Results 101 to 110 of about 7,747 (289)
Waveguide Geometry–Driven Trade‐Offs in Resonant Cavity Sensor Performance
Waveguide geometry governs the interplay between sensitivity, intrinsic Q‐factor, and wavelength noise in silicon nitride resonant sensors. Contrary to intuition, higher sensitivity does not ensure superior performance. Low‐noise, high‐Q ridge resonators achieve the lowest detection limits, revealing that detection is ultimately constrained by noise ...
Mohammad Talebi Khoshmehr +6 more
wiley +1 more source
Computational lithography with advanced optimization algorithms
Lithography techniques have long been the driving power for the advancement of Moore’s law for the semiconductor industry. In recent years, next generation lithog- raphy techniques, such as extreme ultraviolet lithography, have been extensively de- layed.
openaire +1 more source
Machine Learning Enables Inverse Design of Optically Driven Microscopic Metavehicles
Machine‐learning‐based inverse design is used optimize “metavehicles” — flat microparticles based on metagratings that generate a strong lateral optical force from normally incident light. The optimized design exhibits a force efficiency of ∼88% and a measured propulsion speed in water much higher than previously reported, demonstrating that inverse ...
Vasilii Mylnikov +2 more
wiley +1 more source
This paper presents and compares two different strategies in the numerical simulation of passive microfluidic mixers based on chaotic advection. In addition to flow velocity field calculations, concentration distributions of molecules and trajectories of
Eszter L. Tóth +3 more
doaj +1 more source
Auto‐Routing Fluidic Printed Circuit Boards
This work introduces (STREAM) software tool for routing efficiently advanced macrofluidics, an open‐source software tool for automating the design of 3D‐printable fluidic circuit boards. STREAM streamlines tube routing and layout, enabling the rapid fabrication of fluidic networks for soft robotics, lab‐on‐a‐chip devices, microfluidics, and biohybrid ...
Savita V. Kendre +3 more
wiley +1 more source
3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends
Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu +5 more
wiley +1 more source
A hybrid algorithm for solving inverse problems in elasticity
The paper offers a new approach to handling difficult parametric inverse problems in elasticity and thermo-elasticity, formulated as global optimization ones. The proposed strategy is composed of two phases.
Barabasz Barbara +5 more
doaj +1 more source
Soft Actuators Integrated with Control and Power Units: Approaching Wireless Autonomous Soft Robots
Soft robots exhibit significant development potential in various applications. However, there are still key technical challenges regarding material improvement, structure design and components integration. This review focuses on the development and challenge of soft actuators, power components, and control components in untethered intelligent soft ...
Renwu Shi, Feifei Pan, Xiaobin Ji
wiley +1 more source
Liquid Crystalline Elastomers in Soft Robotics: Assessing Promise and Limitations
Liquid crystalline elastomers (LCEs) are programmable soft materials that undergo large, anisotropic deformation in response to external stimuli. Their molecular alignment encodes directional actuation in a monolithic structure, making them long‐standing candidates for soft robotic systems.
Justin M. Speregen, Timothy J. White
wiley +1 more source

