-based metamaterial tweezers, as well emerging manipulating cells artificial micro-nano robots. Furthermore, explore interdisciplinary on-chip devices that integrate photonic crystals optofluidics. By merging with dynamism nanophotonics metamaterials, work seeks chart a transformative pathway future optomechanics beyond.

Language: Английский

Citations

0
All-Optical Trapping and Programmable Transport of Gold Nanorods with Simultaneous Orientation and Spinning Control DOI Creative Commons
José A. Rodrigo, Tatiana Alieva,

Vanesa Manzaneda‐González

et al.

ACS Nano, Journal Year: 2024, Volume and Issue: 18(40), P. 27738 - 27751

Published: Sept. 25, 2024

Gold nanorods (GNRs) are of special interest in nanotechnology and biomedical applications due to their biocompatibility, anisotropic shape, enhanced surface area, tunable optical properties. The use GNRs, for example, as sensors mechanical actuators, relies on the ability remotely control orientation well translational rotational motion, whether individually or groups. Achieving such particle by using tools is challenging exceeds capabilities conventional laser tweezers. We present a tool that addresses this complex manipulation problem curve-shaped trap, enabling capture programmable transport single multiple GNRs along any trajectory. This type trap combines confinement propulsion forces with torque while simultaneously controlling rotation (spinning) orientation. proposed system facilitates light-driven quantitative characterization motion dynamics including speed, spinning frequency, orientation, strength. experimentally demonstrate remote can be achieved both near substrate (2D trapping) deep within sample (3D all-optical trapping). two sets off-resonant possessing similar aspect ratios but different resonance wavelengths, analyzed highlight role played properties process. experimental results supported theoretical model describing observed GNRs. significantly facilitate nanorods.

Language: Английский

Citations

0
A Real‐Time Imaging Sensing System to Visualize Elastomer Surface Profile Evolution for Dynamic Tactile Recognition DOI
Zhibin Zou, Zilan Li, Yuanzhi Zhou

et al.

Advanced Functional Materials, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 6, 2024

Abstract Elastomer‐based interfaces provide rich functionalities for tactile sensing, particularly in making tiny differences contact dynamics potentially detectable. However, the minimal motion‐induced changes elastomer's surface and their disappearance during time‐lapse limit state recognition within current scheme of motion recognition. In this work, a new real‐time mode subtle deformations is proposed, which uses an optical sensing system to visualize distinguish variations profile evolution encoded as images. Illustrating with sphere, sliding‐induced asymmetric elastomer deformation visualized “drag” The convolutional neural network (CNN) algorithm used analyze contour features interaction between sphere elastic medium. Motion achieved 80% accuracy when displacement only 8.3% diameter produced. addition, also offers potential dynamic information through single image, 82.7% velocity This framework soft media paves way novel motion‐based input commands human‐computer applications.

Language: Английский

Citations

0